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- W638260276 abstract "In this paper, the authors investigate an area-based pricing scheme for congested multimodal urban networks with the consideration of user heterogeneity. The authors propose a time-dependent pricing scheme where the tolls are iteratively adjusted through a Proportional-Integral type feedback controller, based on both the level of congestion and user’s adaptation to the toll cost. The level of congestion is represented by a macroscopic traffic model, the Macroscopic Fundamental Diagram, which has been recently applied to develop network-level traffic management strategies. Within this pricing scheme, the authors differentiate two groups of users with respect to their value-of-time, and integrate incentives to motivate mode shift and increase the efficiency of pricing such as improving public transport services or return part of the toll to some users. The proposed pricing strategies are tested in a case study of the Sioux Fall network using an agent-based simulator. Appealing results are revealed: (i) the proposed pricing scheme is highly effective in congestion reduction, (ii) comparing to similar pricing schemes in literature, the proposed one is more flexible in toll adjustment as it takes user adaptation into account, and shows a smooth behavioral stabilization in long-term operation, (iii) significant differences are found in behavioral responses between the two groups of users, (iv) integrating incentive programs using the collected toll revenue, pricing strategies can achieve substantial welfare gain and (v) by realizing user heterogeneity, pricing strategies can be designed for equitable savings among the users." @default.
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- W638260276 date "2015-01-01" @default.
- W638260276 modified "2023-09-26" @default.
- W638260276 title "Area-Based Pricing Scheme for Multimodal Systems and Heterogeneous Users in an Agent-based Environment" @default.
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