Browse Topic: Logistics

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Study of Style wheel rim failure Due to Rim and disc assembly interference2026-26-0541To be published on 01/16/2026
This study focuses on the investigation of wheel rim failures near weld zone during repeated cornering induced by interference between the rim and disc during the wheel manufacturing assembly process. Strain gauges were employed to capture real-time stress and strain distributions at critical zones during interference fitting. The experimental results revealed that improper interference levels lead to significant stress concentrations, often surpassing the material's elastic limit, initiating micro-crack formation and promoting fatigue failure. Detailed strain analysis indicated that both radial and axial stresses contribute to long-term structural degradation. The study highlights the critical role of dimensional tolerances, surface finishes, and assembly forces in minimizing stress-induced failures. Recommendations are provided for optimizing design and assembly practices to enhance the durability and reliability of automotive wheels.
P, Praveen, DEsigan, Lakshmipathy, K, CHANDRAMOHAN, C, Santhosh
A Novel Approach to Optimal Strain Gauge Placement for Structural Assessment: Integrating Close Looping Configuration with Calibration Techniques2026-26-0551To be published on 01/16/2026
Addressing the challenge of optimal strain gauge placement on complex structural joints and pipes, this research introduces a novel methodology combining strategic gauge configurations with numerical optimization techniques. Traditional methods often struggle to accurately capture combined loading states and real-world complexities, leading to measurement errors and flawed structural assessments. For intricate joints, a looping strain gauge configuration is proposed to comprehensively capture both bending and torsional effects, preventing the bypassing of applied loads. A calibration technique is used to create strain distribution matrices and access structural behavior under different loading conditions. Optimization algorithms are then applied to identify gauge placements that yield well-conditioned matrices, minimizing measurement errors and enhancing data reliability. This approach offers a cost-effective solution by reducing the number of gauges required for accurate stress
shingate, Uttam, Yadav, Dnyaneshwar
Next Gen Automotive EDS Architecture design verification using real-time function mode simulation & failure condition analysis2026-26-0454To be published on 01/16/2026
In current automotive electrical design practices, simulation and functional verification of the Electrical Distribution System (EDS) at the design stage are largely absent. Typically, the validation of controller behaviour and EDS wiring is performed only during HIL, SIL, MIL, prototype testing, or physical vehicle trials, often revealing issues late in the development cycle. This delay leads to costly redesigns, prolonged timelines, and increased chances of failure during vehicle integration. Therefore, there is a critical need for an early-stage simulation methodology that ensures robust EDS and controller design, enabling "first-time-right" readiness at the design stage itself. The proposed simulation framework introduces a function mode-based structural approach, where individual vehicle functions are mapped to their corresponding electrical circuits within the vehicle’s wiring system. Resistance values are allocated to specific paths depending on the active function or
Jaisankar, Gokulnath, Warke, Umakant
Simulation of EV range Estimation for different payload of vehicle.2026-26-0389To be published on 01/16/2026
The electrification of transportation is reshaping the automotive and logistics industries, with electric vehicles (EVs) playing an increasingly central role in passenger mobility and commercial operations. As EV adoption grows, the need for accurate range estimation becomes critical, particularly under varying operational conditions such as increased payload. A key business challenge lies in the significant variability of EV range due to changes in vehicle load, which can affect performance, operational efficiency, and cost-effectiveness—especially for fleet-based services. This study focuses on addressing the technical gap in predicting EV range with respect to different payload conditions. Traditional range estimation methods often fail to account for real-world variables like additional cargo weight, leading to suboptimal route planning, increased energy consumption, and unanticipated charging requirements. Payload-induced range degradation can result in up to some deviation in
Khatal, Swaraj, Gupta, Anjali, Krishna, Thallapaka
A Noval methodology of compact cooling unit design for Truck applications by using CAE CFD simulation2026-26-0460To be published on 01/16/2026
The implementation of AC unit on truck as compulsory as per government guideline demands the AC supplier to design a compact and modular AC unit within the available package space. The installation of AC unit inside the vehicle helps the driver to drive safely due to better cabin comfort. This will reduce fatigue due to the long driving of the truck drivers. Thereby the safety of the truck and driver will be saved with the implementation. But there are challenges for AC manufactures to design the compact size AC unit. The challenges like performance, durability, cost and less noise to be met as per customer requirement. To overcome the issue of design at the early stage and compact AC unit within small space is possible with the support of simulation software. AE and CFD plays a major role in this regard. So first unit level CAE and CFD analysis conducted to predict the result. AE used for checking the strength of the mounting bracket of cooling unit and CFD used for verifying the air
Parayil, Paulson
Sustainable Tyre- A Journey to Meet Future Requirements of Tyre Industry2026-26-0291To be published on 01/16/2026
