Browse Topic: Traffic management

Items (163)
Find
Integrating V2V and V2I Communications for Enhanced Traffic Safety and Efficiency in Connected Vehicular Networks2026-26-0271To be published on 01/16/2026
This paper presents a new approach to improve road safety and traffic flow by combining vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. Our study focuses on a system that connects vehicles with each other and with traffic signals to share real-time data about speed, position, and road conditions. Using both analytical models and experimental simulations built in MATLAB/Simulink, we developed a system that predicts and advises the optimal speed for vehicles approaching an intersection. In our design, a Green Light Optimized Speed Advisory (GLOSA) feature suggests an ideal speed for drivers so that they can pass through green lights without unnecessary stopping. This not only improves traffic flow but also reduces fuel consumption and lowers the risk of accidents. We validated our system through a series of simulations and real-time traffic scenarios. The results show that our approach can adapt dynamically to changes in vehicle behavior and traffic density
PINTO, COLIN AUBREY, Shah, Ravindra, Karle, Ujjwala
GTSRB-Shield: A Novel Machine Learning Framework for Intrusion Detection in Autonomous Vehicles Leveraging the German Traffic Sign Recognition Benchmark2026-26-0611To be published on 01/16/2026
The escalating dependence of Autonomous Vehicles on Intelligent Transportation Systems (ITS) has highlighted the imperative for comprehensive security protocols to safeguard such vehicles against cyber threats. Intrusion Detection Systems (IDS’s) are pivotal in ensuring the protection of these systems by detecting and alleviating unauthorized access and nefarious activities. The German Traffic Sign Recognition Benchmark (GTSRB) database, which encompasses an extensive compilation of traffic sign imagery, functions as a vital asset for the advancement of machine learning-based IDS. This research elucidates an intrusion detection system (IDS) that employs machine learning algorithms to scrutinize the GTSRB database. The proposed IDS emphasize the preprocessing of the GTSRB dataset to extricate pertinent features that can be employed for the training of machine learning models. Research also focuses on model development with machine learning algorithms to classify traffic signs and
Patil, Kamalesh, Akbar Badusha, A., Jadhav, Savitri, Gunale, Kishanprasad
Intelligent Transportation Systems in India: Current Trends, Infrastructure Development, and Future Prospects2026-26-0272To be published on 01/16/2026
Intelligent Transportation Systems (ITS) play a transformative role in enhancing the efficiency, safety, and sustainability of India’s transportation networks. As urbanization and vehicle ownership continue to grow, Indian cities face increasing demands on their infrastructure, resulting in challenges such as traffic congestion, pollution, and travel delays. ITS leverages advanced technologies-including real-time data analytics, communication networks, and automation-to optimize traffic management, improve public transport services, and provide timely information to commuters. In the Indian context, ITS applications such as electronic toll collection, adaptive traffic signals, smart parking solutions, and incident management systems have begun to demonstrate positive impacts on mobility and road safety. Government initiatives and policy frameworks are actively promoting the integration of ITS with ongoing infrastructure development projects, fostering innovation and encouraging
Bhat, Goutam, Bai N, Niha, Kumar, Vikas, Patil, Vishnureddy
testing revisions on best practiceCUR1513-jms105/23/2025
revisions
AESQ Steering Group
SAE TOMORROW TODAY - Scalable AV Deployment Starts with Fewer Close Calls1351305/01/2025
The hallmark of exceptional autonomous driving technology isn't just how it reacts in a crisis but how it avoids one altogether. That's the vision behind May Mobility: a world where self-driving cars confidently navigate busy intersections, unexpected detours, and pedestrian-filled crosswalks with the instincts of a seasoned human driver. At the core of May Mobility's technology platform is its patented Multi-Policy Decision Making (MPDM) system. This breakthrough technology uses real-time, in-situ AI to interpret data, continuously learning and adapting to new, complex, and unpredictable driving conditions. By learning on the fly--much like a human driver--May Mobility's AVs can be deployed faster and more cost-effectively than traditional systems. To explore how May Mobility is scaling its AV technology, we spoke with Ed Olson, CEO and Founder, about the company's city-wide AV deployments, strategic partnerships with Toyota and NTT, and its entrance into the rideshare market through
Hineman, Marcie
bp w revbestPractice204/08/2025
sfg
JMS BP initial productjms_bp_1-dup104/01/2025
JMS BP initial product
AESQ Steering Group
JMS BP initial productjms_bp_104/01/2025
JMS BP initial product
AESQ Steering Group
TitlebestPractice103/31/2025
Scope
automation test jms - titleSAE-PP-0946501/31/2025
automation test jms - abstact
Rickard, Christopher
testing author affiliationsSAE-PP-0945801/10/2025
test
SintzADMIn, Jeneane, Gatts, Joshua, GattsCurator, Josh, GattsCurator2, Josh, GattsCurator2, Josh
testing exclusion rulesSAE-PP-0945111/05/2024
testing
SintzADMIn, Jeneane
Cyber Threats and its Mitigation to Intelligent Transportation System2024-26-018401/16/2024
With the revolutionary advancements in modern transportation, offering advanced connectivity, automation, and data-driven decision-making has put the intelligent transportation systems (ITS) to a high risk from being exposed to cyber threats. Development of modern transportation infrastructure, connected vehicle technology and its dependency over the cloud with an aim to enhance safety, efficiency, reliability and sustainability of ITS comes with a lot more opportunities to protect the system from black hats. This abstract explores the landscape of cyber threats targeting Intelligent Transportation Systems, focusing on their potential impacts, vulnerabilities, and mitigation strategies. The cyber-attacks in ITS are not just limited to Unauthorized Access, Malware and Ransomware Attacks, Data Breaches, Denial of Service but also to Physical Infrastructure Attacks. These attacks may result in potentially disrupting critical transportation infrastructure, compromise user safety, and can
Dewangan, Kheelesh Kumar, Panda, Vibek, Ojha, Sunil, Shahapure, Anjali, Jahagirdar, Shweta Rajesh
A smart transportation system for existing vehicles and roads infrastructure to ease traffic and toll problems in India2024-26-018101/16/2024
India is a highly populous country. The traffic problems faced by the people here are not uncommon. The increase in traffic leads to increase in accidents, pollution, inconvenience and frustration. It also comes with costs of additional fuel and time. Though public transport is extensively available in India, still it isn't sufficient for the population of India. Especially in Metro cities, public transport services are often crowded. So, to travel peacefully people are opting for commuting in their own vehicles. And as a result, more vehicles are coming on roads. Other major reasons for increasing traffic are lack of proper implementation of traffic rules and traffic signals out of sync. In addition to city traffic, congestion is also seen on highways, mainly at toll plazas. Although implementation of FASTag has reduced it to some extent, some toll plazas still face traffic congestion issues. This paper provides an idea to ease the traffic problems in the city and on the highways too
Jain, Pritesh
EDITORIAL: Platooning still promising for trucking22TOFHP08_0408/01/2022
There is “no business case” for platooning, or the electronic coupling of two or more trucks in close formation. That was the assessment of Daimler Trucks in 2019 when it decided to pause its years-long platooning development activities. The OEM determined that for U.S. long-distance applications, where conditions were expected to be ideal, the fuel savings were less than stellar and diminished further when the platoon got “disconnected” and trucks had to accelerate to reconnect. Instead, the company turned its full attention to developing highly automated (SAE Level 4) trucks. The fate of Peloton Technology, a company all-in on platooning but that ceased operations in 2021, is another indicator that perhaps platooning's promise has faded.
Gehm, Ryan
Road Crossing Assistance Method Using Object Detection Based on Deep Learning 2022-01-016903/29/2022
This paper describes a method for assisting pedestrians to cross a road. As motorization develops, pedestrian protection techniques are becoming more and more important. Advanced driving assistance systems (ADAS) are improving rapidly to provide even greater safety. However, since the accident risk of pedestrians remains high, the development of an advanced walking assistance system for pedestrian protection may be an effective means of reducing pedestrian accidents. Crossing a road is one of the highest risk events, and is a complex phenomenon that consists of many dynamically changing elements such as vehicles, traffic signals, bicycles, and the like. A road crossing assistance system requires three items: real-time situational recognition, a robust decision-making function, and reliable information transmission. Edge devices equipped with autonomous systems are one means of achieving these requirements. Situational recognition when crossing a road must identify the pedestrian
Kawamura, Hiroaki, Shintani, Kohei, Mima, Hiroki, Taniguchi, Mashio
Anticipation-Based Autonomous Platoon Control Strategy with Minimum Parameter Learning Adaptive Radial Basis Function Neural Network (MPL-ARBF-NN) Sliding Mode Control 2022-01-034803/29/2022
Human-driver is stochastic in nature and usually difficult to predict. In car following scene, where an autonomous vehicle platoon follows a human-driven vehicle having a complex acceleration behavior therefore needs greater attention for smooth traffic flow. To guarantee a string stable platoon operation, an efficient vehicle controller must be developed for fast convergence, adaptation simplicity, ease of design and real-time performance. The research proposed an adaptive fuzzy system-based compound variable exponential power reaching law (CVEPRL) sliding mode control in a backstepping design framework. The fuzzy system employs an efficient adaptation to minimize computational burden in real-time operation of the platoon. The ease of controller development arise from the backstepping control design and robustness of the controller can be inherited from sliding mode control (SMC). The autonomous vehicle can be modeled as a third order nonlinear plant with a varying disturbance term
Negash, Natnael M., Yang, James
Mobility Energy Productivity Evaluation of Prediction-based Vehicle Powertrain Control Combined with Optimal Traffic Management2022-01-016103/29/2022
Transportation system efficiency can be defined in two ways: 1) reduction of travel times across all the vehicles in the system, and 2) reduction in total energy consumed by all the vehicles in the system. The levers to realize these efficiencies are treated as independent (i.e., vehicle and network domains), and have not been studied jointly to date. This research aims to integrate previously developed and published research on Predictive Optimal Energy Management Strategies (POEMS) and Intelligent Traffic Systems (ITS), to address the need for quantifying improvement in system efficiency resulting from a simultaneous vehicle and network optimization. POEMS and ITS are partially independent methods that do not require each other to function but whose individual effectiveness may be affected by the presence of the other. In order to evaluate the simultaneous optimizations holistically, the Mobility Energy Productivity (MEP) metric which measures the connectedness of a system while
Motallebiaraghi, Farhang, Yao, Kaisen, Rabinowitz, Aaron, Hoehne, christopher, garikapati, Venu, Holden, Jacob, Wood, Eric, Chen, Suren, Bradley, Thomas, Asher, Zachary
An Investigation of Aerodynamic Characteristics of Three Bluff Bodies in Close Longitudinal Proximity – Part 3: Influence on Lift2022-01-107103/29/2022
The aerodynamic effects of bodies in close proximity continues to be an interest for those involved in aeronautical, automotive and civil engineering together with those involved in sports such as cycling, motor racing and sailing. For passenger cars, research in the USA published in the 1980s had considered travelling in close proximity, termed “platooning”, as a means for reducing congestion. But the aerodynamic drag reduction and fuel-savings found in associated wind tunnel tests and road-trials became the focus of further investigations. Although practical applications were not originally pursued, the recent development of control systems for connected and autonomous vehicles has provided the opportunity for platooning to be considered again within future traffic management systems. Thus while the focus of automotive work to date has been the potential for the reduction in total aerodynamic drag, the associated changes in aerodynamic lift which might influence the characteristics
Le Good, Geoffrey, Self, Matthew, Boardman, Peter, Resnick, Max, Cirstea, Remus
Heterogeneous Traffic Management using METANET Model with Filtered Feedback Linearization Control Approach 2022-01-009203/29/2022
This paper presents a Filtered-Feedback-Linearization (FFL) controller for a non-signalized heterogeneous traffic network consisting of human-driven and autonomous vehicles at a macroscopic level. The FFL controller requires limited model information and it is effective for command following and rejection of unknown-and-unmeasured disturbances. This paper distinguishes between human-driven and autonomous vehicles in terms of their operational characteristics and controllability. To describe the traffic network's behavior, we introduce an extended heterogeneous METANET model wherein the traffic flow, density, and velocity dynamics of each vehicle class are described. To develop traffic control policies, we propose a filtered-feedback-linearization control approach wherein the autonomous vehicles are modeled as controllable agents and human-driven vehicles are modeled as non-controllable but rational agents. FFL controller sends the optimal suggested velocity of autonomous vehicles as
Karimi Shahri, Pouria, Ghasemi, Amir H.
Multi trucks platooning fuel economy test results with cooperative adaptive cruise control under real-world driving conditions2022-01-050103/29/2022
The application of cooperative adaptive cruise control (CACC) to heavy-duty trucks known as truck platooning has shown fuel economy improvements over test track ideal driving conditions. However, there are limited test data available to assess the performance of CACC under real-world driving conditions for 3 trucks automation. As part of a U.S. Department of Energy Funding Opportunity Announcement award project, 3 trucks platooning with CACC has been tested under real-world driving conditions and the results are presented in this paper. On-highway testing is done on a route in Indiana representing the operation of long-haul Class 8 trucks in the United States. The road includes low, medium and high grade segments. The impact of road grade variation and traffic on truck platooning is analyzed and some of the issues with this technology are identified for further research and improvements.
Borhan, Hoseinali, Brady, Nathan, YU, Chia-Siung, Fuhs, Karla, Adi, Gayatri, Pattel, Bibin, Lammert, Michael
New Metrics for Quantifying the Energy Efficiency of Platoons in the Presence of Disturbances2022-01-064503/29/2022
Due to aerodynamic drag reduction, vehicles have shown significant fuel savings while platooning in close succession. However, when circumstances force active deceleration to maintain the platoon, such as vehicle cut-ins or grade changes, the aerodynamic efficiency benefits may be undermined. In this work, the influence of active deceleration on platooning dynamics is investigated using over 400 hours of experimental data from PID-controlled and NMPC-controlled vehicle platoons. The test vehicles are Class 8 line-haul tractors with dry vans and various powertrain configurations. Using J1939 CAN data and GPS-estimated grade profiles, off-throttle data is isolated and longitudinal acceleration is estimated as a function of grade using Kalman filtering. Efficiency losses are analyzed as a function of active deceleration and analyzed to describe the effects of grade and cut-ins on platooning fuel economy. Finally, new metrics are proposed to analyze the efficiency of platoons that
Stegner, Evan, Snitzer, Philip, Bevly, David M., Hoffman, Mark
A modular approach to vehicle management in a platoon group2021-26-012509/22/2021
Vehicle platooning is a key research area where increased focus and interest is shown to maximize the transport efficiency of road vehicles. Although the key benefits are projected as increased fuel efficiency especially when it comes to commercial vehicles, allied benefits such as convoy pack efficiency, traffic throughput rate, increased life cycle of components and a source of monetary benefit when using a subscription model are areas which need to be explored. Existing literature points to control strategies predominantly focused on longitudinal control and traffic management in bottlenecks. Estimating that the application of platooning concepts will penetrate across commercial vehicle segments as well as passenger vehicles leads to the logical need for a modular control approach for aspects such as realizing the influence of convoy speed on the selection of vehicle position, the relative position of vehicles, convoy dynamics based on weak link approach and also sharing monetary
Muravaneni, Sai Venkatesh, Nahar, Amit Babalal, Vishwakarma, Pratima
Experimental Fuel Consumption Results from a Heterogeneous Four-Truck Platoon2021-01-007104/06/2021
Platooning has the potential to reduce greenhouse gas emissions of heavy-duty vehicles. Prior platooning studies have chiefly focused on the fuel economy characteristics of two- and three-truck platoons, and most have investigated aerodynamically homogeneous platoons with trucks of the same trim. For real world application and accurate return on investment for potential adopters, non-uniform platoons and the impacts of grade and disturbances on a platoon’s fuel economy must also be characterized. This study investigates the fuel economy of a heterogeneous four-truck platoon on a closed test track. Tests were run for one hour at a speed of 45 mph. The trucks used for this study are two 2015 Peterbilt 579’s with a Cummins ISX15 and a Paccar MX-13, and two 2009 Freightliner M915A5’s, one armored and the other unarmored. Many analysis methodologies were leveraged to describe and compare the fuel data, including lap-wise and track-segment analysis. The methodology for dividing the data into
Stegner, Evan, Ward, Jacob, Siefert, Jan, Hoffman, Mark, Bevly, David M.
Arrangement and Control Method of Cooperative Vehicle Platoon2021-01-011304/06/2021
With the development of cellular communication technology and for the sake of reducing drag resistance, the multi-lane platoon technology will be more prosperous in the future. In this article, the cooperative vehicle platoon method on the public road is represented. The method’s architecture is mainly composed of the following parts: decision-making, path planning and control command generation. The decision-making uses the finite state machine to make decision and judgment on the cooperative lane change of vehicles, and starts to execute the lane change step when the lane change requirements are met. In terms of path planning, with the goal of ensuring comfort, the continuity of the vehicle state and no collision between vehicles, a fifth-order polynomial is used to fit every vehicle trajectory. In terms of control command generation module, a model predictive control algorithm is used to solve the multi-vehicle centralized optimization control problem. We use the two DOF vehicle
Chen, Guosheng, Wu, Jian, Li, Shuai, Zhang, Jinghua, Du, Zhiqiang, Wang, Guojun, Chen, Zhicheng
SAE TOMORROW TODAY: Constant Innovation in Aviation1290108/07/2020
As the innovation center for Airbus, Acubed is bringing the Silicon Valley approach to advancement to the aerospace industry. Mark Cousin, CEO of Acubed, joins host Grayson Brulte for an in-depth conversation on the aviation innovations that Acubed is working on to improve efficiency and safety. Mark shares with us the important developments that Acubed and Airbus have made over the past 10-15 years to help the organization achieve year-over-year efficiencies; how Acubed has evolved over the past five years to become a more targeted innovation center; and some of the specific innovations, including Fly by Wire, Project Wayfinder and ATOL, that demonstrate the importance of machine learning and AI to enable autonomy that will improve safety of commercial aviation, reduce costs and address the pilot shortage. He also gives a sneak peek at some of the current and future projects in the works at Acubed that will advance Airbus' vision for innovation, including unmanned traffic management
Hineman, Marcie
New EU Patent System Could Unify and Simplify Process20AVEP05_0805/01/2020
Europe's new unitary patent system and a flurry of AV legislation could be a boon to innovators. To engineers who are developing autonomous vehicle (AV) technologies, the legal landscape around innovation can look increasingly complex. And the patent path may seem daunting. But advances to simplify the process are on the way, beginning with the introduction of a European unitary patent system that “promises to considerably simplify the current patent system,” says Stuart Latham, partner and patent attorney at Withers & Rogers, one of Europe's largest firms specializing in intellectual property. Under the new system, businesses will be able to apply for a single unitary patent spanning all EU member states that opt to introduce the new system without the need to validate the patent at jurisdictional level. Latham said this “could provide a cost-effective way to secure commercial protection across the EU, allowing time for markets and regulatory environments to continue to evolve.”
