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Analysis and Evaluation Model of Off-Street Parking Lot under Complex Conditions

Jie LI1( )Si-yu CHEN1Hao GUO2De-qiang ZHAO3Yong-gang ZHANG3
College of Civil Engineering, Hunan University, Changsha Hunan, 410082, China
Caupd Beijing Planning & Design Consultants Ltd, Haikou Hainan, 570203, China
Henan Xinrong Expressway Construction Co. Ltd, Yueyang Hunan 471000, China
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Abstract

The entries of off-street parking lots are the connecting points of urban dynamic traffic and static traffic. When there are signal control, 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, we establish a probability model for the conflict between different traffic flows in the area affected by the entry 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. Based on this model, 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, we calibrate 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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Journal of Highway and Transportation Research and Development (English Edition)
Pages 73-81

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Cite this article:
LI J, CHEN S-y, GUO H, et al. Analysis and Evaluation Model of Off-Street Parking Lot under Complex Conditions. Journal of Highway and Transportation Research and Development (English Edition), 2021, 15(2): 73-81. https://doi.org/10.1061/JHTRCQ.0000777

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Received: 25 March 2021
Published: 01 June 2021
© The Editorial Office of Journal of Highway and Transportation Research and Development (English Edition)