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MPC design for traffic guidance system with consideration ofmanagement requirement and user acceptability(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2017年02期
Page:
245-
Research Field:
Publishing date:

Info

Title:
MPC design for traffic guidance system with consideration ofmanagement requirement and user acceptability
Author(s):
Luo LihuaZhang FangweiChen Jihong
School of Transport and Communications,Shanghai Maritime University,Shanghai 201306,China
Keywords:
traffic guidance control model predictive control management requirement user acceptability
PACS:
TP273
DOI:
10.14177/j.cnki.32-1397n.2017.41.02.017
Abstract:
In order to design the variable message sign(VMS)control strategy for the traffic guidance system,the influence of the VMS control signal on the driver route-choice behaviour is discussed based on the macroscopic Metanet traffic flow model,and the state-space model for the network routing control is established.Then the VMS control strategy is designed in the model predictive control(MPC)framework,in which the total time spent(TTS)of all the vehicles and the switching performance of the VMS signal are considered as the objective function,and the user acceptance with the VMS route recommendation is introduced as the constraint.Both the requirements of the system optimal from traffic management and the user acceptance with the recommended route from the VMS are taken into account.Finally,the two loop searching algorithm based on the tabu search(TS)in the parallel computing(PC)is designed to solve the MPC routing control strategy,and the parallel computing is utilized to guarantee the real-time implementation of MPC control.The simulation results show that the proposed routing control strategy can relieve congestion,improve network capacity,and perform anti-jamming to system stochastic disturbances.Compared to the system-optimal-based routing strategy and the user-equilibrium-based routing strategy,the proposed strategy can meet the requirements of traffic management,balance the network flow distribution,decrease the user’s total time delay,and improve the user’s satisfaction with the route guidance system.

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Last Update: 2017-04-30