Sustainability and environmentally friendly business practices are becoming essential. Tyre industries are embracing the green initiatives to reduce its impact on the environment by exploring the eco-friendly strategies. Starting from the ethical raw material sourcing to a creative recycling technique, strategies are widely distributing in every step of tyre manufacturing to disposition. Each stage of a tyre's life cycle viz. raw material procurement, manufacturing, transportation both upstream and downstream as well as during the end-of-life phases have an emission-saving potential. It is important to reduce emissions at every stage of tyre's lifecycle. We, JK Tyre has recently developed a Sustainable Tyre with 11% less GHG emission through sustainable raw material approach. Bio sourced or bio attributed raw materials like Styrene Butadiene Rubber (SBR), Polybutadiene Rubber (PBR), Rubber process oil (RPO) and Silica along with natural rubber (NR) had been used. Beside the raw
Bhandary, Tirthankar, Singha Roy, Sumit, Paliwal, Mukesh, Dasgupta, Saikat, Chattopadhyay, Dipankar, Das, Mahuya, Mukhopadhyay, Rabindra
Optimization of Battery Mixing Strategies to Enhance Electric Vehicle Performance and Efficiency2026-26-0209To be published on 01/16/2026
Fleet operators increasingly contend with a patchwork of battery‑pack generations that remain electro‑chemically compatible yet differ markedly in capacity, internal resistance and residual life. Conventional “like‑for‑like” replacement policies oblige service providers to retain costly legacy inventories or to install brand‑new packs in ageing vehicles—both scenarios inflating warranty exposure and material waste. Deploying a rational mixing strategy for packs of different vintages therefore offers a compelling path to lower costs and improve sustainability, but industry‑wide guidance is limited and confidence in performance impacts remains low. This paper presents an optimisation‑driven framework that determines when and how heterogeneous packs can be paired at the moment of integration while maintaining vehicle performance targets and minimising life‑cycle cost. The methodology combines: a physics‑based electro‑thermal performance model parameterised for discrete state‑of‑health
Nair, Sandeep R., Ravichandran, Balu Prashanth, Hallberg, Linus
Modelling and Analysis of Hypoid Gear Churning Loss in Rear Drive Axle: The Role of Oil Viscosity and Empirical Parameters2026-26-0508To be published on 01/16/2026
This definitive study investigates the variation of churning losses occurring with hypoid ring and pinion gear sets and puts primary importance to factors that determine energy dissipation in these mechanisms. A detailed investigation shows that viscosity is critical, particularly due to large temperature-dependent variations. Besides this, the study focuses on particular attention to experimental parameters derived from measured data to model churning losses. Churning Loss itself originates in the interaction between the rotation of the gears and the lubricating oil - a source of significant inefficiency within the overall drivetrain. A robust, comprehensive model has been formulated to take this into account. It does not only account for variable oil viscosity with temperature but integrates key empirical parameters that reflect observed behaviours in gear systems. The study adopts a multidimensional approach by considering the influence of various other factors. It investigates how
Khan, Aliya Javid, Praveen, Abhinav, Kanagaraj, Pothiraj, Jain, Saurabh Kumar, AP, Baaheedharan
Brake Judder Resolution through Experimental Testing2026-26-0587To be published on 01/16/2026
Brake judder is a critical concern in modern automotive systems, impacting both vehicle performance and passenger comfort. This phenomenon manifests as undesirable vibrations during braking, often caused by various factors such as vehicle architecture, different wheelbase, brake design considerations, load distribution, suspension characteristics etc. These vibrations not only compromise braking efficiency but also affect the overall driving experience, making it a priority issue for automotive engineers and researchers. This paper investigates the root causes of brake judder in a M3 Bus category vehicle having pneumatic brake system, focusing on its mechanical aspects and operational dynamics. By employing a combination of experimental testing and analytical evaluations, the study delves into the influence of brake torque generation and its consumption during vehicle deceleration for different wheelbase vehicles having similar brake system, revealing discrepancies that contribute to
Mundkar, Rameshwar, Shete, Rahul, Nayak, Nihar, Gavade, Sarjerao
Tailgate Stiffness Mitigation and Engineering Strategy for Y-to-Y Tailgate-Mounted Tail Lamp Integration2026-26-0494To be published on 01/16/2026
The tailgate, as the rearmost vehicle opening, plays a pivotal role in defining the rear aesthetic theme while ensuring structural durability and maximizing luggage space. Contemporary automotive design trends highlight an increasing demand for Y-to-Y tailgate-mounted tail lamp configurations, which deliver a bold and dynamic visual appeal. Enhanced by animated lighting features, these designs cater to the preferences of Gen Z customers, becoming a decisive factor in purchasing decisions. However, integrating these complex tail lamp structures introduces significant engineering challenges, including increased X-dimension volume, reduced design space, and intricate mounting schemes constrained by stamping limitations. These factors necessitate the development of innovative joinery strategies and structural definitions to maintain durability targets, including achieving 25,000–30,000 slam cycles without failure, while preserving luggage space. This paper explores a comprehensive approach
Beryl, Joshua, Mohanty, Abhinab, Unadkat, Siddharth, Selvan, Veera
Comparative Analysis and Implementation of data streaming methodologies for Vehicle Navigation Mode for Electric Trucks2026-26-0692To be published on 01/16/2026
In the realm of electric truck logistics, optimizing route planning is essential. This paper presents a key navigation feature for analyzing such optimized routes. Integrating map features into the drive mode improves user experience by offering real-time navigation and dynamic route adjustments based on traffic updates, road closures, and vehicle coordinates. This study compares the performance of Server sent events(SSE), web sockets and API polling methodologies, focusing on metrics such as data transmission efficiency, latency, resource utilization, scalability, and reliability. Our findings demonstrate the advantages and limitations of each method, providing insights into their suitability for real-time route optimization in electric truck logistics. The results highlight the potential of SSE in achieving efficient and timely data updates, contributing to more effective route planning and resource management. Additionally, we discuss how API Polling, Web sockets, and SSE each make
