Title: Stepwise genetic fuzzy logic signal control under mixed traffic conditions
Authors: Chiou, Yu-Chiun
Huang, Yen-Fei
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
Keywords: adaptive signal control;genetic fuzzy logic controller;stepwise learning algorithm;mixed cell transmission model
Issue Date: 1-Jan-2013
Abstract: This paper proposes a stepwise genetic fuzzy logic controller (SGFLC) by considering traffic flows and queue lengths of cars and motorcycles as state variables and extension of green time as control variable, towards the minimization of total vehicle delays. For the learning efficiency of SGFLC and the capability in capturing traffic behaviors of Asian urban streets, where mixed traffic of cars and motorcycles are prevailing, the mixed traffic cell transmission model (MCTM) is introduced to replicate traffic behaviors. To investigate the control performance of the proposed SGFLC model, comparisons with two pre-timed timing plans and three adaptive signal timing models are conducted at an isolated intersection. Results show our proposed SGFLC model performs best. Moreover, as traffic flows vary more noticeably, the SGFLC model performs even better. In the experimental and field cases of three-intersection arterial under four coordinated signal systems, namely simultaneous, progressive, alternate and independent, both cases consistently show that the proposed SGFLC model perform best, suggesting that the proposed SGFLC signal control model is efficient and robust. Copyright (c) 2012 John Wiley & Sons, Ltd.
URI: http://dx.doi.org/10.1002/atr.1205
http://hdl.handle.net/11536/21092
ISSN: 0197-6729
DOI: 10.1002/atr.1205
Journal: JOURNAL OF ADVANCED TRANSPORTATION
Volume: 47
Issue: 1
Begin Page: 43
End Page: 60
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