Title :
A supervisor agent for urban traffic monitoring
Author :
Iscaro, G. ; Nakamiti, G.
Author_Institution :
Comput. Eng. Dept., PUC-Campinas, Campinas, Brazil
Abstract :
This paper presents a supervisor system for urban traffic management, which aims to reduce cars´ queues in large cities. To achieve such objective this system uses fuzzy sets to detect if a traffic-light is in trouble, case-based reasoning to match the current traffic situation with previous ones, and genetic algorithms to generate new programs for traffic-lights.
Keywords :
automobiles; case-based reasoning; fuzzy set theory; genetic algorithms; road traffic; traffic engineering computing; car queues; case-based reasoning; fuzzy sets; genetic algorithms; large cities; supervisor agent; traffic situation; traffic-light; urban traffic management; urban traffic monitoring; Artificial intelligence; Cities and towns; Fuzzy sets; Genetic algorithms; Intelligent transportation systems; Real-time systems; Traffic control; Adaptive Traffic Control; Inteligent Systems; Real Time Systems;
Conference_Titel :
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2013 IEEE International Multi-Disciplinary Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2437-3
DOI :
10.1109/CogSIMA.2013.6523842
