Cellular automaton model for railway traffic

Authors:
KePing Li;ZiYou Gao;Bin Ning
Affiliations:
School of Traffic and Transportation, Beijing Jiaotong University, 3 Shangyuancun, Xizhimenwai, Beijing 100044, PR China;School of Traffic and Transportation, Beijing Jiaotong University, 3 Shangyuancun, Xizhimenwai, Beijing 100044, PR China;School of Traffic and Transportation, Beijing Jiaotong University, 3 Shangyuancun, Xizhimenwai, Beijing 100044, PR China
Venue:
Journal of Computational Physics
Year:
2005

Citing 1
Cited 5

A fast simulation model for traffic flow on the basis of Boolean operations

Mathematics and Computers in Simulation

Optimisation and parallelisation strategies for Monte Carlo simulation of HIV infection

Computers in Biology and Medicine
FPGA design of a cellular automaton model for railway traffic flow with GPS module

ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Distributed train-group modeling and simulation based on cellular automaton and multi-agent

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Libros-II: railway modeling with devs

Proceedings of the Winter Simulation Conference
Modeling and simulation of train movements under scheduling and control for a fixed-block railway network using cellular automata

Simulation

Quantified Score

Hi-index	31.45

Visualization

Abstract

Based on the deterministic NaSch model, we propose a new cellular automation (CA) model to simulate the railway traffic. Using the proposed CA model, we analyze the space-time diagram of traffic flow and the trajectory of train movement, etc. Our aim is to investigate the characteristic behavior of railway traffic flow. A number of simulation results demonstrate that the proposed model can be successfully used for the simulation of railway traffic. Some complex phenomena can be reproduced, such as the go-and-stop wave and the complex behavior of train movement.