Browse Topic: Heavy trucks

Items (1,370)
This SAE Recommended Practice describes a laboratory test procedure and requirements for evaluating the characteristics of heavy-truck steering control systems under simulated driver impact conditions, as well as driver entry/egress conditions. The test procedure employs a torso-shaped body block that is impacted against the steering wheel.
Truck Crashworthiness Committee
This SAE Recommended Practice establishes uniform test procedures for friction based parking brake components used in conjunction with hydraulic service braked vehicles with a gross vehicle weight rating greater than 4500 kg (10 000 lb). The components covered in this document are the primary actuation and the foundation park brake. Various peripheral devices such as application dashboard switches or indicators are not included. These test procedures include the following: a Brake Related Tests 1 Brake Functional Performance 2 Brake Dynamic Torque Performance 3 Brake Corrosion Resistance 4 Brake Endurance with Torque 5 Brake Endurance without Torque 6 Vibration Resistance 7 Brake Ultimate Static Load 8 Brake Lining Wear Adjuster Function b Actuation Related Tests 1 Mechanical Actuator Functional Performance 2 Mechanical Actuator Endurance 3 Mechanical Actuator Quick Release 4 Mechanical Actuator Ultimate Load 5 Spring Apply Actuator Functional Performance 6 Spring Apply Actuator Operating Temperature Range 7 Spring Apply Actuator Endurance 8 Spring Apply Actuator Corrosion Resistance 9 Spring Apply Actuator On-Off Switch 10 Spring Apply Actuator Vibration
Truck and Bus Hydraulic Brake Committee
This SAE Recommended Practice describes the test procedures for conducting simulated dynamic lateral rollover restraint system tests for heavy truck applications. Its purpose is to establish recommended test procedures that will standardize restraint system testing for heavy trucks. Descriptions of the test set-up, test instrumentation, photographic/video coverage, and the test fixtures are included.
Truck Crashworthiness Committee
This SAE Recommended Practice provides a standardized test procedure for heavy-duty truck sleeper berth restraints to determine whether they meet the FMCSR 393.76(h) requirements.
Truck Crashworthiness Committee
This SAE Standard establishes the minimum construction and performance requirements for single conductor cable for use on trucks, trailers, and converter dollies.
Truck and Bus Electrical Systems Committee
This SAE Recommended Practice is intended to describe the application of single-phase DC to AC inverters, and bidirectional inverter/chargers, which supply power to ac loads in Class heavy duty on-highway trucks (10K GVW). The document identifies appropriate operating performance requirements and adds some insight into inverter selection. This document applies to factory and after-market installed DC-to-AC inverter systems (Including inverter chargers) providing up 3000 W of 120 VAC line-voltage power as a convenience for operator and passenger use. Such inverters are intended to power user loads not essential to vehicle Operation or safety (e.g., HVAC, TV, microwave ovens, battery chargers for mobile phones or laptop computers, audio equipment, etc.). Systems incorporate the inverter itself as well as the input, output, control, and signal wiring associated with the inverter. Requirements are given for the performance, safety, reliability, and environmental compatibility of the system. These are recommended requirements to be used by vehicle manufacturers in the development of their own specifications, which may incorporate more or less stringent requirements. This document scope excludes military vehicles, bus and 28 V systems.
Truck and Bus Electrical Systems Committee
This SAE Recommended Practice describes the test procedures for conducting frontal impact restraint tests for heavy truck applications. Its purpose is to establish recommended test procedures that will standardize restraint system testing for heavy trucks. Descriptions of the test set-up, test instrumentation, photographic/video coverage, and the test fixtures are included.
