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Guidelines to steer the future of autonomous trucking

Virginia Tech

After four years, a guidebook for the future of autonomous trucking has driven across the finish line.

In 2020, the Virginia Tech Transportation Institute (VTTI) and 17 partners were awarded a $7.5 million grant from the U.S. Department of Transportation to develop a concept of operations. The final report, published in July, includes best practices for the implementation of automated driving systems (ADS) in large trucks and policy issues for fleets to consider across eight topic areas.

“We’re excited that the Federal Motor Carrier Safety Administration's grant to the Virginia Tech Transportation Institute for the Fleet Concept of Operations exceeded the grant requirements for both activities and matching contributions,” said Tom Kelly, the Federal Motor Carrier Safety Administration's technical point of contact for the grant. “They accomplished their goal to demonstrate several different concepts of potential ADS truck applications and research key operational issues such as insurance, roadway readiness, and fleet safety management practices. All of this culminated in a ‘playbook’ for trucking fleets considering ADS operations in the future. In addition to the research findings, the grant created a publicly available data set containing thousands of miles of ADS operations data.”

The guidelines focus on eight topic areas:

Fleet specifications
System installation and maintenance guide
ADS inspection procedures
Drive state monitoring
Motor carrier guide to insuring automated driving system-equipped trucks
Identification of automated driving system-equipped truck safety metrics and variables
Road readiness assessment system
Data transfer and cybersecurity best practices

The guidelines were just one outcome of the work, known as the Fleet of Concept Operations project (CONOPS), which also included four other goals:

Observe and report on practices related to safely integrating automated driving system-equipped trucks into the U.S. on-road transportation system.
Collect datat to support the modernization of regulations by the U.S. Department of Transportation.
Demonstrate the integration of automated driving system-equipped trucks in a productive, cooperative way into existing road freight ecosystems.
Collaborate with government entities, university and research institutes, trucking associations, and private partners.

“The goal of the CONOPS project was to provide the trucking industry with guidelines on how to safely implement, integrate, and benefit from automated driving system-equipped trucks," said Rich Hanowski, director of the Division of Freight, Transit, and Heavy Vehicle Safety at VTTI. “The research conducted, including the on-road demonstrations, provides new insights and examples of successful deployments that fleets interested in integrating ADS can emulate."

To accomplish these four goals and develop the eight guidelines, the research team conducted in-the-field operational use cases, organized a variety of demonstrations and public outreach activities, and developed a Dataverse.

Operational use cases

The primary source of data collection was three operational use cases in which an automated driving system-equipped truck would be beneficial:

A five-day deployment at the Port of Oakland in California
A team completing five cross-country road trips with an automated driving system-equipped truck, totaling more than 15,000 miles
An evaluation of drivers’ actions when a vehicle is operating in an autonomous function in Whitter, Alaska, and an analysis of other ways autonomous functions could improve the supply chain

Demonstrations and public outreach

Throughout the data collection and use cases, VTTI also hosted a series of public outreach events. This included events in Charlotte, Orlando, and Dallas, during which patrons saw automated driving system demonstrations, viewed a live streamed of the cross-country data collection, and even had the opportunity to ride in an automated truck.

These events were aided by VTTI’s multiple project partners, including the San Francisco-based autonomous trucking company Pronto.ai.

“We showcased different aspects of Level 4 truck automation [high automation that still allows for human override] operations and what those might be able to look like in the future,” said Ognen Stojanovski, co-founder of Pronto.ai. “This was a demonstration of being able to integrate and deploy these kinds of technologies into the existing transportation ecosystem.”

During the event in Dallas, Kodiak Robotics provided a demonstration of an enhanced commercial motor vehicle inspection on a truck equipped with an automated driving system.

“As a leader in the autonomous technology industry, we are incredibly excited about the opportunity to enhance the safety of American highways that use the enhanced inspection program,” said Daniel Goff, Kodiak’s head of policy. “This enhanced inspection ensures that all trucks are inspected to an incredibly high standard so that law enforcement has confidence in the quality of the inspection and the roadworthiness of the trucks.”

Data usage

To support the collected data, the CONOPS Dataverse was developed to house data from the events and deployments. Hosted by VTTI, the Dataverse includes four separate collections consisting of 94 data sets each, including the following:

Data generated from the operation of the advanced driver assistance systems and automated driving system-equipped trucks, including video, kinematic, radar, GPS, and other sensors
Driver monitoring datasets from the automated driving system-equipped vehicles during the three use cases
Survey responses obtained from the public during the outreach events. The data is publicly available for use by researchers, policymakers, and others seeking insights into the future of automation in trucking.

The road ahead

While further research and development is needed for total fleet adoption, researchers said the Fleet of Concept Operations project guidelines provide the essential starting point for any fleet as well as a baseline understanding of where the industry stands with the implementation of automated driving systems in the field and what next steps are required for successful adoption.

“Automation should be developed in partnership with the humans operating around or responsible for the system,” said Andrew Krum, the project’s principal investigator and senior research associate at VTTI. “While many factors still need to be addressed, specifically fleet by fleet, this concept of operations is the first of its kind and can help to guide the future of automation in trucking fleets."

The report is available on the project website.

New provincial funding to help drive connected and autonomous vehicle research at uOttawa

University of Ottawa

The University of Ottawa has been awarded a $1 million grant from the Ontario Research Fund – Research Excellence (ORF-RE) to support the “Secure, Intelligent and Trustworthy Ecosystems for Connected and Autonomous Vehicles” (SITE-CAV) project.

Led by Burak Kantarci,Full Professor, School of Electrical Engineering and Computer Science, uOttawa’s Faculty of Engineering, the project aims to accelerate the development and integration of connected and autonomous vehicles (CAVs – or vehicles equipped with sensors and decision-making software that drives and controls it without direct human intervention) into Ontario’s transportation ecosystem.

This investment will enable the creation of a collaborative team of researchers from the University of Ottawa, Western University (Professors Abdallah Shami and Xianbin Wang), and the University of Toronto (Professor Birsen Donmez), in partnership with industry leaders, to develop groundbreaking solutions for the challenges posed by CAV technology.

“This funding represents a significant milestone for our research team and highlights the importance of our work,” explained Professor Kantarci. “We are committed to driving meaningful advancements in technology that will benefit not only our students and academic community but also society at large.”

The project will involve a collaboration with leading industry partners and will ensure that the research conducted is aligned with industry needs that can translate into practical applications.

SITE-CAV will also contribute to Ontario's emerging CAV sector by training some 59 highly qualified personnel over four years, including undergraduate and graduate students, as well as postdoctoral researchers.

“Our work will not only advance technological research and development but also contribute to safer, more secure, and efficient transportation systems, ultimately enhancing public safety and supporting the adoption of autonomous vehicle technologies,” concluded Professor Kantarci.

The SITE-CAV project is set to commence in January 2025 at uOttawa’s Kanata-North campus at its Smart Connected Vehicles Innovation Centre, which includes its own private test-driving track.

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Wednesday, September 04, 2024