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Event

Program - Government/Industry Meeting

2021-11-28
The Government/Industry Meeting technical program is designed to provide an open forum to discuss the critical impacts that legislation has on vehicle design from R&D to customer acceptance.
Magazine

SAE Truck & Off-Highway Engineering: October 2021

2021-10-07
Defending the heavy-vehicle cyber domain Cybersecurity experts explained at SAE COMVEC 2021 how they're preparing the next generation of thwarters to protect increasingly electrified, connected and automated trucks.
Journal Article

Real-Time Network Defense of SAE J1939 Address Claim Attacks

2021-08-30
Abstract Heavy vehicles are essential for the modern economy, delivering critical food, supplies, and freight throughout the world. Connected heavy vehicles are also driven by embedded computers that utilize internal communication using common standards. However, some implementations of the standards leave an opening for a malicious actor to abuse the system. One such abuse case is a cyber-attack known as the “Address Claim Attack.” Proposed in 2018, this attack uses a single network message to disable all communication to and from a target electronic control unit, which may have a detrimental effect on operating the vehicle. This article demonstrates the viability of the attack and then describes the implementation of a solution to prevent this attack in real time without requiring any intervention from the manufacturer of the target devices. The defense technique uses a bit-banged Controller Area Network (CAN) filter to detect the attack.
Standard

Security Recommendations for Interfaces to On-vehicle Networks

2021-08-06
WIP
J1939-91A
This document will provide recommendations to vehicle manufacturers and component suppliers in securing the SAE J1939 network from the cybersecurity risks. It is recognized that not every application of SAE J1939 networks requires the same level of cyber security measures.
Standard

CAN FD Data Link Layer

2021-07-16
CURRENT
J1939-22_202107
The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.
Technical Paper

Safe Operations at Roadway Junctions - Design Principles from Automated Guideway Transit

2021-06-16
2021-01-1004
This paper describes a system-level view of a fully automated transit system comprising a fleet of automated vehicles (AVs) in driverless operation, each with an SAE level 4 Automated Driving System, along with its related safety infrastructure and other system equipment. This AV system-level control is compared to the automatic train control system used in automated guideway transit technology, particularly that of communications-based train control (CBTC). Drawing from the safety principles, analysis methods, and risk assessments of CBTC systems, comparable functional subsystem definitions are proposed for AV fleets in driverless operation. With the prospect of multiple AV fleets operating within a single automated mobility district, the criticality of protecting roadway junctions requires an approach like that of automated fixed-guideway transit systems, in which a guideway switch zone “interlocking” at each junction location deconflicts railway traffic, affirming safe passage.
Standard

CAN FD Data Link Layer

2021-03-22
HISTORICAL
J1939-22_202103
The flexible data rate capability in CAN (commonly called CAN FD) is implemented as a transport layer in order to allow for functional safety, cybersecurity, extended transport capability, and backward compatibility with SAE J1939DA.
Magazine

SAE Truck & Off-Highway Engineering: August 2020

2020-08-06
Big future for e-axles, advanced motors Top transmission engineers claim driveline electrification will transform everything from all-wheel drive to Class 8 tractor-trailers. Big data's benefits keep a-comin' Gigabytes of data are being collected and increasingly mined to improve field operations, maintenance and even vehicle design. Transformative times Despite a challenging climate, technology development progresses - as does the sharing of innovative ideas - virtually. Editorial Zeroing in on zero emissions Softing envisions secure, reliable predictive maintenance Reconstructing accidents in the ADAS age Paving the way to improved truck fuel efficiency Nikola looks to accelerate production, hydrogen infrastructure Mecalac designs unique-pivoting swing loader Q&A' Horiba's Joshua Israel discusses complex regulatory landscape's impact on commercial-vehicle development and shift to electrification.
Technical Paper

A Safety and Security Testbed for Assured Autonomy in Vehicles

2020-04-14
2020-01-1291
Connectivity and autonomy in vehicles promise improved efficiency, safety and comfort. The increasing use of embedded systems and the cyber element bring with them many challenges regarding cyberattacks which can seriously compromise driver and passenger safety. Beyond penetration testing, assessment of the security vulnerabilities of a component must be done through the design phase of its life cycle. This paper describes the development of a benchtop testbed which allows for the assurance of safety and security of components with all capabilities from Model-in-loop to Software-in-loop to Hardware-in-loop testing. Environment simulation is obtained using the AV simulator, CARLA which provides realistic scenarios and sensor information such as Radar, Lidar etc. MATLAB runs the vehicle, powertrain and control models of the vehicle allowing for the implementation and testing of customized models and algorithms.
Journal Article

Chip and Board Level Digital Forensics of Cummins Heavy Vehicle Event Data Recorders

2020-04-14
2020-01-1326
Crashes involving Cummins powered heavy vehicles can damage the electronic control module (ECM) containing heavy vehicle event data recorder (HVEDR) records. When ECMs are broken and data cannot be extracted using vehicle diagnostics tools, more invasive and low-level techniques are needed to forensically preserve and decode HVEDR data. A technique for extracting non-volatile memory contents using non-destructive board level techniques through the available in-circuit debugging port is presented. Additional chip level data extraction techniques can also provide access to the HVEDR data. Once the data is obtained and preserved in a forensically sound manner, the binary record is decoded to reveal typical HVDER data like engine speed, vehicle speed, accelerator pedal position, and other status data. The memory contents from the ECM can be written to a surrogate and decoded with traditional maintenance and diagnostic software.
Magazine

SAE Truck & Off-Highway Engineering: February 2020

2020-02-01
ICE advances Engine developers employ revised electronic architectures, mechanical tweaks to boost fuel efficiency, performance of internal-combustion engines. Autonomous construction sites Equipment makers are testing the emerging technologies required to advance automation beyond individual machines. Modeling electric motors How to develop a traction drive using a multiphysics-based approach with 3D modeling and simulation. Solving the "telehandler problem" Two-stage overcenter valves create stability in machines with highly dynamic loads. Engineering the world's fastest tractor JCB worked with design and engineering specialists to build a spectacular speed record-breaker that topped 150 mph.
Technical Paper

Transformational Technologies Reshaping Transportation - An Academia Perspective

2019-10-14
2019-01-2620
This paper and the associated lecture present an overview of technology trends and of market and business opportunities created by technology, as well as of the challenges posed by environmental and economic considerations. Commercial vehicles are one of the engines of our economy. Moving goods and people efficiently and economically is a key to continued industrial development and to strong employment. Trucks are responsible for nearly 70% of the movement of goods in the USA (by value) and represent approximately 300 billion of the 3.21 trillion annual vehicle miles travelled by all vehicles in the USA while public transit enables mobility and access to jobs for millions of people, with over 10 billion trips annually in the USA creating and sustaining employment opportunities.
Magazine

SAE Truck & Off-Highway Engineering: August 2019

2019-08-01
Electric machines find their niche Smaller machines working in cities are particularly ripe for electrification, but most off-highway applications will retain the internal-combustion engine. Big data, big benefits Data mining helps users and equipment developers use data from on-vehicle sensors to work more efficiently. Data connectivity in harsh environments Ensuring high-speed data transmission requires OEM designers to think more about components, placement and the impact of environmental conditions early in design. Trucks with intuition Perceptive Automata partners with Volvo Trucks to demonstrate AI technology that can determine when pedestrians will cross the road. Change is afoot Cummins and its CTO help focus the 2019 SAE COMVEC on the fast-shifting technology landscape that faces both on- and off-highway sectors. Editorial AI, ADAS & AVs-oh my!
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