10.5281/ZENODO.4027902
Muhammad Z. Hasan
School of Engineering, Texas A&M International University, 5201 University Boulevard, Laredo, TX 78041
Nicholas Trevino
School of Engineering, Texas A&M International University, 5201 University Boulevard, Laredo, TX 78041
Rene Chavez
School of Engineering, Texas A&M International University, 5201 University Boulevard, Laredo, TX 78041
Detection of Wrong Way Driving using V2I Communication
Zenodo
2020
Wrong Way Driving, Vehicle to Infrastructure Communication, Detection Time
2020-09-13
Journal article
https://zenodo.org/record/4027903
http://ibii-us.org/Journals/AJAR/V4N2/Publish/V4N2_1.pdf
10.5281/zenodo.4027903
https://zenodo.org/communities/ibii_aiaj
https://zenodo.org/communities/ibii_journals
Creative Commons Attribution 4.0 International
Open Access
<p><sup>1,*</sup>, ,</p>
<p>Wrong Way Driving (WWD) is an ongoing problem that requires constant attention in order to prevent accidents and to protect the general public. Texas Department of Transportation (TxDOT) in San Antonio has initiated a program to implement solutions to mitigate WWD accidents. As technology continues to advance, it is important to create innovative solutions to counteract the WWD problem. In intelligent vehicles and vehicles with a heads-up display (HUD), we can utilize the on-board computer of Vehicle to Infrastructure (V2I) communication system to detect WWD and to alert the authorities. This project simulates the On-Board Unit (OBU) of the car and the Roadside Equipment (RSE) that will interact with each other to detect the WWD. Proper interaction between OBU and RSE is implemented for data transfer to detect the WWD. Test results show that the RSE takes 3.61 ms to notify the vehicle of a WWD. The worst-case violation can be detected within a distance of 3.81 inches in the ramp.</p>
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