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