Bhandari, Mehul, Kaur, Prabhjot, DADOO, VISHAL, Mahendrakar, Shrinidhi, Ramanaiah, Rachala
Lightweight Cascade Design Using Type IV Cylinders for Efficient Hydrogen Gas Logistics in India2026-26-0485To be published on 01/16/2026
Hydrogen mobility in India faces a key challenge in the form of high transportation and logistics costs, particularly in tier-II and tier-III cities where dedicated pipelines are not yet feasible. Current methods using traditional steel based cascades are heavy, inefficient, and limit payload capacity. This paper presents a novel lightweight cascade system designed to enhance the efficiency of hydrogen gas logistics using Type IV composite cylinders and an aluminium structural frame. The design adheres to PESO (Petroleum and Explosives Safety Organisation) standards and achieves a structural weight reduction of 52%, owing to the use of carbon fibre composite cylinders and aluminium framework. Field level analysis demonstrates that the gas transport efficiency is improved by a factor of 2.5 compared to conventional steel based systems when used in heavy duty trucks. This innovation offers a significant step forward in enabling economically viable hydrogen distribution for mobility
Parasumanna, Ajeet Babu, Muthusamy, Hariprasad, Ammu, VNSU Viswanath, Kola, Immanuel Raju
Navigating the Field of Automotive Cybersecurity Relevant Regulations2026-26-0623To be published on 01/16/2026
In recent years many automotive cybersecurity relevant regulations have been released and some have already started to come into effect. Moreover, some other regulations will come into effect in the next few years. These regulations provide requirements and guidance to automotive organizations with different degree of specifics. In this paper, we review a number of different cybersecurity relevant regulations such as UNR 155, UNR 156, AIS 189, AIS 190, GB 44495, GB 44496, EU Cyber Resilience Act, 15 CFR Part 791. We break down and categorize these regulations based on their scope and highlight key areas relevant to different teams within the organizations. These key areas include cybersecurity management system (CSMS), software update management system (SUMS), secure software development and software supply chain security, continuous cybersecurity activities (monitoring, incident response), and vulnerability disclosure and management. We then map responsibilities from the regulations
Oka, Dennis Kengo, Vadamalu, Raja Sangili
Real-Time In-Cabin Vital Sensing and Emergency Response Using Ultra-Wideband Radar in Automotive Environments2026-26-0012To be published on 01/16/2026
This study introduces a novel in-cabin health monitoring system leveraging Ultra-Wideband (UWB) radar technology for real-time, contactless detection of occupants' vital signs within automotive environments. By capturing micro-movements associated with cardiac and respiratory activities, the system enables continuous monitoring without physical contact, addressing the need for unobtrusive vehicle health assessment. The system architecture integrates edge computing capabilities within the vehicle's head unit, facilitating immediate data processing and reducing latency. Processed data is securely transmitted via HTTPS to a cloud-based backend through an API Gateway, which orchestrates data validation and routing to a machine learning pipeline. This pipeline employs supervised classifiers—Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF)—to analyze features such as temporal heartbeat variability, respiration rate stability, and energy distribution patterns
Singh, Samagra, Pandya, Kavita, Jituri, Keerti
Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms2026-26-0206To be published on 01/16/2026
Optimizing Vehicle Routing is a key application for determining the most effective sequence of locations in electric trucks. This optimization not only enhances operational efficiency but also minimizes energy consumption and reduces overall costs. A critical aspect of Optimal Vehicle Routing is identifying charging stations along the route, particularly for electric vehicles with specific range requirements. The availability of these charging stations are crucial for maintaining the continuity of operations and preventing delays. This paper explores multiple methods for charger identification, simulating and comparing their effectiveness. The primary parameter for comparison is the execution time of the algorithm, which directly impacts the feasibility of real-time applications in logistics. The results of this study provide insights into the efficiency of different charger identification methods within the Optimal Vehicle Routing framework. By analysing execution times, the paper
Bhat, Adithya, Prasad P, Shilpa, Kolakar, Rakshita, Myers, Michael, Klein, Fischer, Shrivastava, Himanshu
Comprehensive Durability Assessment of Planet Carrier in Heavy-Duty Tipper Gearboxes Using RLDA Torque Data2026-26-0443To be published on 01/16/2026
In heavy-duty tippers, where challenging conditions demand high torque, planet carriers play a crucial role by enabling efficient load distribution and torque transmission while supporting gear ratio and speed variation in space-constrained systems such as automatic transmissions, hybrid drivetrains, and electric vehicles. This paper focuses on the comprehensive durability performance assessment of planet carriers using duty cycles derived from RLDA measurements for a heavy-duty tipper gearbox development program. The existing Design Validation Plan (DVP) for the planet carrier considers first gear utilization of 10-15% at 40% vehicle overload, in line with historical data. However, recent trends in mining applications revealed vehicle overloads of 55-65%, leading to an increase in first gear utilization (25-35%). This shift presents challenges for OEMs to enhance design durability while incorporating additional safety margins to meet the demands of a competitive, cost-driven market
