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Construction of Real-time Dynamic Reversible Lane Safety Control Model in Intelligent Vehicle Infrastructure Cooperative System
- 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.
- Subjects :
- Electronic computers. Computer science
QA75.5-76.95
Cybernetics
Q300-390
Subjects
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