Title :
Oversaturated adjacent intersections control based on multi-Objective compatible control algorithm
Author :
Chen, Juan ; Xu, Lihong ; Yang, Xiaoguang ; Yuan, Changliang
Author_Institution :
Tongji Univ., Shanghai
fDate :
Sept. 30 2007-Oct. 3 2007
Abstract :
This paper propose an IPNSGA-II based multi-objective compatible control algorithm to control oversaturated adjacent junctions. The concept of feeding delay and non-feeding delay is introduced; A BPNN method is used to set up a MIMO delay model based on the simulated data got from cell transmission model. Then, the control problem is formulated as an conflicted multi-objective control problem, and the IPNSGA-II based multi-objective compatible control algorithm is proposed to solve the control problem. Results show that the proposed algorithm is robust and capable of dealing with real-time oversaturated adjacent junctions control problem. The algorithm is tested in a network consisting of a core area of 11 oversaturated junctions. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated junction control strategy.
Keywords :
MIMO systems; backpropagation; delays; neural nets; road traffic; traffic control; BPNN method; IPNSGA-II; MIMO delay model; adjacent junctions control problem; cell transmission model; multiobjective compatible control; multiobjective control problem; nonfeeding delay; oversaturated adjacent intersections control; oversaturated adjacent junctions; Cities and towns; Communication system traffic control; Control systems; Delay; Intelligent transportation systems; Optimization methods; Robust control; Testing; Timing; Traffic control;
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1396-6
Electronic_ISBN :
978-1-4244-1396-6
DOI :
10.1109/ITSC.2007.4357674