Bagane, Shivraj, Pendse, Ameya
Driver-in-the-Loop Optimization of Tire-Vehicle Dynamics using Virtual Tire Development approach through CD Tire Models2026-26-0099To be published on 01/16/2026
This study provides a virtual development process using VI-Grade Driving Simulator and Adams simulation integrating CD tire models to modify all-terrain tire performance for an altered and new proposed version of an existing production vehicle. The proposed alteration introduces ride height changes, weight distribution changes, and centre of gravity changes from existing vehicle design. The proposed new vehicle variant also introduces tire change from highway terrain type to all-terrain type as it was intended to deliver some off-roading capabilities, thereby vehicle dynamics and kinematics recalibration & tuning required. The conventional development cycles through physical prototypes are time-consuming and expensive. Alternatively, this solution combines high-fidelity tire simulation, driver-in-the-loop (DIL) simulation, and multi-body dynamics analysis to reduce development time and prototype cycles. The proposed method begins with baseline correlation, augmenting Adams vehicle
Shrivastava, Apoorv, Asthana, Shivam
Powering the Future: Addressing Power Architecture bottlenecks in Next Gen Automotive Platforms.2026-26-0688To be published on 01/16/2026
As the automotive industry moves from conventional function oriented embedded ECU-based systems to Code-driven system, the core electrical and electronic (E&E) architecture is also being redesigned to support more software-driven functionality. Modern and centralized architectures promise scalability and software-driven flexibility, but they also introduce significant challenges in power distribution-an area that remains underexplored despite its critical role in overall vehicle safety and performance. Our paper aims at the adoption of the traditional power distribution approach for Next Gen vehicle architecture. It requires a fresh look at how power is distributed. In a novel E&E architecture, a single power harness supplies battery voltage to each zone. If there's a failure or voltage drop, it can affect multiple functions within that zone at once, and management of voltage regulation, thermal dissipation, and EMI/EMC compliance becomes crucial. Adding to the complexity, safety
Borole, Akash, CHAKRA, PIPUN, Warke, Umakant
An In-Depth Exploration of the Evolution and Global Adoption of Electric Motors in New Energy Vehicles2026-26-0161To be published on 01/16/2026
In recent years, the global automotive sector has undergone a transformation at an unprecedented pace, driven by rapid technological advancements and evolving consumer expectations. Central to this shift has been the accelerated adoption of electric motors as the primary propulsion mechanism in New Energy Vehicles (NEVs). This research paper explores the technological trajectory of electric motor development across four vehicle segments: two-wheelers, three-wheelers, passenger vehicles, and heavy-duty commercial vehicles. It identifies the leading electric motor technologies utilized in each of these segments, along with their prevalence across key regulated global markets. Drawing upon historical data and existing academic literature, the paper provides a comprehensive overview of current e-motor technologies and their market distribution. A regional analysis is conducted to examine variations in manufacturer preferences and deployment strategies, supported by visual representations
SINGH, ASHISH, Ray, Rakesh Kumar
A strategic approach to the selection of switchgear and busbars for EV battery packs2026-26-0165To be published on 01/16/2026
With the rising adoption of electric vehicles (EVs), the need for robust and efficient power distribution systems has become increasingly important. This paper outlines a strategic method for selecting switchgear and busbars in EV battery packs, emphasizing key factors such as safety, energy efficiency, thermal control, and future scalability. Proper optimization of these components can significantly improve performance, minimize power losses, and ensure durability under demanding operating conditions. The design and selection of battery conducting components, such as switchgears and busbars, are typically based on the maximum continuous and peak current capabilities of the EV battery pack. While this approach ensures that the components can withstand extreme conditions, it often leads to over-engineering, resulting in unnecessary costs and added weight. However, this method overlooks the dynamic power demands of the vehicle, which fluctuate based on driving conditions and usage. Real
Soman, Anu, satheesh, Goutham, K, Mathankumar
An Engineering Perspective on Cradle and Saddle Mount Configurations2026-26-0313To be published on 01/16/2026
The evolution of electric vehicles (EVs) demands optimized powertrain mounting systems to achieve superior Noise, Vibration, and Harshness (NVH) performance. This study presents a comparative evaluation of cradle-type and saddle-type mounting systems in EV applications. Experimental modal analysis and vehicle-level vibration testing were conducted to assess structure-borne and airborne noise transmission across operating conditions. Key factors such as mount stiffness, isolation efficiency, and dynamic load distribution were analyzed. Cradle systems exhibited better low- to mid-frequency isolation, whereas saddle systems offered advantages in packaging flexibility, high-frequency noise control, and reduced load distribution on supporting structures. These findings provide valuable guidance for selecting optimal mount strategies to enhance occupant comfort and acoustic quality in future EV designs. Recommendations for mount system improvements considering evolving EV architectures are
Hazra, Sandip, more, Vishwas, Naik, Sarang Pramod
Tool, Stripper, Electrical Insulation, General Specification ForAS5768A (Current)11/26/2025
This specification covers design requirements, performance requirements, and methods of procurement for tools and associated accessories used to strip aerospace vehicle electrical wire and cable. Aerospace vehicle electrical wire has stranded conductors with protective plating and specialized insulation. Poor quality wire strippers or mismatched blades can compromise the performance of wiring.
