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Construction of Real-time Dynamic Reversible Lane Safety Control Model in Intelligent Vehicle Infrastructure Cooperative System

Authors :
Guiliang Zhou
Lina Mao
Tianwen Bao
Jin Dai
Xu Bao
Source :
Applied Artificial Intelligence, Vol 37, Iss 1 (2023)
Publication Year :
2023
Publisher :
Taylor & Francis Group, 2023.

Abstract

Reversible lanes play an important role in alleviating urban traffic congestion and improving the utilization of road resources. However, most of the reversible lanes currently implemented are timed and fixed, and there is little research on the safety of reversible lanes without isolation facilities. In view of the existing problems of reversible lanes, this paper proposed a real-time dynamic reversible lane safety control model. The influencing factors of reversible lane safety control are analyzed first, and then determine model parameters of the no-entry zone and the buffer zone in the conflict area. Moreover, model parameters of emptying, exit, and recovery zones in the operation process were determined as well. Additionally, this paper discussed the length of reversible lanes and the timing of signals. The surrogate safety assessment model (SSAM) is adopted to analyze vehicle trajectory data for traffic simulation under different traffic flows. The experiment results show that the proposed reversible lane safety control scheme can keep the vehicle’s traffic conflict rate below 5%, which can effectively ensure the safe operation of the reversible lane.

Details

Language :
English
ISSN :
08839514 and 10876545
Volume :
37
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Applied Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
edsdoj.1d9a8d78e6cd40cfa8ef420f7b8bde9d
Document Type :
article
Full Text :
https://doi.org/10.1080/08839514.2023.2177009