Truck Crashworthiness Committee
This study provides a simulation-based comparative analysis of the distance and time needed for long combination vehicles (LCVs) - namely, A-doubles with 28-, 33-, and 48-ft trailers - to safely exercise an emergency, evasive steering maneuver such as required for obstacle avoidance. The results are also compared with conventional tractor-semitrailers with a single 53-ft trailer. A multi-body dynamic model for each vehicle combination is developed in TruckSim® with an attempt to assess the last point to steer (LPTS) and evasive time (ET) at various highway speeds under both dry and wet road conditions. The results indicate that the minimum avoidance distance and time required for the 28-ft doubles vary from 206 ft (60 mph) to 312 ft (80 mph) and 2.3 s to 2.6 s, respectively. The required LPTS represents a 6% to 31% increase when compared with 53-ft semitrucks. When driving below 76 mph on a dry road and below 75 mph on a wet road, the 28-ft doubles exhibit LPTS and ET that are larger than 33-ft doubles. In addition, the 33-ft doubles exhibit larger LPTS and ET than 48-ft doubles for the highway speeds considered. This is mainly attributed to the longer trailer wheelbase that causes smaller rear trailer amplifications. At speeds higher than 76 mph on dry roads and 75 mph on wet roads, however, an opposite trend is observed. As the trailer length increases, the distance and time needed to safely avoid an obstacle also increase. A comparison between dry and wet road conditions is also conducted, with the results indicating that more time and distance would be needed for obstacle avoidance on wet roads.
Chen, YangZhang, ZichenAhmadian, Mehdi
With ever tightening emission standards, the automotive industry is continuously seeking novel ways to improve the aftertreatment system (ATS). Exhaust treatment systems using diesel emission fluid (DEF), in conjunction with selective catalytic reduction (SCR) and diesel oxidation converters (DOC), have been gaining popularity in the heavy equipment industry. Spraying DEF (mixture of urea and water) into the exhaust flow can convert harmful NOx gases into N2 and H2O. Design of ATSs focuses on high evaporation rate and uniform mixing of ammonia at the entrance to the SCR catalyst. This study applied support vector regressor (SVR), a machine learning (ML) method to a database of computational fluid dynamics (CFD) simulations to develop a highly efficient mixer with high heat exchange characteristics. Over 500 mixer designs were evaluated using CFD and were then used to train the SVR model. The trained ML model was then used as a surrogate to the CFD and coupled with the genetic algorithm (GA), an optimization technique, to further refine the design parameters. The optimal design obtained from this methodology showed a remarkable performance improvement compared to the baseline.
Singh, Samrendra K.Braginsky, DanielTamamidis, PanosGennaro, Monacelli
Commercial vehicles often incorporate self-steering axles to meet the axle load requirements while providing improved maneuverability, reduced off-tracking, and reduced tire and pavement wear. Market forces promote the design of more efficient self-steering axle products with reduced weight and more features. Manufacturers also work to differentiate their products through unique designs and new concepts. Traditional design methods for self-steering axles include empirical and trial-and-error methods to set the steering mechanism design parameters based on known design baselines and prior experience. For innovative new concepts that are too far from the traditional designs, it is desirable to have alternative ways for evaluating the expected performance. This article introduces a reduced-order model that allows the rapid analysis of the steering dynamic behavior of self-steering axles. The model combines a pendulum-like lateral stiffness model with the axle steering dynamics which are then coupled to suitable reduced-order models for tractor-trailer combinations on which the self-steering axle can be mounted. The proposed model is shown to capture the shimmy behavior of the self-steering axle using phase portraits of the coupled nonlinear system. The model provides a way to identify the important stiffness and damping parameters of steering axle design concepts that are not yet sufficiently developed, and therefore the details required for full multi-body dynamic analysis are not available.