AE-8C2 Terminating Devices and Tooling Committee
Standardized composite training programAIR6671 (Current)11/26/2025
SAE CACRC has produced several standards, each representing the best-practice, recommended minimum training syllabus for the aforementioned target groups. The purpose of this document is to promote the use of these SAE standards, particularly for developing training programs for employee training, qualification in airlines and maintenance organizations, and as reference in regulatory guidance material. It summarizes, as a quick reference, the content of each training document and its relation to and interaction with other training documents. Thereby it allows users to select the appropriate training documents and syllabi to establish a comprehensive, sequential training program build-up customized to the specific needs of the aforementioned functions (see figure). This document does not intend to introduce new training content/syllabus.
AMS CACRC Commercial Aircraft Composite Repair Committee
Bearing, Plain, Self-Aligning, PTFE Lined, NarrowAS21233B (Current)11/26/2025
No scope available.
ACBG Plain Bearing Committee
Bearing, Plain, Self-Aligning, Grooved Outer Ringer PTFE Lined, WideAS21230B (Current)11/26/2025
No scope available.
ACBG Plain Bearing Committee
USCAR 11242025 TestUSCAR11242000000000000000000000-1 (Current)11/24/2025
USCAR 11242025 Test
USCAR
Plating, Brush, Cadmium Corrosion Protective, Low Hydrogen EmbrittlementAMS2451/4E (Current)11/10/2025
This specification establishes the requirements for brush plating of cadmium by electrodeposition.
AMS B Finishes Processes and Fluids Committee
Analysis of the Water Exit Process of a Vehicle Based on Fluid-Structure Interaction Analysis2025-99-000210/10/2025
The study investigated the fluid dynamics characteristics of a navigational body during emerging from water. It focus on the patterns of pressure and velocity changes in the flow field. Using numerical simulation methods, we explored the fluid-structure interaction between the navigational body and the surrounding water. It revealed the phenomenon of decreasing impact forces on the object’s surface over time and the resulting changes in surface pressure distribution. Additionally, the study demonstrated the dynamic evolution of the velocity field during emergence. This further elucidated the impact of flow state changes on the navigational body’s motion performance and stability. These findings would provide important theoretical foundations and technical support for optimizing the design of navigational bodies.
Zhang, Chaoyang, Zhang, Zhihua, Liu, Zongkui, Sui, Jiuling
Elbow Assembly 45°, Flared Tube to Retained Nut, for Seal RingAS4316A (Current)09/29/2025
SCOPE IS UNAVAILABLE.
