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Abstract for presentation (Poster or Podium) with a Paper in the Conference Proceedings

CAV Impacts

Development and Field Evaluation of Prototype Preceding Vehicle Identification System

Monday, June 17, 2024

1:30 PM - 2:45 PM ET

Room: Galleria

Primary Author(s)

Zeyu Mu, PhD student

PhD student
University of Virginia
Charlottesville, VA, United States

Co-Author(s)

Guancheng Tu, Undergraduate Student

Undergraduate Student
University of Virginia
Charlottesville, VA, United States
Kun Yang, Ph.D. Student

Ph.D. Candidate
University of Virginia
Charlottesville, Virginia, United States
AS

Austin Deng Shi, Undergraduate Student

Undergraduate Student
University of Virginia
Oakton, Virginia, United States
YS

Yixin Sun, n/a

Assistant Professor
University of Virginia
Charlottesville, Virginia, United States
CS

Cong Shen, n/a

Assistant Professor
University of Virginia
Charlottesville, Virginia, United States
B. Brian Park, PhD

Professor
University of Virginia
Charlottesville, Virginia, United States

Submitter(s)

ZM

Zeyu Mu, Master

University of Virginia
Charlottesville, Virginia, United States

Abstract:

Preceding vehicle identification is crucial for establishing cooperative platooning. This paper presents the development of a prototype preceding vehicle identification system (PVIS) and its field evaluation for the assessment of commercial viability. We designed and assembled a prototype consisting of a processing unit (Jetson Nano board), a communication device (WiFi dongle), a GPS unit, and a distance/speed measurement sensor (Terabee sensor). The Jetson Nano integrates the SparkFun GPS-RTK-SMA unit, the Terabee time-of-flight sensor, and the WiFi dongle. The PVIS prototype in the ego vehicle measures the speed/distance to its preceding vehicle and receives the GPS data from potential preceding vehicles with the PVIS prototypes. With these, the PVIS in the ego vehicle determines the connectivity of the preceding vehicle. To ensure safety, the field evaluation was conducted at a location with few nearby vehicles and at a low speed. The field evaluation results showed that the prototype PVIS works as designed and each successful identification takes about 6 seconds. However, it was found that the Terabee time of flight sensor did not properly measure distances/speeds, likely due to an angle issue caused by the roadway surface and vibration of the vehicle. We discussed how to overcome the challenges identified and enhance the prototype for successful commercialization.

Learning Objectives:

Attendees can expect to learn the following from this session:

Upon completion, participant will be able to learn how to build a Prototype Preceding Vehicle Identification System
Upon completion, participant will be able to learn the efficiency of the Prototype Preceding Vehicle Identification System
Upon completion, participant will be able to learn the potential solution to overcome the challenges identified and enhance the prototype for successful commercialization