Birch, Stuart
Hardware-in-the-Loop, Traffic-in-the-Loop and Software-in-the-Loop Autonomous Vehicle Simulation for Mobility Studies2020-01-070404/14/2020
This paper focuses on finding and analyzing the relevant parameters affecting traffic flow when autonomous vehicles are introduced for ride hailing applications and autonomous shuttles are introduced for circulator applications in geo-fenced urban areas. For this purpose, different scenarios have been created in traffic simulation software that model the different levels of autonomy, traffic density, routes, and other traffic elements. Similarly, software that specializes in vehicle dynamics, physical limitations, and vehicle control has been used to closely simulate realistic autonomous vehicle behavior under such scenarios. Different simulation tools for realistic autonomous vehicle simulation and traffic simulation have been merged together in this paper, creating a realistic simulator with Hardware-in-the-Loop (HiL), Traffic-in-the-Loop (TiL), and Software in-the-Loop (SiL) simulation capabilities. Our work merges the traffic simulation software Vissim to create realistic traffic
Meneses Cime, Karina, Cantas, Mustafa Ridvan, Dowd, Garrett, Guvenc, Levent, Aksun Guvenc, Bilin, Mittal, Archak, Joshi, Adit, Fishelson, James
The Effects of Varying Penetration Rates of L4-L5 Autonomous Vehicles on Fuel Efficiency and Mobility of Traffic Networks2020-01-013704/14/2020
With the current drive of automotive and technology companies towards producing vehicles with higher levels of autonomy, it is inevitable that there will be an increasing number of SAE level L4-L5 autonomous vehicles (AVs) on roadways in the near future. Microscopic traffic simulators that simulate realistic traffic flow are crucial in studying, understanding and evaluating the fuel usage and mobility effects of having a higher number of autonomous vehicles (AVs) in traffic under realistic mixed traffic conditions including both autonomous and non-autonomous vehicles. In this paper, L4-L5 AVs with varying penetration rates in total traffic flow were simulated using the microscopic traffic simulator Vissim on urban, mixed and freeway roadways. The roadways used in these simulations were replicas of real roadways in and around Columbus, Ohio, including an AV shuttle routes in operation. The road-specific information regarding each roadway, such as the number of traffic lights and
Kavas-Torris, Ozgenur, Cantas, Mustafa Ridvan, Meneses Cime, Karina, Aksun Guvenc, Bilin, Guvenc, Levent
Cooperative Estimation of Road Grade Based on Multidata Fusion for Vehicle Platoon with Optimal Energy Consumption2020-01-058604/14/2020
The platooning of connected automated vehicles (CAV) possesses the significant potential of reducing energy consumption in the Intelligent Transportation System (ITS). Moreover, with the rapid development of eco-driving technology, vehicle platooning can further enhance the fuel efficiency by optimizing the efficiency of the powertrain. Since road grade is a main factor that affects the energy consumption of a vehicle, the estimation of the road grade with high accuracy is the key factor for a connected vehicle platoon to optimize energy consumption using vehicle-to-vehicle (V2V) communication. Commonly, the road grade is quantified by single consumer grade global positioning system (GPS) with the geodetic height data which is rough and in the meter-level, increasing the difficulty of precisely estimating the road grade. This paper presents a novel estimation method called Cooperative Extended Kalman Filter (CEKF) to obtain the accurate information of slopes by multidata fusion of GPS
Ma, Fangwu, Yang, Yu, Wang, Jiawei, Zhao, Yang, Shen, Yucheng, Wu, Guanpu, Aksun Guvenc, Bilin, Guvenc, Levent
The Design of Safe-Reliable-Optimal Performance for Automated Driving Systems on Multiple Lanes with Merging Features2020-01-012204/14/2020
Safety function for automated driving systems including advanced driver assistance systems and autonomous vehicle systems is very important. Inside safety function, predictive judge sub-function should be designed with the consideration of more and more penetration of automated driving vehicles. This paper presents the design on multiple lanes with merging features based on the author's previous Patent JP2019-147944 using predictive time-head-way and time-to-collision maps. In the author's previous work (Model Predictive Control for Hybrid Electric Vehicle Platooning Using Slope Information-Published on IEEE Transactions on Intelligent Transportation Systems), a model predictive control framework was designed. Due to the difficulty to detail the sub-safety function deeply with merging features, few works are found to deal with sensor platforms focusing on rear side, and situations of merging lane side with the consideration of relative relation variations with other vehicles and road
Yu, Kaijiang
An Image Recognition Application Method for Vertical Movement of Vehicles2020-01-073304/14/2020
In ITS, image processing technology is applied to a wide variety of areas such as visual-based intelligent vehicle navigation, visual-based traffic monitoring and visual-based traffic management. In the recognition system of the vehicle body characteristics, most of the recognition is the license plate and the car emblem, etc. This paper proposes an image recognition application method for the vertical motion of the car while driving, mainly including vertical height detection and vertical displacement velocity acceleration recognition. The edge detection model of the image object is established by using the gray image to obtain the car motion segmentation image. At the same time, an image length and actual length coordinate conversion model is established, which can calculate an arbitrary actual length of the image object. In this paper, Yuejin Shangjun X500 van was selected as the test vehicle, and the video data was captured with a camera. In the static recognition test, the error
Li, Ming, Tan, Gangfeng, Wang, Zhenyu, Wang, Haoyu, Jiang, Yifeng, Guo, Donghua, Feng, Jiaming
LiDAR-Based Urban Autonomous Platooning Simulation2020-01-071704/14/2020