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
TEE ASSEMBLY, FLARED TUBE, RETAINED NUT ON SIDE, FOR SEAL RINGAS4304A (Current)05/02/2025
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
TEE ASSEMBLY, FLARED TUBE, ADJUSTABLE END ON RUN, FOR SEAL RINGAS4305A (Current)05/02/2025
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
ELBOW ASSEMBLY 90°, FLARED TUBE TO ADJUSTABLE END, FOR SEAL RINGAS4303A (Current)05/02/2025
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
TEE ASSEMBLY, FLARED TUBE, ADJUSTABLE END ON SIDE, FOR SEAL RINGAS4306A (Current)05/02/2025
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
Impacts of Pulsating Flow on Topologically Optimized Porous Reactors in Convection-Diffusion-Reaction Systems2024-32-007004/18/2025
Topology optimization (TO) in electrochemical systems has recently attracted many researchers. Previous studies suggested minimal performance differences between 2D and 3D designs, indicating that 2D models suffice to enhance performance, especially in unidirectional flow scenarios. A later study found that the concentration distribution in an optimized 2D flow system differed from that in a unidirectional flow system. We posited that pulsating flow could further enhance the performance of such systems. First, we initiated TO for a diffusion-reaction system in a steady state. The optimized structure obtained from this process served as the foundation for subsequent investigations involving a pulsating flow source in convection-diffusion-reaction systems. We introduced two different systems with distinct flow natures: one characterized by a flow nature of 1D and the other by a flow nature of 2D. The results demonstrated that the optimized structure with a heterogeneous distribution
Long, Mengly, Alizadeh, Mehrzad, Sun, Pengfei, Charoen-amornkitt, Patcharawat, Suzuki, Takahiro, Tsushima, Shohji
Intelligent Courier Delivery Scheduling Based on XGBoost Feature Selection and Reinforcement Learning: A Case Study Using Chongqing Cainiao Express Data2025-01-717602/21/2025
This study tackles the issue of order delays in logistics using XGBoost for feature analysis and reinforcement learning for intelligent courier scheduling. Pickup order data from May 1 to October 31, 2023, in Chongqing is analyzed using spatio-temporal statistical methods. Key findings include that order placement peaks at 9:00 a.m., delays peak at 10:00 a.m., and the delay rate is 8.6%. A significant imbalance exists between the regional daily average of dispatchable couriers and order volumes.XGBoost is employed to predict order delays, revealing that pickup location is the most influential factor (27%), followed by courier pickup location (22%). These factors and their relationships are identified as key drivers of delays.To address these issues, a reinforcement learning-based courier scheduling optimization model is developed. The model defines courier location, current time, and pending orders as state variables and adopts an epsilon-greedy strategy for action selection
Wang, Manjun, Yu, Xinlian
Investigating the Effect of Traffic Network Information on the Evolution of Traffic Flow in Intelligent Transportation Systems under Herd Effect2025-01-721502/21/2025
Intelligent transportation has emerged as a critical paradigm in the transportation sector, underscoring the growing significance of digital information. The extent to which travelers comprehend transportation network information fundamentally influences the dynamics of traffic flow evolution. Traditional random user equilibrium models assume that travelers possess knowledge of segment flow information; however, they fail to account for route flow information. To date, research has yet to investigate how travelers’ decision-making behaviors are altered following the acquisition of route flow information. When endowed with such information, travelers frequently demonstrate behaviors influenced by the bandwagon effect, adjusting their routes to conform to the choices of the majority. This behavioral modification disrupts the existing equilibrium, resulting in a continued evolution of traffic flow until a new stable state is achieved. To examine the implications of transportation network
Zhou, Bojian, Yu, Yaofeng, Li, Shihao, Li, Kangjiao
SAE TOMORROW TODAY: The Future of Hydrogen Fuel: A Distribution Revolution1349112/10/2024
Jules Verne was ahead of his time--and so is a company inspired by his name that recognizes hydrogen's immense potential as a clean energy solution. Verne develops and commercializes a novel technology to store and distribute hydrogen in its densest form, cryo-compressed. This approach maximizes hydrogen density, addressing the limitations of compressed gas and reducing the cost of dense storage -- which is a game-changer for boosting hydrogen adoption. To learn more, we sat down with Ted McKlveen, Co-founder & CEO, Verne, to discuss the company's breakthrough solution to addressing hydrogen storage and transportation and how it can unlock the widespread adoption of hydrogen energy, particularly in sectors like Class 8 trucking. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the
Hineman, Marcie
Aviation Safety Expert Unites Industry to Safeguard Aviation Supply ChainTBMG-5212812/01/2024
In the summer of 2023, a receiving clerk in the procurement department of TAP Air Portugal, a Lisbon-based airline, made a curious discovery: A $65 engine part that should have appeared brandnew showed signs of significant wear. The clerk checked the documentation from the London-based parts supplier and noticed that the submitted documentation was also suspicious.
Data Dictionary for Quantities Used in Cyber Physical Systems (Enhanced License)AS6969_DA (Current)07/29/2024
Enhanced License for Data Dictionary for Quantities Used in Cyber Physical Systems (AS6969) allowing for greater usage as outlined in the terms of the Enhanced License. Terms can be reviewed prior to purchase once item is added to the cart. Data Dictionary for Quantities Used in Cyber Physical Systems (AS6969) This data dictionary provides a mathematically coherent set of definitions for quantity types used in data models for unmanned systems. In this data dictionary, a quantity is defined as a property of a phenomenon, substance, or body whose value has magnitude.
AS-4UCS Unmanned Systems Control Segment Architecture
SAE TOMORROW TODAY: The Cost of EV Conversion for Commercial Fleets1346206/21/2024
When it comes to incorporating EVs into commercial diesel fleets, it is important to understand the costs and benefits--and the impact on maintenance. As one of the longest-running and largest fleet owners in North America, Ryder implements logistics and transportation solutions for a wide variety of industries. By using extensive historical data and current market prices for EVs and charging infrastructure, Ryder recently examined the potential economic impacts of implementing an all-EV commercial fleet in the United States. To learn more about Ryder's analysis, we sat down with Arun Chickmenahalli, Director of Maintenance R&D at Ryder, to discuss how electrification impacts fleet maintenance, the price differences for EV conversion between states, and the ways in which Ryder is developing maintenance programs to service EV, AV and alternative fuel clients.
