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


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MPC design for traffic guidance system with consideration ofmanagement requirement and user acceptability
Luo LihuaZhang FangweiChen Jihong
School of Transport and Communications,Shanghai Maritime University,Shanghai 201306,China
traffic guidance control model predictive control management requirement user acceptability
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.


[1] 杨兆升.城市道路交通系统智能协同理论与实施方法[M].北京:中国铁道出版社,2002.
[2]Mammar S,Messmer A,Jensen P,et al.Automatic control of variable message signs in Aalborg[J].Transportation Research Part C-Emerging Technologies,1996,4(3):131-150.
[3]Baskar L D,Schutter B D,Hellendoorn H.Optimal routing for automated highway systems[J].Transportation Research Part C-Emerging Technologies,2013,30:1-22.
[4]Jindahra P,Choocharukul K.Shortrun diversion:A empirical investigation into variable message sign design and policy experiments[J].IEEE Transactions on Intelligent Transportation Systems,2013,14(1):388-397.
[5]Zhou Shiquan,Zhou Lizhen,Ma Shoufeng,et al.Guidance compliance behaviors of drivers under different information release modes on VMS[J].Information Sciences,2014,289:117-132.
[6]Kotsialos A,Papageorgiou M,Mangeas M,et al.Coordinated and integrated control of motorway networks via non-linear optimal control[J].Transportation Research Part C-Emerging Technologies,2002,10(1):65-84.
[7]Wang Y B,Papageorgiou M,Messmer A.Predictive feedback routing control strategy for freeway network traffic[J].Journal of the Transportation Research Record,2003,1856(1):62-73.
Zhou Yonghua.Study on the simulation of traffic navigation predictive control[J].Control and Decision,2009,24(12):1869-1872.
[9]Xu T D,Sun L J,Peng Z R,et al.Integrated route guidance and ramp metering consistent with drivers’en-route diversion behavior[J].IET Intelligent Transport Systems,2011,5(4):267-276.
[10]He Zhengbing,Guan Wei,Ma Shoufeng.A traffic-condition-based route guidance strategy for a single destination road network[J].Transportation Research Part C-Emerging Technologies,2013,32:89-102.
[11]Spiliopoulou A,Kontorinaki M,Papamichai L I,et al.Real-time route diversion control at congested off-ramp areas-Part II Route guidance versus off-ramp closure[J].Procedia-Social and Behavioral Sciences,2014,111(5):1102-1111.
[12]Messmer A,Papageorgiou M.Route diversion control in motorway networks via nonlinear optimization[J].IEEE Transactions on Control Systems Technology,1995,3(1):144-154.
[13]Paz A,Peeta S.Behavior-consistent real-time traffic routing under information provision[J].Transportation Research Part C-Emerging Technologies,2009,17(6):642-661.
Sun Weili,Li Ping,Wang Hui.Optimal on-off control of VMS for highway route guidance[J].Journal of Shanghai Jiaotong University,2011,45(8):1246-1250.
Ma Shoufeng,Bu Junfeng,Zhang Anxun.Game-based coordination method between system optimum and user equilibrium in route guidance system[J].Journal of System Engineering,2006,20(1):30-37.
Li Shaoyuan.Model-based predictive control for industrial process-A survey[J].Control Engineering of China,2010,17(4):407-414.
[18]Mayne D Q,Rawlings J B,Rao C V,et al.Constrained model predictive control:Stability and optimality[J].Automatic,2000,36(6):789-814.
[19]Frejo J R D,Camacho E F,Horowitz R.A parameter identification algorithm for the Metanet model with a limited number of loop detectors[C]//IEEE Conference on Decision and Control.Maui,Hawaii,US:IEEE,2012:6983-6988.
[20]Spiliopoulou A,Papamichail I,Papageorgiou M,et al.Macroscopic traffic flow model calibration using different optimization algorithms[J].Transportation Research Procedia,2015,6:144-157.
[21]Fontes F A C C.A general framework to design stabilizing nonlinear model predictive controllers[J].Systems & Control Letters,2001,42(2):127-143.
[22]Jadbabaie A,Hauser J.On the stability of receding horizon control with a general terminal cost[J].IEEE Transactions on Automatic Control,2005,50(5):674-678.
[23]Diehl M,Amrit R,Rawlings J B.A Lyapunov function for economic optimizing model predictive control[J].IEEE Transactions on Automatic Control,2011,56(3):703-707.
[24]Zheng Tao.Model predictive control[M].Rejeka,Croatia:Sciyo,2010.
[25]Taillard E,Badeau P,Gendreau M.A tabu search heuristic for the vehicle routing problem with soft time windows[J].Transportation Science,1997,31(2):170-186.
[27]Luo L H,Ge Y E,Zhang F W,et al.Real-time route diversion control in a model predictive control framework with multiple objectives:Traffic efficiency,emission reduction and fuel economy[J].Transportation Research Part D:Transport and Environment,2016,48:332-356.


Last Update: 2017-04-30