Traffic Behaviors of Mixed Bicycle System in the Multi-Value Cellular Automata Model

Bin Jia (), Xin-Gang Li, Rui Jiang () and Zi-You Gao ()
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Bin Jia: Beijing Jiaotong University, School of Traffic and Transportation
Xin-Gang Li: Beijing Jiaotong University, School of Traffic and Transportation
Rui Jiang: University of Science and Technology of China, School of Engineering Science
Zi-You Gao: Beijing Jiaotong University, School of Traffic and Transportation

A chapter in Traffic and Granular Flow ’07, 2009, pp 339-350 from Springer

Abstract: Summary In this paper, the traffic behaviors of mixed bicycle flow are investigated by using the multi-value cellular automata (CA) model. Two types of bicycles with different maximum speed are considered in the system. The system of mixed bicycles is investigated under both periodic and open boundary conditions. As to periodic boundary condition, it is shown that under the deterministic case there appear multiple states both in congested flow and free flow regions. Analytical analysis is carried out and is in good agreement with the simulation results. In the stochastic case, the multiple states effect disappears only when both slow and fast bicycles are randomized. As to open boundary condition, the flux in saturated state will not change with different proportion of slow bicycle if only the slow bicycle has randomization effect, but in other cases, they decrease as the proportion of slow bicycle increasing. Spacetime plots are presented to show the evolution of mixed bicycle flow.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-77074-9_35

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DOI: 10.1007/978-3-540-77074-9_35

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