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Pareto-Improving User Equilibrium Model Under Tradable Credit and Link Capacity Constraints

  • Juan Shao
  • Chao Sun
  • Jian Rong
  • Lin Cheng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)

Abstract

This chapter presents a user equilibrium model under tradable credit and link capacity constraints (UE-CC) that explicitly considers the characteristics of congested roads in urban traffic network. This model hypothesizes that for each origin-destination (OD) pair no traveler can reduce his/her generalized travel cost by unilaterally changing paths. To obtain the total amount of credits, credit charges on each link and credit cost, this chapter extends the UE-CC model to a Pareto-improving user equilibrium model under tradable credit and link capacity constraints (PUE-CC). This new model uses minimization of system optimal travel time as the objective function and uses the nonlinear complementarity functions of route travel time, route credit cost and route congested delay as the constraints. A relaxation algorithm is developed to solve the PUE-CC model. Numerical examples illustrate the essential ideas of the PUE-CC model and the applicability of the designed solution algorithm.

Keywords

Traffic congestion User equilibrium model Pareto-improving Tradable credit scheme Capacity constraints Relaxation algorithm 

Notes

Acknowledgements

This research is supported by the National Natural Science Foundation of China (No. 51578150, No. 51378119), and the China Scholarship Council (CSC) Program.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Traffic Engineering AssociationBeijingChina
  2. 2.School of TransportationSoutheast UniversityNanjingChina
  3. 3.NEXTRANS Center, Purdue UniversityWest LafayetteUSA
  4. 4.College of Metropolitan TransportationBeijing University of TechnologyBeijingChina

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