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Author:

Shao, Juan (Shao, Juan.) | Sun, Chao (Sun, Chao.) | Rong, Jian (Rong, Jian.) (Scholars:荣建) | Cheng, Lin (Cheng, Lin.)

Indexed by:

EI Scopus

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. © Springer Nature Singapore Pte Ltd. 2019.

Keyword:

Intelligent vehicle highway systems Travel time Intelligent systems Functions Traffic congestion

Author Community:

  • [ 1 ] [Shao, Juan]Traffic Engineering Association, Floor 6, Building 3, Area 4, Hanwei International Plaza, Fengtai District, Beijing; 100071, China
  • [ 2 ] [Sun, Chao]School of Transportation, Southeast University, Nanjing; 210096, China
  • [ 3 ] [Sun, Chao]NEXTRANS Center, Purdue University, West Lafayette; 47906, United States
  • [ 4 ] [Rong, Jian]Traffic Engineering Association, Floor 6, Building 3, Area 4, Hanwei International Plaza, Fengtai District, Beijing; 100071, China
  • [ 5 ] [Rong, Jian]College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Cheng, Lin]School of Transportation, Southeast University, Nanjing; 210096, China

Reprint Author's Address:

  • [shao, juan]traffic engineering association, floor 6, building 3, area 4, hanwei international plaza, fengtai district, beijing; 100071, china

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Source :

ISSN: 1876-1100

Year: 2019

Volume: 503

Page: 157-166

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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