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Optimizing congestion and emissions via tradable credit charge and reward scheme without initial credit allocations

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  • Zhu, Wenlong
  • Ma, Shoufeng
  • Tian, Junfang

Abstract

This paper investigates the revenue-neutral tradable credit charge and reward scheme without initial credit allocations that can reassign network traffic flow patterns to optimize congestion and emissions. First, we prove the existence of the proposed schemes and further decentralize the minimum emission flow pattern to user equilibrium. Moreover, we design the solving method of the proposed credit scheme for minimum emission problem. Second, we investigate the revenue-neutral tradable credit charge and reward scheme without initial credit allocations for bi-objectives to obtain the Pareto system optimum flow patterns of congestion and emissions; and present the corresponding solutions are located in the polyhedron constituted by some inequalities and equalities system. Last, numerical example based on a simple traffic network is adopted to obtain the proposed credit schemes and verify they are revenue-neutral.

Suggested Citation

  • Zhu, Wenlong & Ma, Shoufeng & Tian, Junfang, 2017. "Optimizing congestion and emissions via tradable credit charge and reward scheme without initial credit allocations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 438-448.
    • Handle: RePEc:eee:phsmap:v:465:y:2017:i:c:p:438-448
    DOI: 10.1016/j.physa.2016.08.045
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    References listed on IDEAS

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    Cited by:

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    3. Zhang, Fang & Lu, Jian & Hu, Xiaojian, 2022. "Integrated path controlling and subsidy scheme for mobility and environmental management in automated transportation networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).

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