Operations Research Transactions ›› 2023, Vol. 27 ›› Issue (2): 63-78.doi: 10.15960/j.cnki.issn.1007-6093.2023.02.004

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First-order splitting algorithm for multi-model traffic equilibrium problems

Maoran WANG1, Xingju CAI1, Zhongming WU2, Deren HAN3,*()   

  1. 1. School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, Jiangsu, China
    2. School of Management Science and Engineering, Nanjing University of Information Science& Technology, Nanjing 210044, Jiangsu, China
    3. School of Mathematical Sciences, Beihang University, Beijing 100191, China
  • Received:2022-05-13 Online:2023-06-15 Published:2023-06-13
  • Contact: Deren HAN E-mail:handr@buaa.edu.cn

Abstract:

In this paper, we study the multi-model traffic equilibrium problem of private transportation and public transportation, which is modeled as a separable monotonous variational inequality problem with linear inequality constraints. We propose a modified alternating direction method of multipliers in a parallel way for the linear inequality constraint problem by modifying the subproblem appropriately and adding a simple correction step. Under general hypothetical conditions, the global convergence and sublinear convergence rate of this new algorithm are proved. Applying the algorithm to the traffic equilibrium shows its effectiveness.

Key words: traffic equilibrium problems, variational inequalities, alternating direction method of multipliers, global convergence, sublinear convergence

CLC Number: