https://doi.org/10.1140/epjb/e2007-00116-5
Multi-value cellular automata model for mixed bicycle flow
1
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, P.R. China
2
State Key Laboratory of Railway Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, P.R. China
3
School of Engineering Science, University of Science and Technology of China, Hefei, 230026, P.R. China
Corresponding author: a bjia@bjtu.edu.cn
Received:
8
December
2006
Revised:
29
January
2007
Published online:
4
May
2007
In this paper, we investigate mixed bicycle flow 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 deterministic and stochastic regimes. It is shown under the deterministic case that 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. Under the stochastic case, the multiple states effect disappears only when both slow and fast bicycles are randomized. Spacetime plots are presented to show the evolution of mixed bicycle flow.
PACS: 05.50.+q – Lattice theory and statistics / 02.50.Ey – Stochastic processes / 64.75.+g – Solubility, segregation, and mixing / 89.90+n – Other topics in areas of applied and interdisciplinary physics
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2007
