Abstract
City intersection traffic signal control is an important method to improve the efficiency of road network and alleviate traffic congestion. This paper researches traffic signal fuzzy control method on a single intersection. A two-stage traffic signal control method based on traffic urgency degree is proposed according to two-stage fuzzy inference on single intersection. At the first stage, calculate traffic urgency degree for all red phases using traffic urgency evaluation module and select the red light phase with large traffic urgency as the next phase to switch. At the second stage, green delay of the current green phase is determined by fuzzy inference based on the amount of vehicles of current green phase and next green phase. The average vehicle delays are used to evaluate the performance of the fuzzy signal controller. Finally, comparisons have been made with pretimed controller and fuzzy logic controller without considering the urgency of red phase. Simulation results show the performance of our proposed method.
Highlights
The monitoring and control of city traffic are becoming a major problem in many countries
The comparisons have been made with pretimed controller and fuzzy logic controller without considering the urgency of red phase
This paper has analyzed the deficiency of existing fuzzy controller and put forward the strategies of improving fuzzy control based on traffic urgency degree
Summary
The monitoring and control of city traffic are becoming a major problem in many countries. With the ever increasing number of vehicles on the road, the traffic monitoring authority has to find new ways or measures for overcoming such a problem. Pretimed control is based on preset signal timings and nonresponsive to real-time fluctuations in the traffic demand. Traffic-actuated control presents an improvement over pretimed control, but it has limited ability to respond to real-time traffic demand. For an intersection with actuated control, performance generally deteriorates with heavy traffic conditions and the proportion of stopped vehicles is generally high. Adaptive controllers are designed to address these deficiencies, as they have the ability to make real-time adjustments to signal settings in response to both observed and predicted real-time traffic demands
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