Decentralized scheme for real-time optimization of traffic signals

I. Porche, M. Sampath, R. Sengupta, Y. L. Chen, S. Lafortune

Research output: Contribution to conferencePaperpeer-review

38 Scopus citations

Abstract

A real time, highly decentralized, adaptive traffic signal optimization method, ALLONS-D, based on the Rolling Horizon Dynamic Programming technique, is presented in this paper. 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.

Original languageEnglish (US)
Pages582-589
Number of pages8
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Control Applications - Dearborn, MI, USA
Duration: Sep 15 1996Sep 18 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Control Applications
CityDearborn, MI, USA
Period9/15/969/18/96

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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