Delorenzis, DamonAyalew, Beshah
A New Simulation Approach of Estimating the Real-World Vehicle Performance2020-01-03704/14/2020
Due to the variability of real traffic conditions for vehicle testing, real-world vehicle performance estimation using simulation method become vital. Especially for heavy duty vehicles (e.g. 40 t trucks), which are used for international freight transport, real-world tests are difficult, complex and expensive. Vehicle simulations use mathematical methods or commercial software, which take given driving cycles as inputs. However, the road situations in real driving are different from the driving cycles, whose speed profiles are obtained under specific conditions. In this paper, a real-world vehicle performance estimation method using simulation was proposed, also it took traffic and real road situations into consideration, which made it possible to investigate the performance of vehicles operating on any roads and traffic conditions. The proposed approach is applicable to all kind of road vehicles, e.g. trucks, buses, etc. In the method, the real-road network includes road elevation. The traffic conditions and vehicles parameters were the inputs for traffic simulation. Based on the outputs (speed profiles and elevations) of target vehicles in the traffic simulation, then the real-world performance of the vehicle was achieved by vehicle simulation under the given traffic conditions. The fuel consumption of the vehicle calculated using this method was 34.00 L/100 km under free traffic flow conditions over highway route.
Gao, JianbingChen, HaiboChen, JunyanDave, Kaushali
Control Performance of Damping and Air Spring of Heavy Truck Air Suspension System with Optimal Fuzzy Control10-04-02-00132/28/2020
The air suspension system of heavy trucks not only improves the vehicle’s ride comfort but also reduces the negative impact on the road surface. In order to evaluate the performance of the control damping (CD) and the control air spring (CAS) of the vehicle air suspension system on the ride comfort and the road friendliness, a three-dimensional (3D) nonlinear dynamic model with 14 degrees of freedom (DOF) of the heavy trucks and optimal fuzzy control (OFC) with control rules optimized by the genetic algorithm (GA) are proposed in this study. The root mean square (RMS) acceleration response of the tractor and the dynamic load coefficient (DLC) at the wheel axles are chosen as objective functions under the various operating conditions. Contrastive analysis of the RMS and DLC values with the passive (P), CD, and CAS methods of the air suspension system is carried out respectively. The research result shows that both the CD and CAS methods remarkably improve the ride comfort and road friendliness of the heavy trucks in comparison with P, especially the CAS method has an obvious effect on mitigating the road damage in comparison with the CD method; conversely the CD method is better than the CAS method to improve the tractor’s ride comfort under different operating conditions.
Nguyen, VanliemJiao, RenqiangZhang, Jianrun
Development challenges of hydraulic brakes for commercial vehicles2019-36-00131/13/2020
The automotive research and development environment is increasingly challenging and complex, full of new technologies, regulations and customized customer needs. In addition, the cargo transportation market is very dynamic and competitive, becoming complex the strategies for companies in this segment. According to Anfavea (2018), this trend, especially in large urban centers, has driven the intention to use light commercial vehicles to capillize deliveries in destinations with a high demographic concentration and traffic limited to medium and heavy vehicles. In this scenario, the demand for diversified products is increasing in order to overcome the main tradeoff: “minimizing the size of the trucks and maximize the load capacity”. It brings the number of complex projects. The brake system is greatly impacted in these developments mainly because light commercial vehicles are situated in a weight range that we can call "identity crisis" if on the one hand they need an upgrade compared to a conventional car and use the hydraulic brake on the other one need a downgrade of a medium or heavy truck that brings robustness and pneumatic brakes. The definition of the type of assistance is a determining factor, hydraulic brake; pneumatic brake or a hybrid brake (air over hydraulic). Each type has its advantages and disadvantages, which are directly related to the vehicle's application such as installation package, serviceability, service brake costs and performance and especially parking brake. This work shows the study and development of the brake system including the detailed presentation of a dry caliper, implemented as disruptive innovation technology. It also has a new concept applied to a commercial vehicle, developed in Brasil and used as footprint own knowledge for the specific needs of the market and provides a very cost-benefit commitment for the customer, yet brings the wished confidence of the parking brake function for drivers.
