Connected Vehicle Identification System for Cooperative Control of Connected Automated Vehicles

Park, B. Brian; Mu, Zeyu; Tu, Guancheng; Shi, Austin; Yang, Kun; Sun, Yixin; Shen, Cong; University of Virginia

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Connected Vehicle Identification System for Cooperative Control of Connected Automated Vehicles

2024-08-01
By Park, B. Brian ; Mu, Zeyu ; Tu, Guancheng ; ...

[PDF-877.14 KB]

English

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Creators:

Park, B. Brian ; Mu, Zeyu ; Tu, Guancheng ; Shi, Austin ; Yang, Kun ; ... More +

Park, B. Brian ; Mu, Zeyu ; Tu, Guancheng ; Shi, Austin ; Yang, Kun ; Sun, Yixin ; Shen, Cong Less -
Corporate Creators:

University of Virginia
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC) Less -
Subject/TRT Terms:

[+]

Electric Vehicle Charging Forecasting Market Share Optimization Transportation Planning Travel Patterns
Publication/ Report Number:

SM13
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)
Abstract:

Connected 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 (Wi-Fi dongle), a GPS unit, and a distance measurement sensor (Terabee sensor). The Jetson Nano integrates the SparkFun GPS-RTK-SMA unit, the Terabee time-of-flight sensor, and the Wi-Fi dongle. The PVIS prototype in the ego vehicle measures the 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. The field evaluation results showed that the prototype PVIS works as designed, and each successful identification takes about 5.3 seconds. However, it was found that the Terabee (time of flight) sensor did not properly measure distances at times, 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.
Format:

PDF
Funding:

69A3552348303
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:4004e67396918837417b7b0aa8dd78b0f7ea00764efecf6e8191c7fd9c4dacf6115dd5cc86731129e751999ed9bf0d81e89065f0c9f408148e9ea902212d9b0a
Download URL:

https://rosap.ntl.bts.gov/view/dot/79067/dot_79067_DS1.pdf
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Connected Vehicle Identification System for Cooperative Control of Connected Automated Vehicles

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