Hineman, Marcie
SAE TOMORROW TODAY: Setting the Standard in Autonomous Middle Mile Delivery1345505/20/2024
Autonomous box trucks that can move goods on short-haul B2B routes? It's possible -- and North America's largest grocers, retailers, distributors, and e-commerce platforms are unlocking the benefits. As the leader in autonomous middle mile delivery, Gatik is improving supply chain efficiency with their fleet of medium duty, class 3-7 autonomous box trucks. By moving goods safely and efficiently between distribution centers, fulfillment centers, stores and warehouses, Gatik is optimizing regional distribution networks for major customers like Walmart, Kroger, Loblaw, Tyson Foods, and Pitney Bowes. With operations across multiple markets including Texas, Arkansas and Ontario, Gatik has more than 60 trucks on the road today and operates the largest revenue-generating commercial fleet of autonomous trucks on the continent. To learn more, we sat down with Dr. Adam Campbell, Senior Manager, Safety Innovation and Impact, to discuss the company's safety-first approach to the development and
Hineman, Marcie
Dynamic Stress-Strain and Fatigue Life Estimation Using Limited Set of Measured Accelerometer Data on Exhaust System using System equivalent reduction and expansion process (SEREP)2024-26-025101/16/2024
The dynamic response of structures to operating or occasional loads is crucial for design considerations, as it directly impacts the cumulative fatigue life and structural health monitoring. However, accurately determining the actual loading and structural condition, encompassing boundary conditions, environmental factors, geometry, and mechanical properties, presents challenges in practice. Significant efforts are invested in identifying these factors and developing suitable prediction models. Nonetheless, the estimated forces and boundary conditions remain approximations, leading to uncertainties and influencing the overall predicted response and resulting stress-strain analysis during subsequent evaluations. Many researchers commonly approximate the forces exciting the system using limited sets of measurement points. This approach involves estimating the forces and applying them to determine the finite element displacement and subsequent stress-strain distributions. However, this
Pratap, Rajat, Apte Sr, Amol, Poosarla, Shirdi Partha Sai
A novel approach for Combi Braking System design considering tire's nonlinear behavior2024-26-005801/16/2024
The standard usage of Combined Braking System (CBS) in lower cc/power 2-wheeler vehicles serves to reduce stopping distance and improve braking stability. The CBS system achieves this by engaging both the front and rear wheel brakes, taking advantage of the high load transfer characteristic during 2-wheeler braking. However, the current design of the CBS system relies on linear system analysis, based on vehicle geometry, load distribution, and tire-road friction. This approach overlooks the non-linearities inherent in braking dynamics, such as tire behavior and dynamic Center of Gravity (CoG) location. Consequently, the current CBS design methodology exhibits limitations, particularly in extreme scenarios where wheel lock-up may occur, such as on low friction surfaces or during panic braking. This paper proposes the incorporation of tire non-linearities into the design of CBS systems using Pacejka's tire model. Initially, calculations are performed to optimize the braking
Khandekar, Piyush, Badiger, Kartik, Gautam, Ashish, Soni, Lokesh
Liv-in vehicle of the future2024-26-023701/16/2024
Liv-in vehicle of the future is a pioneer providing sustainable, highly customizable electric LCV solutions offering automated to autonomous driving, seamless connectivity to customers' ecosystems, peace-of-mind reliability and improved productivity and profitability. For flexibility, versatility, and economies of scale, modularity is essential. With a modular EV design, different vehicle models can share the same platform or components. This can accelerate development and provide manufacturing efficiencies, resulting in significant cost savings. With modular components parts sourcing is more efficient, and inventory management, processing, and storage are simplified. One plant can produce multiple vehicle variants far more easily and efficiently, with less complexity of retooling and physical layout changes. Advantages a) Reduced design and development costs. b) A flexible architecture that can be used for a variety of vehicle types. c) Economies of scale. d) Proven performance from
Dias, Francis Anton, Mane, Sushant
Enhancing Cargo Transportation using Intelligent systems for better Logistics Management2024-26-018301/16/2024
Efficient cargo transportation plays a crucial role in logistics management and supply chain operations. Accurately detecting and utilizing cargo space within vehicles is vital for maximizing transport capacity, minimizing costs, and optimizing resource allocation and time management. This research paper focuses on enhancing cargo utilization using intelligent systems to improve logistics management. The major research is on developing a system that combines computer vision algorithms and intelligent systems to detect and implement a combination of features for efficient use of cargo space within vehicles and monitor cargo to reduce losses. The proposed approach will use and utilize image processing methods to get relevant features and identify cargo areas. Machine learning models, such as convolutional neural networks (CNNs) and object detection frameworks, will be trained and evaluated on a comprehensive dataset of cargo images to identify the most effective approach for cargo space
JAGTAP, Pramod Prakash, Kale, Shreeja, Mahali, Rakesh
