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Model-based dynamic toll pricing scheme for a congested suburban freeway with multiple access locations
| 题名： | Model-based dynamic toll pricing scheme for a congested suburban freeway with multiple access locations |
| 正文语种： | eng |
| 作者： | Claudio Lombardi;Anuradha M. Annaswamy;Luis Picado-Santos |
| 作者单位： | CERIS Instituto Superior Tecnico Universidade de Lisboa Lisboa Portugal||Active Adaptive Control Laboratory Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts USA;Active Adaptive Control Laboratory Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts USA;CERIS Instituto Superior Tecnico Universidade de Lisboa Lisboa Portugal |
| 关键词： | Congestion management; driver behavior model; dynamic toll pricing; state feedback; suburban freeway; traffic flow model |
| 摘要： | In this paper we propose a novel approach for alleviating traffic congestion in freeways with multiple access locations through the use of dynamic toll pricing. The pricing strategy is determined using model-based feedback control, with the underlying model derived using a combination of both traffic flow modeling and driver behavior. The traffic segment we focus on is a suburban freeway with multiple access locations. A model derived from the cell transmission method was utilized to develop the traffic flow model, with past traffic information from on-road sensors utilized for determining the model parameters. The behavior of the driver with respect to the choice of whether or not to enter the freeway segment is modeled using utility theory and the Value of Time (VOT) relative to the toll value. The proposed toll-pricing scheme is tested with traffic data from Portuguese freeway A5 and with different hypothesis on the driver's VOT distribution, showing a significant improvement of the overall traffic conditions. The algorithm developed here provides an opportunity to improve on existing toll policy by guaranteeing more stable traffic conditions for the freeway users and optimizing the overall traffic throughput. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Intelligent Transportation Systems |
| 卷： | 27 |
| 期： | 1/6 |
| 页码： | 693-720 |
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