Chapter
Aug 12, 2020
A Simulation of the Impact of Curb Parking Behavior on Traffic Based on a Cellular Automata Model
Authors: Yue Zhang [email protected], Dewen Kong [email protected], and Lishan Sun [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
To analyze the disturbance mechanism of the curb parking behavior on the dynamic traffic volume, we examined the typical curb parking belt in the non-mixed lane. We established the cellular automata model of mixed urban traffic volume considering the curb parking belt based on the conventional NaSch cellular automata model. In the model, we added rules for driving in and out of belts, rules for lane changing and rules for acceleration and deceleration. We then investigated the effects of traffic flow, lane change probability, and parking demand ratio on road traffic flow using our simulation. The results show that parking ratio has a greater impact on the traffic speed than the lane change probability. In addition, the vehicle lanes coordinate with each other and the traffic density eventually tends to equilibrium.
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Published In
CICTP 2020
Pages: 3413 - 3424
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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Authors
Affiliations
1Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
2Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
3Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.