The technological advancements of Advanced Driver Assistance Systems (ADAS) sensors enable the ability to; achieve autonomous vehicle platooning, increase the capacity of road lanes, and reduce traffic. This article focuses on developing urban autonomous platooning using LiDAR and GPS/IMU sensors in a simulation environment. Gazebo simulation is utilized to simulate the sensors, vehicles, and testing environment. Two vehicles are used in this study; a Lead vehicle that follows a preplanned trajectory, while the remaining vehicle (Follower) uses the LiDAR object detection and tracking information to mimic the Lead vehicle. The LiDAR object detection is handled in multiple stages: point cloud frame transformation, filtering and down-sampling, ground segmentation, and clustering. The tracking algorithm uses the clustering information to provide position and velocity of the Lead vehicle which allows for vehicle platooning. This paper covers the LiDAR object detection and tracking
Alzu'bi, Hamzeh, Tasky, Tom
What If the Speed Had Been Less? Causation in Time Limited and Distance Limited Hazards2020-01-088104/14/2020
With a path intrusion incident, it is almost always the case that the collision would have been avoided if the pedestrian had not run out, or if the vehicle on the minor road had stopped, or so on. However should the other party be thought to have been travelling at an excessive speed, often the reconstructionist is asked to make a calculation of what whether the collision would, at some alternative speed say equal to the speed limit, still have occurred. In that way causation is addressed. The paper distinguishes between those hazards which are distance limited and those which are time limited, giving definitions of the two types. Distance limited hazards are deterministic, but time limited hazards have a probabilistic basis. This difference has important implications for causation. For a hazard at a fixed distance, there is a well known formula for calculating whether the collision would have been avoided at a slower alternative speed. However a time limited hazard often has no clear
Searle, John
VIRTUAL METHOD FOR ELECTRONIC STOP-START SIMULATION & VDV PREDICTION USING MODIFIED DISCRETE SIGNAL PROCESSING FOR SHORT TIME SIGNALS2020-01-127004/14/2020
Electronic Stop-Start (ESS) system automatically stops and restarts the engine to save energy, improve fuel consumption and reduce emissions when the vehicle is stationary during traffic lights, traffic jams etc. The start and stop events cause unwanted vibrations at the seat track which induce discomfort to the drivers and passengers in the vehicle. These events are very short duration events, usually taking less than a second. Time domain analysis can help in simulating this event but it is difficult to see modal interactions and root cause issues. Modal transient analysis also poses a limitation on defining frequency dependent stiffness and damping for multiple mounts. This leads to inaccuracy in capturing mount behavior at different frequencies. Most efficient way to simulate this event would be by frequency response analysis using modal superposition method. In order to do the same there is a major hurdle which is due to the nature of the signal being highly transient and of short
Paul, Abhishek, Kukreja, Jaspreet, Haider, Syed, Spadola, Joe
Mapping Canada - Centimeter by Centimeter19AVEP11_0511/01/2019
A Montreal-based company leverages artificial intelligence to take on the task of developing high-definition maps of Canada. Fully-automated vehicles will only be as smart as the datasets they use to determine their driving pathways. Jakarto Cartographie 3D, a young company based in Montreal, Canada, is working on artificial-intelligence (AI)-powered, high-definition (HD) maps that it claims offer 2-3 cm (.787- to 1.2-inch) absolute precision and relative precision measured in millimeters. In other words, better maps that will allow for better automated vehicles (AVs). Started two years ago, Jakarto currently has three Nissan NV200 mapping vans equipped with a data collection unit that contains five cameras, a GPS unit and two ZF-supplied lidar sensors that each generate one million points per second. Jakarto calls the resulting maps RoadSkeleton, claiming they'll be beneficial for smart cities and AVs.
Blanco, Sebastian
RDS Phrase ListsJ2540/1_201906 (Current)06/11/2019
This SAE Standard provides a table of textual messages meeting the requirements for expressing “Radio Data Systems” (RDS) phrases commonly used in the ITS industry. They can be used both over the RDS subcarrier transmission media as part of a 37-bit long “Group 8a message” as well as being used to provide a common content list of phrases used in a wide number of other media and applications. This document SHALL define the normative index values to be used, extending the CEN established list to provide phrases needed by US practitioners. This standard provides non-normative textual phrases which MAY be used by implementers to ensure intelligible results. This document SHALL follow the formats and rules established in SAE J2540 in the expressions, manipulations, and use of such tables. It should be pointed out that within the rules established by this document a variety of final table are all considered “compliant” with the document, and may vary as fits the needs of implementers.
V2X Core Technical Committee
Messages for Handling Strings and Look-up Tables in ATIS StandardsJ2540_201906 (Current)06/11/2019
This SAE Standard defines methods and messages to efficiently translate sequences of text and other types of data into and out of indexed values and look-up tables for effective transmission. This document defines: a Methods and Data Elements for handling indexes and strings in ATIS applications and message sets b Message Sets to support the delivery and translations of tables used in such strings c Tables of Nationally standardized strings for use in ATIS message descriptions And examples of each in illustrative portions. While developed for ATIS use, the methods defined in this document are useful for any textual strings in any Telematics applications found both in Intelligent Vehicles and elsewhere.
