Analysis and design of reliable control systems for urban traffic networks

2005 ◽  
Vol 36 (11) ◽  
pp. 679-688 ◽  
Author(s):  
Zhengfang Chen ◽  
Timothy Chang *
Keyword(s):  
Control Systems ◽  
Urban Traffic ◽  
Reliable Control ◽  
Traffic Networks ◽  
Analysis And Design ◽  
Urban Traffic Networks

A Fuzzy Logic Method of Traffic State Recognition on Urban Traffic Networks

2012 ◽  
Vol 546-547 ◽  
pp. 1071-1074
Author(s):  
Jian Ling Wang ◽  
Hong Bo Lai
Keyword(s):  
Fuzzy Logic ◽  
Traffic Flow ◽  
Urban Traffic ◽  
Traffic Networks ◽  
Traffic Condition ◽  
Time Length ◽  
Traffic State ◽  
Fuzzy Logic Method ◽  
Logic Method ◽  
Urban Traffic Networks

The study object is traffic flow on main road of urban traffic networks, the traffic condition is recognized by traffic flow theory and fuzzy logic method. The average space speed is a variable of the fact flow function, the road congestion degree is described by the ratio of fact flow and traffic capacity; the ratio of congestion time length and total time length is the congestion frequency. Considering congestion degree and congestion frequency, a fuzzy logic method is used to describe the traffic state by three grades: free, congestion and serious congestion. At last, the numerical example is given to analyze traffic state.

Modular Modelling for Urban Traffic Networks based on Multi-Agent Systems and Petri Nets

2018 ◽  
Author(s):  
M. Flores-Geronimo ◽  
E.G. Hernandez-Martinez ◽  
E.D. Ferreira-Vazquez ◽  
J.J. Flores-Godoy ◽  
G. Fernandez-Anaya
Keyword(s):  
Petri Nets ◽  
Urban Traffic ◽  
Traffic Networks ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Modular Modelling ◽  
Urban Traffic Networks

State estimation in urban traffic networks: A two-layer approach

2020 ◽  
Vol 115 ◽  
pp. 102616 ◽  
Author(s):  
Majid Rostami-Shahrbabaki ◽  
Ali Akbar Safavi ◽  
Markos Papageorgiou ◽  
Peyman Setoodeh ◽  
Ioannis Papamichail
Keyword(s):  
State Estimation ◽  
Urban Traffic ◽  
Traffic Networks ◽  
Urban Traffic Networks
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