Optimal Time-Varying Pricing for Toll Roads Under Multiple Objectives: A Simulation-Based Optimization Approach

Xiang He (), Xiqun (Michael) Chen (), Chenfeng Xiong (), Zheng Zhu () and Lei Zhang ()
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Xiang He: International Aviation Division, Institute of Air Transport, China Academy of Civil Aviation Science and Technology, Beijing 100028, China
Xiqun (Michael) Chen: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Chenfeng Xiong: Department of Civil and Environmental Engineering, University of Maryland, College Park, Maryland 20742
Zheng Zhu: Department of Civil and Environmental Engineering, University of Maryland, College Park, Maryland 20742
Lei Zhang: Department of Civil and Environmental Engineering, University of Maryland, College Park, Maryland 20742

Transportation Science, 2017, vol. 51, issue 2, 412-426

Abstract: The determination of the pricing for tolled facilities always involves consideration of multiple objectives, e.g., efficiency, safety, pollution, reliability, and economy. Simulations are widely used to evaluate the performance of transportation systems as to the various objectives in response to different travel demand management policies. However, transportation simulation is usually associated with high computation costs and non-closed-form objective functions. This paper builds a simulation based optimization framework, and uses surrogate models to approximate the true simulation function. A significant amount of computation time can be saved with this method. To solve real world application problems, we develop infill strategies for multiobjective and constrained optimization problems. Using DynusT as the simulator, we optimize the toll rates for a five-segment toll road in Maryland, and successfully update the Pareto front based on initial samples for the multiobjective optimization problem. The method works even more efficiently for the constrained optimization problem. By adjusting the toll rates for the five segments, the network-wide average travel time can be reduced by 20% compared to the currently implemented toll scheme: A total of 22,250 hours can be saved in travel time for all network users in the three-hour morning peak period. Also, the toll revenue is increased by 50% compared to the baseline case.

Keywords: congestion pricing; dynamic traffic assignment; simulation based optimization; toll revenue (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (8)

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