DocumentCode :
2373616
Title :
A decentralized scheme for real-time optimization of traffic signals
Author :
Porche, I. ; Sampath, M. ; Sengupta, R. ; Chen, Y.-L. ; Lafortune, S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fYear :
1996
fDate :
15-18 Sep 1996
Firstpage :
582
Lastpage :
589
Abstract :
A real time, highly decentralized, adaptive traffic signal optimization method, ALLONS-D, based on the rolling horizon dynamic programming technique, is presented. We describe the basic architecture, the system model, and the optimization scheme of ALLONS-D. We compare ALLONS-D with other approaches to signal control via several sets of simulation results. The margins of improvement are significant when compared with the standard Webster´s criteria for signal setting. The feasibility of on-line implementation of ALLONS-D is discussed as well as on-going evaluations and extensions
Keywords :
adaptive control; decentralised control; dynamic programming; road traffic; traffic control; ALLONS-D; decentralized scheme; real-time optimization; rolling horizon dynamic programming technique; signal control; traffic signals; Adaptive systems; Centralized control; Communication system traffic control; Control systems; Dynamic programming; Optimization methods; Power system management; Signal design; Traffic control; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2975-9
Type :
conf
DOI :
10.1109/CCA.1996.558925
Filename :
558925
Link To Document :
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