RESEARCH ARTICLE
High-Occupancy Vehicle Lane Enforcement System
Jinhwan Jang1, *
Article Information
Identifiers and Pagination:
Year: 2021Volume: 15
First Page: 194
Last Page: 200
Publisher ID: TOTJ-15-194
DOI: 10.2174/1874447802115010194
Article History:
Received Date: 18/2/2021Revision Received Date: 3/6/2021
Acceptance Date: 13/6/2021
Electronic publication date: 15/10/2021
Collection year: 2021
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction:
An automatic High-Occupancy Vehicle (HOV) lane enforcement system is developed and evaluated. Current manual enforcement practices by the police bring about safety concerns and unnecessary traffic delays. Only vehicles with more than five passengers are permitted to use HOV lanes on freeways in Korea. Hence, detecting the number of passengers in HOVs is a core element for their development.
Methods:
For a quick detection capability, a YOLO-based passenger detection model was built. The system comprises three infrared cameras: two are for compartment detection and the other is for number plate recognition. Multiple infrared illuminations with the same frequency as the cameras and laser sensors for vehicle detection and speed measurement are also employed.
Results:
The performance of the developed system is evaluated with real-world data collected on proving ground. As a result, it showed a passenger detection error of nine percent on average. The performances revealed no difference in vehicle speeds and the number of passengers according to ANOVA tests.
Conclusion:
Using the developed system, more efficient and safer HOV lane enforcement practices can be made.