Paper Info
Title
Iterative Tuning strategy for setting phase splits in traffic signal control
Abstract
This paper introduces Iterative Tuning (IT) strategy for urban traffic signal control. This strategy is motivated by people's daily repetitive travel patterns between homes and working places. Statistical analysis of a real traffic network shows that traffic flows of junctions are repetitive with small variations on a weekly basis. The main idea of IT is that, daily traffic signal schedules are tuned with anticipation of traffic demands. In this paper, only phase split is tuned iteratively to balance the traffic demands from all directions in a junction. Each junction has its own controller and these controllers can work cooperatively to improve the network performance after several iterations. Therefore IT strategy is scalable for arbitrary large urban networks. Marina Bay and Clementi areas in Singapore based on real traffic data are simulated and simulation results show that IT strategy can improve the performance considerably comparing with fixed-time strategy.
Year
DOI
Venue
2014
10.1109/ITSC.2014.6958083
ITSC
Keywords
Field
DocType
control system synthesis,iterative methods,road traffic control,statistical analysis,clementi,it strategy,marina bay,singapore,iterative tuning strategy,phase splits setting,repetitive travel patterns,traffic demand,urban traffic signal control
Traffic generation model,Synchronization,Control theory,Simulation,Control theory,InSync adaptive traffic control system,Adaptive control,Adaptive traffic control,Engineering,Sydney Coordinated Adaptive Traffic System,Network performance
Conference
Citations 
PageRank 
References 
3
0.46
7
Authors
5
Name
Order
Citations
PageRank
Yu Wang1325.79
Danwei Wang21529175.13
Nan Xiao3345.97
Yitong Li4447.98
Emilio Frazzoli53286229.95