V2X Core Technical Committee
Developing Knowledge and Understanding for Autonomous Systems for Analysis and Assessment Events and CampaignsTBMG-3433405/01/2019
There are many challenges in developing complete performance ontologies and test methodologies to define and evaluate the performance of autonomous systems. Chief among them is the dynamic environment in which the autonomous system is expected to operate. Change in the autonomous system’s environment is expected to affect system performance. Test methodologies have to include all aspects of this dynamic environment.
Behavior of Electric Scooter Operators in Naturalistic Environments2019-01-100704/02/2019
The use of electric scooters (e-scooters), which are more generally categorized as motorized scooters, has undergone explosive growth owing to “scooter share” programs in which an e-scooter is rented for a limited period of time. The near-spontaneous ubiquity of e-scooters has prompted government and scooter share companies to address issues partly motivated by concerns related to the inclusion of a large population of e-scooters into vehicular traffic. These issues are influenced by the decisions and behaviors of the scooter operators, who, despite being licensed to drive passenger vehicles, potentially have limited experience operating an e-scooter in the presence of traffic. E-scooters are in a relative unique position where they are small enough to negotiate pedestrian traffic, yet fast enough to travel on roadways. This enables an e-scooter operator to change when and where he rides, e.g., from traveling on a sidewalk to riding in a clear traffic lane in order to avoid a group of
Todd, Jay, Krauss, David, Zimmermann, Jacqueline, Dunning, Amber
An Investigation of Aerodynamic Characteristics of Three Bluff Bodies in Close Longitudinal Proximity2019-01-065904/02/2019
The potential benefit for passenger cars when travelling in a ‘platoon’ formation results from the total aerodynamic drag reduction which may result from the interaction of bluff bodies in close-proximity. In the 1980s this was considered as an opportunity to alleviate congestion and also for fuel-saving in response to the oil crises of the 1970s. Early interest was limited by the availability of suitable systems to control vehicle spacing. However, recent developments in communication and control technologies intended for connected and autonomous driving applications has provided the potential for ‘platooning’ to be incorporated within future traffic management systems. The study described in this paper uses a systematic approach to changes in vehicle shape in order to identify the sensitivity of the benefits of platooning to vehicle style. The Windsor bluff-body model with its’ interchangeable rear-end geometry was chosen as the test subject because of its similarity to the
Le Good, Geoffrey, Boardman, Peter, Resnick, Max, Clough, Brian
Evaluating Trajectory Privacy in Autonomous Vehicular Communications2019-01-048704/02/2019
Autonomous vehicles might one day be able to implement privacy preserving driving patterns which humans may find too difficult to implement. In order to measure the difference between location privacy achieved by humans versus location privacy achieved by autonomous vehicles, this paper measures privacy as trajectory anonymity, as opposed to single location privacy or continuous privacy. This paper evaluates how trajectory privacy for randomized driving patterns could be twice as effective for autonomous vehicles using diverted paths compared to Google Map API generated shortest paths. The result shows vehicles mobility patterns could impact trajectory and location privacy. Moreover, the results show that the proposed metric outperforms both K-anonymity and KDT-anonymity.
Banihani, Abdelnasser, Zaiter, Abdulrahman, Corser, George P., Fu, Huirong, Alzahrani, Abdulrahman
Examples of Indicating Occupied Spacetime in Traffic Simulation Results2019-01-140303/25/2019
Traffic simulations could be beneficial to evaluate systems aiming to improve traffic safety and/or throughput. Possibly the simulation may include rather larger number of vehicles. Especially in the junctions, on a two dimensional Cartesian space, trajectory plots are likely to have intersections with each other. However, the intersections do not necessarily mean collisions; hence, evaluation may require animating the result over a period of time, possibly repetitively. This work aims to add time as one more axis to the plot and indicate space that each road user (a vehicle, a pedestrian, or a personal transporter user) occupies at a given time as a rectangle. In addition, this work would connect vertices of the rectangles of the same road user over time. The resultant plot of the trajectory of one particular road user would be similar to a duct or tube; if a particular road user maintains straight forward trajectory with a non-zero constant speed, it would look like a straight tube
Lee, Kangwon
Prediction of Weather Impacts on Airport Arrival Meter Fix Capacity2019-01-135003/19/2019
This paper introduces a data driven model for predicting airport arrival capacity with 2-8 hour look-ahead forecast data. The model is suitable for air traffic flow management by explicitly investigating the impact of convective weather on airport arrival meter fix throughput. Estimation of the arrival airport capacity under arrival meter fix flow constraints due to severe weather is an important part of Air Traffic Management (ATM). Airport arrival capacity can be reduced if one or more airport arrival meter fixes are partially or completely blocked by convective weather. When the predicted airport arrival demands exceed the predicted available airport’s arrival capacity for a sustained period, Ground Delay Program (GDP) operations will be triggered by ATM system. Severe imbalances between demand and capacity occur most frequently when the airport capacity is severely degraded due to either bad airport terminal surface weather or inclement convective weather around airport arrival
Wang, Yao
Modeling the Road Ahead for AVs19AVEP03_1203/01/2019
Detailed virtual environments are vital to developing, testing and validating autonomous systems. The next million miles of autonomous-vehicle test roadways are about to deploy from a start-up company's virtual-world toolbox. “For each mile of real-world autonomous-vehicle testing, developers will test hundreds of thousands of simulated driving miles,” declared Alex Goldberg, CTO of VectorZero, a Carlsbad, California, start-up company whose RoadRunner software product debuted in July 2018. The next release is nearing deployment.
