Abstract:
This paper proposes a multiobjective optimization method for signal control design at intersections in urban traffic network. The cell transmission model is employed for ...Show MoreMetadata
Abstract:
This paper proposes a multiobjective optimization method for signal control design at intersections in urban traffic network. The cell transmission model is employed for macroscopic simulation of the traffic. Additional rules are introduced to model different route choices from origins to destinations. Vehicle turning, merging, and diverging behaviors at intersections are considered. A multiobjective optimization problem (MOP) is formulated considering four measures in network traffic performance, i.e., maximizing system throughputs, minimizing traveling delays, enhancing traffic safety, and avoiding spillovers. The design parameters for an intersection include turning signal type, cycle time, signal offset, and green time in each phase. The resulting high-dimensional MOP is solved with the genetic algorithm (GA). An algorithm is proposed to assist the user to select and implement the optimal designs from the Pareto optimal solution set. A case study in a grid network of nine intersections is carried out to test the optimization algorithm. It is observed that the proposed method is able to achieve the optimal network performance with different traffic demands. The convergence and coefficient selection of GA are discussed. The guidelines for network signal design and operation from the current studies are presented.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 19, Issue: 11, November 2018)
Funding Agency:
College of Sciences, Northeastern University, Shenyang, China
Xiang Li received the bachelor’s degrees in engineering mechanics and engineering management and the Ph.D. degree in mechanics from Tianjin University in 2012 and 2017, respectively. He is currently a Lecturer with the College of Sciences, Northeastern University, China. His research interests include deep learning, multiobjective optimization, and intelligent transportation systems.
Xiang Li received the bachelor’s degrees in engineering mechanics and engineering management and the Ph.D. degree in mechanics from Tianjin University in 2012 and 2017, respectively. He is currently a Lecturer with the College of Sciences, Northeastern University, China. His research interests include deep learning, multiobjective optimization, and intelligent transportation systems.View more
Tianjin University, Tianjin, China
Jian-Qiao Sun received the Ph.D. degree in mechanical engineering from the University of California at Berkeley, Berkeley, CA, USA, in 1988. He is currently a Professor with the School of Engineering, University of California, Merced, CA, USA. He has authored a book Stochastic Dynamics and Control and a large number of research papers. His research interests include stochastic nonlinear dynamics, cell mapping methods, mul...Show More
Jian-Qiao Sun received the Ph.D. degree in mechanical engineering from the University of California at Berkeley, Berkeley, CA, USA, in 1988. He is currently a Professor with the School of Engineering, University of California, Merced, CA, USA. He has authored a book Stochastic Dynamics and Control and a large number of research papers. His research interests include stochastic nonlinear dynamics, cell mapping methods, mul...View more
Contents College of Sciences, Northeastern University, Shenyang, China
Xiang Li received the bachelor’s degrees in engineering mechanics and engineering management and the Ph.D. degree in mechanics from Tianjin University in 2012 and 2017, respectively. He is currently a Lecturer with the College of Sciences, Northeastern University, China. His research interests include deep learning, multiobjective optimization, and intelligent transportation systems.
Xiang Li received the bachelor’s degrees in engineering mechanics and engineering management and the Ph.D. degree in mechanics from Tianjin University in 2012 and 2017, respectively. He is currently a Lecturer with the College of Sciences, Northeastern University, China. His research interests include deep learning, multiobjective optimization, and intelligent transportation systems.View more
Tianjin University, Tianjin, China
Jian-Qiao Sun received the Ph.D. degree in mechanical engineering from the University of California at Berkeley, Berkeley, CA, USA, in 1988. He is currently a Professor with the School of Engineering, University of California, Merced, CA, USA. He has authored a book Stochastic Dynamics and Control and a large number of research papers. His research interests include stochastic nonlinear dynamics, cell mapping methods, multiobjective optimization, and traffic modeling and control.
Jian-Qiao Sun received the Ph.D. degree in mechanical engineering from the University of California at Berkeley, Berkeley, CA, USA, in 1988. He is currently a Professor with the School of Engineering, University of California, Merced, CA, USA. He has authored a book Stochastic Dynamics and Control and a large number of research papers. His research interests include stochastic nonlinear dynamics, cell mapping methods, multiobjective optimization, and traffic modeling and control.View more
