A semi-autonomous decentralized system for controlling street traffic signals

Author

Findler, Nicholas V. ; Surender, Sudeep ; Catrava, Serban

Author_Institution

Dept. of Comput. Sci., Arizona State Univ., Tempe, AZ, USA

fYear

1995

fDate

25-27 Apr 1995

Firstpage

377

Lastpage

383

Abstract

Our work is based on distributed and knowledge-based methodology for real-time control of street and highway ramp signals. After a running prototype system that proved the feasibility of the approach, we have now completed the first part of a complex, two-phase learning program of the traffic control regime. It produces optimum local (intersection) control of signals in steady-state traffic scenarios. With appropriate communication between adjacent intersections, we should obtain an optimum, global, reactive and predictive control regime of the semi-autonomous, decentralized system

Keywords

decentralised control; intelligent control; knowledge based systems; learning (artificial intelligence); predictive control; road traffic; signalling; traffic control; distributed methodology; highway ramp signals; knowledge-based methodology; optimum local control; predictive control; prototype system; reactive control; real-time control; semi-autonomous decentralized system; steady-state traffic; street traffic signal control; two-phase learning program; Artificial intelligence; Communication system control; Communication system traffic control; Computer science; Control systems; Laboratories; Predictive control; Prototypes; Road transportation; Steady-state; Timing; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Autonomous Decentralized Systems, 1995. Proceedings. ISADS 95., Second International Symposium on

Conference_Location

Phoenix, AZ

Print_ISBN

0-8186-7087-8

Type

conf

DOI

10.1109/ISADS.1995.398996

Filename

398996