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Simulation and Analysis of Control Strategies of Traffic Lightswith Indeterminate Information

XING Yumei, WANG Kangping, LIU Yuqiu, ZHAO Sen, WANG Jianyu, GUO Dongwei, ZHOU Chunguang   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2006-12-11 Revised:1900-01-01 Online:2007-09-26 Published:2007-09-26
  • Contact: ZHOU Chunguang

Abstract: Based on the Green Light District (GLD) simulator of tr affic, several control strategies of traffic lights were implemented. The analysi s was focused on Longest Queue, Relative Longest Queue, Reinforcement Learning, SARSA and GA control strategies. Under three different states of the traffic flo w, i.e., undersaturatedtraffic, intermediatesaturated traffic and oversaturated traffic, simulation was completed separately. The different performances between these traffic control strategies were researched for the determinate and indeterminate information of traffic flow, and the data of analysis were given. The experiment data shows, about traffic flow information, the global control strategies are more susceptive than the local ones. They require the veracity of the traffic flow information.

Key words: traffic lights, control strategy, indeterminate information

CLC Number: 

  • TP18