Scientific Approach for Pickup Cargo Weight Reduction2024-26-019201/16/2024
Due to increasing competitiveness, the arrival of industry giants, product pricing, etc., the automobile market in India is becoming more dynamic to adopt the changes. Apart from this, the product needs to be competitive to capture market by lowering the benefit margin. After launch and gaining of mass volume of the market, the Value Analysis and Value Engineering (VAVE) helps in minimizing the design and development costs through removal of non-value adding processes and activities by understanding the product's value, functions, features, customer demand, quality, and Real-World Usage Pattern (RWUP) without affecting the performance and eventually help in increasing the profit margin of organization. In this study, the benchmarked based statistical Light Weight Index (LWI) technique is developed for the predicting the world in class optimum weight. For these four statistical Light weight Index numbers is derived based on the geometrical dimensions. This strategy is used for the
Patel, Mayank, Balasubramani, Sritharkumar, Pandurangan, Raman, Cornelio, Ronald, Senrayaperumal, Sakthivel, ved, Kapil, Mohan, Aravind
OPTIMISED DESIGN SOLUTION FOR FLOOR CONSOLE AND SIMILAR COMPONENTS2024-26-032001/16/2024
Traditionally floor console design requires structural part inside the assembly to mount surrounding parts to withstand various load cases and functionality. this leads to heavy assembly weight & greater number of parts in assembly. This will also impact on overall cost of the component as well as assembly cycle time, logistics & maintenance cost. In order to address this issue for any floor console or similar component which requires structural part inside for rigidity we thought of redesigning our parts and use of CPSF injection molded parts without impacting aesthetics. Counter pressure structural foam (CPSF) process allows us to design in more structural and thicker parts while still it gives good class a quality. CPSF process is similar to IM process only, but here along with thermoplastic materials in pelletized form and blowing agent is also added in hopper in proper ratio. Components similar like floor console requires more strengthen parts for holding loads & occupant sitting
Kole, Abhinandan, John, Pramod, pena, Geofrey
The Scope of Autonomous Vehicle Mobility with an Indian Context2024-26-008701/16/2024
The advent of autonomous vehicles promises to revolutionize the transportation sector globally, and India, as one of the world's fastest-growing economies, stands at the forefront of this transformative technology. This abstract presents a brief overview of the current state and potential implications of autonomous vehicles in the Indian context. With its densely populated cities, diverse traffic conditions, and complex road infrastructure, India presents unique challenges and opportunities for the deployment of autonomous vehicles. This technology has the potential to address critical issues such as road safety, congestion, and pollution while transforming the mobility experience for millions of people. However, several hurdles must be overcome to fully harness its benefits. The abstract explores key considerations for the implementation of autonomous vehicles in India. These include adapting the technology to navigate chaotic traffic scenarios, addressing infrastructure limitations
Shetty, Sharan Harish
Coupled FEM-DEM for determination of payload distribution on Tipper load body2024-26-025501/16/2024
Tippers used for transporting blue metal, construction and mining material is designed with different types of load body to suit the material being carried, capacity and its application. Structural strength verification of load body of tipper is conducted using FEM, by modelling forces due to payload as a pressure function on the panels of the load body. Determining the pressure function on panels is a challenge owing to the complexity of modelling large volume of granular payload using conventional FE methods. Hence, typically the spatial variation of pressure is assumed. The Discrete Element Method (DEM) allows the modelling of granular materials such as gravel, wet or dry sand, coal, etc., taking into account its flow and interaction with the structure holding them. DEM has the ability to numerically calculate displacements and rotations of finite particles. Also, automatically perform contact detection for particle assembly. DEM uses a discrete approach that is very well suited for
Sadasivam, Sivasankaran, Loganathan, Ekambaram, Mahalingam, Manikandan
A review and modelling of PMSM drive technology for Electric vehicle application2024-26-012701/16/2024
The increased pollution and environmental damage caused by rapid consumption of fossil fuel as the increased number of vehicles on road given a strong impetus to the growth and development of fuel-efficient vehicles. INDIA has already adopted the stringent CAFÉ II norms in 2022 which penalizes the CO2 levels above the corporate average target. This will give a push to automotive manufacturer to reduce their carbon footprint. Considering all the above-mentioned factors, Electric Vehicles are proving to be a promising solution to curb the Carbon footprint and limit the dependence on the fossil fuel which will dampen the effect of increased fuel prices on customers as well. The main advantage to EVs is that the motor and battery configuration allows the vehicle to operate more efficiently. The main components of Electric vehicles are HV battery, E-Drive (Motor), Inverter, On board charger, Power distribution Unit. The performance of EVs greatly depends on these components and its
Sharma, Prashant, V, Suryanarayanan, Redii, Ashok, Raut, Sandip, Hareesh, Sangaraju
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