Vetter, Narã VieiraCarlos de Oliveira, AntonioFontes, Eduardo Henrique SouzaNogueira, FelipeFonseca, Guilherme HenriqueNuss de Souza, Luis FernandoOliveira dos Reis, Rodrigo deManenti, Vangelo Cardoso
The performance and mechanisms of organic polymeric friction modifiers in low viscosity engine oils2019-01-220412/19/2019
The requirement of OEMs to reduce CO2 emissions is leading to a reduction in viscosity of engine oils with 0W20 approved oils now common. 0W 16 approvals are growing in popularity and will be further supported in the US by the introduction of ILSAC GF-6B. Japanese OEMs are driving the development of 0W- 12 and 0W08 grades which will be supported by JASO GLV-1. These low viscosity engine oils can contain MoDTC with very high levels of 1000+ppm molybdenum to achieve the fuel economy improvement required to pass engine tests such as Sequence VIE. Molybdenum usage at this level contributes to sulphated ash increase. It can also have a negative impact on deposits. This paper examines the performance and mechanism of two ashless polymeric friction modifiers in a 0W20 formulation. These polymeric friction modifiers have been shown to give fuel economy benefits in Sequence VIE engine tests. The aim of this work is to better understand the influence and interaction of these polymeric friction modifiers in the presence of ZDDP as well as other additives, in tribological testing. Specifically, how the friction and wear benefits observed in MTM testing correlate to the chemical composition of the tribofilm as characterised by X-ray Photoelectron Spectroscopy (XPS) and Raman spectroscopy. Further work detailing the combination of polymeric friction modifier and MoDTC was conducted on the MTM, including surface characterisation for potential synergistic properties in the reference oil. Evidence of the polymeric friction modifier on the surface, and throughout the depth of the tribofilm, was observed, even in the presence of molybdenum containing additives. This work proves the good surface affinity and film forming properties of polymeric friction modifiers and highlights the differences in the tribofilm composition depending on the friction modifier(s) used.
Moody, GarethEastwood, JohnUeno, Keiko
Countering the Destabilizing Effects of Shifted Loads through Pneumatic Suspension Design10-04-01-000111/8/2019
This article proposes a novel approach to reduce the destabilizing impacts of the shifted loads of heavy trucks (due to improper loading or liquid slosh) by pneumatic suspension design. In this regard, the pneumatically balanced suspension with dual leveling valves is introduced, and its potential for the improvement of the body imbalance due to the shifted load is determined. The analysis is based on a multi-domain model that couples the suspension fluid dynamics, shifted-load impacts, and tractor-semitrailer dynamics. Truck dynamics is simulated using TruckSim, which is integrated with the pneumatic suspension model developed in AMESim. This yields a reasonable prediction of the effect of the suspension airflow dynamics on vehicle dynamics. Moreover, the ability of the pneumatic suspension to counteract the effects of two general shifted loads - static (rigid cargo) and dynamic (liquid) - is studied. The simulation results indicate that the dual-leveling-valve suspension results in a reduction in roll angle and roll rate of the vehicle body for both static and dynamic load-shifting cases, as compared to the conventional single-leveling-valve suspension. Suppression of the liquid sloshing behavior is obtained by the truck with the dual-leveling-valve suspension. Furthermore, the co-simulation platform established in the study is useful for efficient and accurate analyses of the coupled shifted load-pneumatic suspension-vehicle system dynamics.
Chen, YangAhmadian, Mehdi
A Mild Hybrid SIDI Turbo Passenger Car Engine with Organic Rankine Cycle Waste Heat Recovery2019-24-01949/9/2019
While striving for more fuel-efficient vehicles, all possible measures are considered to increase the efficiency of the combustion engine powertrain. 48V mild hybrid technology is one such measure, SIDI (Spark Ignited Direct Injection) engines with Miller technology are another, while recovering energy from the engine’s waste heat (WHR) is yet another option. In this paper, results will be published from an advanced engineering project at Volvo Cars including all of these components. An ethanol based Organic Rankine Cycle (ORC) WHR-system was successfully built around a 4-cylinder, 2.0 litre SIDI-engine, including 48V mild hybrid technology, with vehicle packaging considered. A dedicated control system was also developed for the ORC system including communication between it and the engine. The ORC system uses the engine exhaust as the heat source, for which a purpose-built evaporator was designed and built to fit in the vehicle tunnel. The expansion of the ethanol vapour occurs in an axial piston expander coupled both electrically to the hybrid system and mechanically to the engine crankshaft via a belt-drive. This dual power output from the expander was found to be of particular importance for a passenger car with a transient driving style, giving the opportunity to recover more waste heat energy by overcoming the slow response from the steam system with the fast response of the electrical hybrid system. Initial results on the engine bench indicate, at high engine loads, a decrease in brake specific fuel consumption of 5-7% with stoichiometric engine operation. These results are in-line with our simulations also show that the combined powertrain system gives advantages in both city (mild hybrid), rural (optimized engine, WHR) and highway conditions (WHR).
