Using intelligent agents for pro-active, real-time urban intersection control

European Journal of Operational Research

Volumn 131, Issue 2, 2001, Pages 293-301

  Roozemond, Danko A ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Artificial intelligent agents; Control; Forecasting; Optimisation; Traffic

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; AUTOMATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; INTERSECTIONS; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS; REAL TIME SYSTEMS; STRATEGIC PLANNING; STREET TRAFFIC CONTROL; URBAN PLANNING;

AUTONOMOUS INTELLIGENT SYSTEMS; URBAN TRAFFIC CONTROL SYSTEMS;

OPERATIONS RESEARCH;

EID: 0035372285     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(00)00129-6     Document Type: Article

References (13)

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8. Self-optimising and self-organising urban traffic control systems
9. Study on traffic demand prediction methods for intelligent traffic signal control
10. Self-optimising traffic signal control using microprocessors
11. Safer signalized junction design and self-optimizing control
12. High autonomy systems: Concepts and models