NDLI: A real-time local signal control methodology for alleviating incident-induced traffic congestion on arterials

Content Provider	IEEE Xplore Digital Library
Author	Jiuh-Biing Sheu Yi-Hwa Chou Mei-Chuan Weng
Copyright Year	2002
Description	Author affiliation: Inst. of Traffic & Transp., Nat. Chiao Tung Univ., Taipei, Taiwan (Jiuh-Biing Sheu)
Abstract	This paper presents a real-time local signal control method which serves to alleviate incident-induced traffic congestion on the roadway between two adjacent intersections. The proposed approach includes two major parts: (1) a discrete-time non-linear stochastic model which denotes the time-varying relationships of lane traffic state variables and control variables under conditions of lane-blocking incidents, and (2) a real-time control algorithm for dynamically predicting control variables. To generate efficiently traffic data used in model tests, we employed the Paramics microscopic traffic simulator, which is developed to model and analyze ITS traffic flow conditions. The preliminary test results indicate the superiority of the proposed real-time signal control method in comparison with fixed-time signal control modes which are presently used at the study site. It is expected that this study can stimulate research on incident management, and extend to network-wide incident responsive traffic control for the development of advanced traffic management systems (ATMS).
Starting Page	762
Ending Page	767
File Size	349909
Page Count	6
File Format	PDF
ISBN	0780373898
DOI	10.1109/ITSC.2002.1041315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Testing Communication system traffic control Research and development management Stochastic processes Predictive models Heuristic algorithms Prediction algorithms Microscopy Analytical models
Content Type	Text
Resource Type	Article

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