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Computational Intelligence and Neuroscience
Volume 2014, Article ID 685047, 6 pages
Research Article

A New Cellular Automaton Model for Urban Two-Way Road Networks

1College of Engineering, Zhejiang Normal University, Jinhua 321004, China
2School of Transportation, Southeast University, Nanjing 210096, China
3School of Transportation Engineering, Hefei University of Technology, Hefei 230009, China
4Wuhan Transportation Science Research Institute, Wuhan 430015, China

Received 17 July 2014; Accepted 1 September 2014; Published 4 November 2014

Academic Editor: Xiaobei Jiang

Copyright © 2014 Junqing Shi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the “gridlock” phenomenon. Simulation results show that the network fundamental diagram is very similar to that of road traffic flow. We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state. Their effect may be weak when the network is congested.