Joint Implementation of Signal Control and Congestion Pricing in Transportation Network

The policy of jointly implementing signal control and congestion pricing in the transportation network is investigated. Bilevel programs are developed to model the simultaneous optimization of signal setting and congestion toll. The upper level aims to maximize the network reserve capacity or minimize the total travel time, subject to signal setting and toll constraints. The lower level is a deterministic user equilibrium problem given a plan of signal setting and congestion charge. Then the bilevel programs are transferred into the equivalent single level programs, and the solution methods are discussed. Finally, a numerical example is presented to illustrate the concepts and methods, and it is shown that the joint implementation policy can achieve promising results.

[1]  Xiangmin Zhang,et al.  Efficiency Comparison of Various Parking Charge Schemes Considering Daily Travel Cost in a Linear City , 2011, European Journal of Transport and Infrastructure Research.

[2]  Xiaoning Zhang,et al.  Enhancing transportation network capacity by congestion pricing with simultaneous toll location and toll level optimization , 2012 .

[3]  Xiaoning Zhang,et al.  Multiclass multicriteria mixed equilibrium on networks and uniform link tolls for system optimum , 2008, Eur. J. Oper. Res..

[4]  R E Allsop EVOLVING APPLICATION OF MATHEMATICAL OPTIMISATION IN DESIGN AND OPERATION OF INDIVIDUAL SIGNAL-CONTROLLED ROAD JUNCTIONS , 1992 .

[5]  Sam Yagar,et al.  Capacity of a signalized road junction: Critique and extensions , 1974 .

[6]  Xiaoning Zhang,et al.  Improving travel efficiency by parking permits distribution and trading , 2011 .

[7]  Xiaoning Zhang,et al.  Multiclass Network Toll Design Problem with Social and Spatial Equity Constraints , 2002 .

[8]  Hai-Jun Huang,et al.  Competitive, cooperative and Stackelberg congestion pricing for multiple regions in transportation networks , 2011 .

[9]  Hong Kam Lo,et al.  Global Optimum of the Linearized Network Design Problem with Equilibrium Flows , 2010 .

[10]  Hai Yang,et al.  Modeling Competitive Transit and Road Traffic Information Services with Heterogeneous Endogenous Demand , 2002 .

[11]  Benjamin J. Southwell,et al.  Human Object Recognition Using Colour and Depth Information from an RGB-D Kinect Sensor , 2013 .

[12]  Xiaoning Zhang,et al.  Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city , 2008 .

[13]  Richard E. Allsop,et al.  Estimating the traffic capacity of a signalized road junction , 1972 .

[14]  Hai Yang,et al.  Traffic assignment and signal control in saturated road networks , 1995 .

[15]  Sam Yagar,et al.  MINIMIZING DELAYS FOR TRANSIENT DEMANDS WITH APPLICATION TO SIGNALIZED ROAD JUNCTIONS , 1977 .

[16]  Bin He,et al.  Swimming behavior analysis based on bacterial chemotaxis in solution , 2012 .

[17]  Xiaoning Zhang,et al.  Optimal Toll Design in Second-Best Link-Based Congestion Pricing , 2003 .

[18]  Xiaoning Zhang,et al.  The optimal cordon-based network congestion pricing problem , 2004 .

[19]  Shing Chung Josh Wong,et al.  Reserve capacity of a signal-controlled road network , 1997 .

[20]  Xiaoning Zhang,et al.  Modeling private highways in networks with entry–exit based toll charges , 2004 .

[21]  Hai Yang,et al.  Managing network mobility with tradable credits , 2011 .

[22]  M. Bell STOCHASTIC USER EQUILIBRIUM ASSIGNMENT IN NETWORKS WITH QUEUES , 1995 .