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Journal of Advanced Transportation
Volume 2018, Article ID 8961454, 12 pages
https://doi.org/10.1155/2018/8961454
Research Article

A Modified Cellular Automaton Model for Accounting for Traffic Behaviors during Signal Change Intervals

1Department of Traffic Management, Taiwan Police College, No. 153, Sec. 3, Singlong Rd., Wenshan District, Taipei 11696, Taiwan
2Department of Transportation and Logistics Management, National Chiao Tung University, 4F, No. 118, Sec. 1, Chung Hsiao W. Rd., Taipei 10044, Taiwan

Correspondence should be addressed to Chih-Cheng Hsu; moc.liamg@ush.gnehchihc

Received 12 December 2017; Revised 18 March 2018; Accepted 25 March 2018; Published 9 May 2018

Academic Editor: Luigi Dell'Olio

Copyright © 2018 Chih-Cheng Hsu and Yu-Chiun Chiou. 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.

Abstract

Previous cellular automata (CA) models have been developed for simulating driver behaviors in response to traffic signal control. However, driver behaviors during traffic signal change intervals, including cross/stop decision and speed adjustment, have not yet been studied. Based on this, this paper aims to propose a change interval CA model for replicating driver’s perception and response to amber light based on stopping probability and speed adjusting functions. The proposed model has been validated by exemplified and field cases. To investigate the applicability of the proposed model, macroscopic and microscopic analyses are conducted. Although the macroscopic fundamental diagram analysis reveals only a small decrease in maximum traffic flow rates with considering driver behaviors in change intervals, in the microscopic analysis, the proposed model can present reasonable vehicular trajectories and deceleration rates during slowdown process.