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Alternative tradable credit scheme on general transportation network

  • Mathematics
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

This paper designs and analyzes an alternative tradable travel credit scheme on general transportation network for managing travelers’ route choice behaviors. The scheme is a kind of charging and rewarding mechanism, which provides an attempt to urge travelers to plan their travel routes reasonably so that excessive traffic congestion can be mitigated. Mobility credits are imposed on those travelers who use high congested routes, while rewarded credits are given to those travelers who switch to the low congested routes. A free tradable market is created such that the travelers paying credits can purchase them from those earning them from the rewarding travel route choices. When the total amount of credits earned is equal to the amount of credits consumed, transfer of wealth can only take place among the travelers and hence overcome the inequity problem of congestion pricing. On the general transportation network, the type of tradable credit schemes can be formulated as a mathematical programming with equilibrium constraint (MPEC) model. Based on the model, a credit charging mechanism is obtained under the system optimum and Pareto-improving system optimum conditions.

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Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, Hubei, China

    Bingquan Liu & Chongchao Huang

  2. School of Mathematics and Information Science, Weinan Normal University, Weinan, 714000, Shaanxi, China

    Bingquan Liu

Authors
  1. Bingquan Liu
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  2. Chongchao Huang
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Corresponding author

Correspondence to Chongchao Huang.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (71231007)

Biography: LIU Bingquan, male, Ph.D. candidate, research direction: network optimization and traffic management.

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Liu, B., Huang, C. Alternative tradable credit scheme on general transportation network. Wuhan Univ. J. Nat. Sci. 19, 193–198 (2014). https://doi.org/10.1007/s11859-014-1001-9

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  • DOI: https://doi.org/10.1007/s11859-014-1001-9

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