Ekström, Fredrik B.Rolandson, OlaEriksson, SorenOdenmarck, ChristerSvensson, MattiasEriksson, AndreasOlsen, Hans
Empirical Investigation on the Effects of Rolling Resistance and Weight on Fuel Economy of Medium-Duty Trucks02-12-03-00168/28/2019
Abstract Vehicle rolling resistance and weight are two of the factors that affect fuel economy. The vehicle tire rolling resistance has a more significant influence than aerodynamics drags on fuel economy at lower vehicle speeds, particularly true for medium- and heavy-duty trucks. Less vehicle weight reduces inertia loads, uphill grade resistance, and rolling resistance. The influence of weight on the fuel economy can be considerable particularly in light- to medium-duty truck classes because the weight makes up a larger portion of gross vehicle weight. This article presents an empirical investigation and a numerical analysis of the influences of rolling resistance and weight on the fuel economy of medium-duty trucks. The experimental tests include various tires and payloads applied on a total of 21vehicle configurations over three road profiles. These tests assessed the sensitivity of the vehicle’s fuel economy toward rolling resistance and weight. Several experimental results showed inconsistent and counterintuitive trends of the effects of rolling resistance coefficients and weights on fuel economy. The consequences of rolling resistance and vehicle payload are compound and influenced by vehicle speed, road profile, and tire pressure. The irregularities of weight variances’ impact on rolling resistance requires further investigation in the strain level of the tire deformation.
Liao, Gene Y.Card, BrandonO’Malley, Molly
SAE Truck & Off-Highway Engineering: June 201919TOFHP066/1/2019
Bullish on biomethane The CEO of CNH Industrial says biomethane is cleaner path than electric, as Case demos the alt fuel in cool wheel-loader concept. Unique hybrids required Power systems expert at Perkins stresses that on-highway electric solutions cannot be directly applied to the more-rugged and varied applications in off-highway. Getting driverless trucks onto roadways Autonomous developers at TuSimple address many technical issues, but they also must consider regulations and operating modes. Stronger, quieter cabs Worthington expert sees AHSS and active noise cancellation making off-highway cabs safer and less-stressful places to work. Hydrogen boom! Nikola reveals Two and Tre fuel-cell trucks and its H2 fueling roadmap, as well as battery-electric military and powersports vehicles. Rearview cameras come into sight Momentum is building behind replacing mirrors with camera monitor systems as the technology edges closer to regulatory approval. Supplier Directory Complete listing of industry suppliers categorized by technology area. Editorial Diesel's doing just fine, thank you. Achieving better power management by optimizing thermal management Security, bandwidth drive over-the-air development SAE launches Office of Automation Cleaner Trucks Initiative starts NOx-reduction journey JCB adds three new X Series crawler excavators Toyota's proven fuel-cell stack reduces cost, complexity in H2 semi-truck Q&A Volvo CE's Calle Skillsäter talks about trialing 5G connectivity in construction
Modeling of Close-Coupled SCR Concepts to Meet Future Cold Start Requirements for Heavy-Duty Engines2019-01-09844/2/2019
The low-NOx standard for heavy-duty trucks proposed by the California Air Resources Board will require rapid warm-up of the aftertreatment system (ATS). Several different aftertreatment architectures and technologies, all based on selective catalytic reduction (SCR), are being considered to meet this need. One of these architectures, the close-coupled SCR (ccSCR), was evaluated in this study using two different physics-based, 1D models; the simulations focused on the first 300 seconds of the cold-start Federal Test Procedure (FTP). The first model, describing a real, EuroVI-compliant engine equipped with series turbochargers, was used to evaluate a ccSCR located either i) immediately downstream of the low-pressure turbine, ii) in between the two turbines, or iii) in a by-pass around the high pressure turbine. These simulations indicate that the location downstream of the low-pressure turbine offers nearly the best NOx conversion, and that the optimal volume of the ccSCR in this location is 25% of a conventional SCR catalyst. The second model describes a conventional heavy-duty aftertreatment system, to which a ccSCR was added. This model was used to examine the performance of the ccSCR in the context of the full ATS. Optimization of the diesel oxidation catalyst (DOC) and SCR catalyst designs in this system was considered, as well as the use of an NH3 storage-based control strategy for DEF dosing to the SCR catalysts.
