A Modified Cellular Automaton Model for Accounting for Traffic Behaviors during Signal Change Intervals
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
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Supplemental Notes:
- © 2018 Chih-Cheng Hsu and Yu-Chiun Chiou.
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Authors:
- Hsu, Chih-Cheng
- Chiou, Yu-Chiun
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 12p
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Serial:
- Journal of Advanced Transportation
- Volume: 2018
- Issue Number: Content ID 8961454
- Publisher: John Wiley & Sons, Incorporated
- ISSN: 0197-6729
- EISSN: 2042-3195
- Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Behavior; Drivers; Signalized intersections; Speed; Traffic flow; Traffic signal control systems; Yellow interval (Traffic signal cycle)
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01673637
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 26 2018 10:11AM