Buchholz, Kami
Still Unsettled on Vehicle Connectivity Standard19AVEP03_1003/01/2019
As data and data-sharing become more crucial to the transportation evolution, the auto sector has yet to gain consensus on the best connectivity format. As autonomous vehicles inch closer to reality, a diverse range of companies and public entities are exploring ways to maximize their positive impact on traffic flows and congestion. Communication at all levels, both between vehicles and between public and private interest groups, will be an important element for improving efficiency.
Costlow, Terry
Road Tested19AVEP03_1103/01/2019
Transportation-infrastructure expert Kirk Steudle reflects on the rapid progress toward the connected-AV future and the challenges ahead. In the auto industry, mechanical and electrical engineers work from the tire up. Civil engineers work from the tire down,” quips Kirk Steudle. “And although it's taken a while for both to understand each other's jargon, the connected-and-autonomous vehicle is forcing them all together-to solve problems for society's mobility.” Steudle, a registered professional engineer, has been at the vehicle-to-road nexus his entire career. Last October he retired as director of the Michigan Dept. of Transportation where, among many achievements, his leadership helped put the state and its core industry in the vanguard of connected-car and AV-related developments, testing, and infrastructure standards. During his final year at MDoT, he also served as interim CEO of the American Center for Mobility, the new 500-acre AV proving ground and test center near Ann Arbor.
Brooke, Lindsay
A Real-Time Traffic Light Detection Algorithm Based on Adaptive Edge Information2018-01-162008/07/2018
Traffic light detection has great significant for unmanned vehicle and driver assistance system. Meanwhile many detection algorithms have been proposed in recent years. However, traffic light detection still cannot achieve a desirable result under complicated illumination, bad weather condition and complex road environment. Besides, it is difficult to detect multi-scale traffic lights by embedded devices simultaneously, especially the tiny ones. To solve these problems, this paper presents a robust vision-based method to detect traffic light, the method contains main two stages: the region proposal stage and the traffic light recognition stage. On region proposal stage, we utilize lane detection to remove partial background from the original image. Then, we apply adaptive canny edge detection to highlight region proposal in Cr color channel, where red or green color proposals can be separated easily. Finally, extract the enlarged traffic light RoI (Region of Interest) to classify. On
Yu, Guizhen, Lei, Ao, Li, Honggang, Wang, Yunpeng, Wang, Zhangyu, Hu, Chaowei
Intelligent Traffic Control Method for Emergency Vehicles Prioritization Based on DSRC Transportation System2018-01-164408/07/2018
Emergency Vehicles (EmVs) prioritization is critical to be studied in view of the effectiveness of emergency delivery. Adaptive traffic lights can be employed based on DSRC (Dedicated Short Range Communication) system, as vehicle status and traffic lights information can be delivered to Road Side Unit (RSU). In other research work of manipulating traffic lights, only the EmVs are considered. Therefore there are still risks for non-EmVs due to insufficient time of braking. This paper provides an adaptive traffic light control method which takes into account of EmVs and non-EmVs on all the directions of lanes at the road section. In this control method, three operation modes of traffic light are proposed and the traffic light can be converted among three operation modes: Normal mode, Warning mode and Priority mode. Moreover, a collision prediction of upcoming non-EmVs on the orthogonal lane of EmVs in the junction is performed, which results in non-EmVs protection within predefined
Guo, Peng, Wang, Mengdan, Rong, Hui, Wang, Wenyang
Autonomous Vehicle Engineering: August 201818AVEP0808/02/2018
Editorial V2Reality Blockchain Unchained! The weird world of cryptocurrency exists because of the intense mathematics of blockchain technology. The mobility sector is looking beyond Bitcoin to put blockchain to work in potentially game-changing ways. Are Blockchain and 'Smart Contracts' the Secure Future? Legal risk and reward of blockchain and smart contracts as a prescription for automotive applications Software Building Blocks for AV Systems Elektrobit's unique software framework is designed to smooth development of automated driving functions. Cyber Security Goes Upstream The first cloud-based solution for connected vehicles was born in Israel and is now pilot testing at global OEMs. Electronic Architectures Get Smart Upgradable, scalable and powerful new architectures will help enable data-hungry connected, autonomous vehicles. Aptiv's VP of Mobility Architecture explains. Reliability, Safety, and AV Development An overemphasis on safety without a robust and equivalent reliabili
Items per page:
1 – 50 of 163