Harris, Thomas MillerMc Pherson, KristofferRezaei, RezaKovacs, DavidRauch, HendrikHuang, Yinyan
Analysis of the Effect of Vehicle Platooning on the Optimal Control of a Heavy Duty Engine Thermal System2019-01-12594/2/2019
One promising method for reducing fuel consumption and emissions, particularly in heavy duty trucks, is platooning. As the distance between vehicles decreases, the following vehicles will experience less aerodynamic drag on the front of the vehicle. However, reducing the velocity of the air contacting the front of the vehicle could have adverse effects on the temperature of the engine. To compensate for this effect, the energy consumption of the engine cooling system might increase, ultimately limiting the overall improvements obtained with platooning. Understanding the coupling between drag reduction and engine cooling load requirement is key for successfully implementing platooning strategies. Additionally, in a Connected and Automated Vehicle (CAV) environment, where information of the future engine load becomes available, the operation of the cooling system can be optimized in order to achieve the maximum fuel consumption reduction. In this paper, a control-oriented physics-based model for the engine cooling loop of a Volvo engine is developed and validated against road data. Starting from the validated model, an optimal control problem for the coolant system is formulated considering the tradeoff between the tracking of the engine temperature setpoint and the corresponding fuel consumption under different trailing distances. To compare the coolant system performance, Dynamic Programming (DP) is used to determine the global optimal solution for the coolant system actuator. The coupling between optimal cooling system operation and reduction in ram air are evaluated by comparing the results obtained from the DP under different platooning conditions against the unrestricted scenario. In addition, the paper analyzes the changes in the tradeoff between fuel consumption and setpoint tracking for different vehicle distances. This analysis will provide useful insight on the sensitivity of the coolant system controller calibration to the platoon distance.
Block, BrianHuynh, BrianBoyle, StephenStockar, StephanieGeyer, StephenLi, JianHuber, Jeffrey
An Investigation of the Influence of Close-Proximity Traffic on the Aerodynamic Drag Experienced by Tractor-Trailer Combinations2019-01-06484/2/2019
Recent research to investigate the aerodynamic-drag reduction associated with truck platooning systems has begun to reveal that surrounding traffic has a measurable impact on the aerodynamic performance of heavy trucks. A 1/15-scale wind-tunnel study was undertaken to measure changes to the aerodynamic drag experienced by heavy trucks in the presence of upstream traffic. The results, which are based on traffic conditions with up to 5 surrounding vehicles in a 2-lane configuration and consisting of 3 vehicle shapes (compact sedans, SUVs, and a medium-duty truck), show drag reductions of 1% to 16% for the heavy truck model, with the largest reductions of the same order as those experienced in a truck-platooning scenario. The data also reveal that the performance of drag-reduction technologies applied to the heavy-truck model (trailer side-skirts and a boat-tail) demonstrate different performance when applied to an isolated vehicle than to conditions with surrounding traffic. The results suggest that vehicle shape optimization strategies may differ if the influence of wake effects from surrounding traffic is included in product development cycles. Additionally, truck-platooning benefits should be taken in the context of typical traffic scenarios for which trucks are already experiencing a background-platooning effect and therefore may not be expected to attain the benefits relative to isolate-vehicle conditions.
