Type-2 fuzzy logic based urban traffic management

Engineering Applications of Artificial Intelligence

Volumn 24, Issue 1, 2011, Pages 12-22

  Balaji, P G ^a   Srinivasan, D ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Distributed architecture; Multi agent system; PARAMICS; Traffic signal control; Type 2 fuzzy logic

Indexed keywords

AGENT ARCHITECTURES; CENTRAL BUSINESS DISTRICTS; DISTRIBUTED AGENTS; DISTRIBUTED ARCHITECTURE; FUZZY DECISION; HIERARCHICAL MULTI-AGENT SYSTEM; HYBRID NEURAL NETWORKS; MEAN DELAYS; MULTI-AGENT; MULTI-AGENT CONTROLLERS; MULTIPLE-PEAK; PARAMICS; PARAMICS SOFTWARE; PERFORMANCE METRICS; ROAD NETWORK; SIGNAL CONTROL; SINGAPORE; TRAFFIC CONDITIONS; TRAFFIC CONTROLLERS; TRAFFIC SIGNAL CONTROL; TRAVEL TIME; TYPE-2 FUZZY LOGIC; TYPE-2 FUZZY SET; URBAN ROAD NETWORKS; URBAN TRAFFIC MANAGEMENT;

ADAPTIVE CONTROL SYSTEMS; CONTROLLERS; EQUIPMENT TESTING; FUZZY LOGIC; FUZZY SETS; HIGHWAY TRAFFIC CONTROL; MOTOR TRANSPORTATION; MULTI AGENT SYSTEMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; ROADS AND STREETS; SOFTWARE AGENTS; STREET TRAFFIC CONTROL; VEHICLES;

TRAFFIC SIGNALS;

EID: 78649652022     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.08.007     Document Type: Article

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