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

Chih Cheng Hsu*, Yu-Chiun Chiou

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

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.

Original languageEnglish
Article number8961454
JournalJournal of Advanced Transportation
Volume2018
DOIs
StatePublished - 1 Jan 2018

Fingerprint Dive into the research topics of 'A Modified Cellular Automaton Model for Accounting for Traffic Behaviors during Signal Change Intervals'. Together they form a unique fingerprint.

  • Cite this