McAuliffe, BrianAhmadi-Baloutaki, Mojtaba
A Generalized Component Efficiency and Input-Data Generation Model for Creating Fleet-Representative Vehicle Simulation Cases in VECTO2019-01-12804/2/2019
The Vehicle Energy Consumption calculation Tool (VECTO) is used for the official calculation and reporting of CO2 emissions of HDVs in Europe. It uses certified input data in the form of energy or torque loss maps of driveline components and engine fuel consumption maps. Such data are proprietary and are not disclosed. Any further analysis of the fleet performance and CO2 emissions evolution using VECTO would require generic inputs or reconstructing realistic component input data. The current study attempts to address this issue by developing a process that would create VECTO input files based as much as possible on publicly available data. The core of the process is a series of models that calculate the vehicle component efficiency maps and produce the necessary VECTO input data. The process was applied to generate vehicle input files for rigid trucks and tractor-trailers of HDV Classes 4, 5, 9 and 10. Subsequently, evaluating the accuracy of the process, the simulation results were compared with reference VECTO results supplied by various vehicle manufacturers. The results showed that the difference between simulated and reference CO2 emissions was on average -0.6% in the Long Haul cycle and 1% in the Regional Delivery. Such a process could be a powerful tool for calculating HDV CO2 emissions for development and analysis purposes, e.g. for new vehicle prototypes or multistage vehicles, and for creating VECTO equivalent models that can be used to assess alternative operating conditions and mission profiles of existing vehicle models. The methodology was applied for creating input of various components in the US tool for HDV certification, GEM, for generic sample-vehicle models available.
Zacharof, NikiforosTansini, AlessandroPrado Rujas, IkerGrigoratos, TheodorosFontaras, Georgios
Introduction to Autonomous Trucking and Platooning TechnologyC191312/19/2018
Vehicle automation and intelligent transportation systems will be the cornerstones of sustainable smart cities of the future. People movers seem to be at the heart of technology development, field trials and on-road testing, and strategic business partnerships when it comes to connectivity and automated driving. Majority of the focus has been on unmanned operation and door-to-door service in urban environments and not on highways. Highways are relatively simpler to handle from an engineering stand-point, but vehicles typically operate at higher speeds, so the cost of accidents is worse. This is very applicable for Class 8 trucks that are hauling loads (i.e., heavy), big, and fast. At the same time, most of the truck maneuvering, especially on highway is pretty straightforward (i.e., maintaining a highway lane, usually the slowest one, with limited lane change maneuvers). It is also easy to contemplate how automating buses (where the routes are fixed) or construction equipment (in confided areas) make sense from a safety and economics point-of-view. This leads to the “Heavy metal first” hypothesis, where we explore why automation in the heavy-duty sector and industrial machines may happen sooner. Some truck OEMs and technology companies have been exploring truck automation. While some have explored concepts such as truck platooning (automated driving with a human in the cab), others have been testing fully autonomous trucks in customer operations. This course is intended to cover the basics of connected automation and provide a ringside view of everything happening in the area of truck automation with special focus on platooning including, but not limited to technology development, field trials, opportunities, and challenges facing the wide scale deployment of such systems.By attending this seminar, you will be able to: Recognize application scenarios for platooning to trucks and buses Appreciate the synergy between connectivity and automated driving systems Gain a solid understanding of the relationship between the different levels of vehicle automation Develop the ability to appreciate the impacts of automation on existing business operations Identify the complications with safely introducing automation on public roads 2 Days CEUs
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