Analysis and Evaluation Model of Off-Street Parking Lot under Complex Conditions
The entries of off-street parking lots are the connecting points of urban dynamic traffic and static traffic. When there are signal controls, bus stops, and other traffic facilities in the entrance-affected area, the traffic situation is complicated, and traffic jams are likely to occur. Based on probability theory, the authors establish a probability model for the conflict between different traffic flows in the area affected by the entrance of the off-street parking lot under complex conditions. Based on this model, considering the impact of different traffic flows during operation, the queuing model and the stopping delay model were established respectively. The mutual influence of different traffic flows is revealed and the queuing model, along with the stopping delay model, is established. Based on the field survey data, the authors calibrated the key parameters of the model and verified the validity of the model. The result shows that the model is suitable for the analysis and evaluation of the traffic operation status of the entrance of the parking lot under different conditions and provides a reference for the actual project.
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Supplemental Notes:
- © 2021 American Society of Civil Engineers.
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Authors:
- Li, Jie
- Chen, Si-yu
- Guo, Hao
- Zhao, De-qiang
- Zhang, Yong-gang
- Publication Date: 2021-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 73-81
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Serial:
- Journal of Highway and Transportation Research and Development (English Edition)
- Volume: 15
- Issue Number: 2
- Publisher: Research Institute of Highway, Ministry of Transport
- EISSN: 2095-6215
- Serial URL: http://ascelibrary.org/journal/jhtrcq
Subject/Index Terms
- TRT Terms: Complex systems; Off street parking; Parking lots; Queuing theory; Stopped time delays; Traffic flow
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01784053
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Oct 1 2021 10:05AM