A Mixed User-Equilibrium and System-Optimal Traffic Flow for Connected Vehicles Stated as a Complementarity Problem
Artikel i vetenskaplig tidskrift, 2017

Connected vehicles (CVs), be they autonomous vehicles or a fleet of cargo carriers or Uber, are a matter of when they become a reality and not if. It is not unreasonable to think that CV technology may have a far-reaching impact, even to the genesis of a completely new traffic pattern. To this end, the literature has yet to address the routing behavior of the CVs, namely traffic assignment problem (TAP) (perhaps it is assumed, they ought to follow the traditional shortest possible paths, known as user equilibrium [UE]). It is possible that real-time data could be derived from the vehicles' communications that in turn could be used to achieve a better traffic circulation. In this article, we propose a mathematical formulation to ensure the CVs are seeking the system optimal (SO) principles, while the remainder continue to pursue the old-fashioned UE pattern. The model is formulated as a nonlinear complementarity problem (NCP). This article contributes to the literature in three distinct ways: (i) mathematical formulation for the CVs' routing, stated as a mixed UE-SO traffic pattern, is proposed; (ii) a variety of realistic features are explicitly considered in the solution to the TAP including road capacity, elastic demand, multiclass and asymmetric travel time; and (iii) formal proof of the existence and uniqueness of the solutions are also presented. The proposed methodology is applied to the networks of Sioux-Falls and Melbourne.

Market Penetration

Assignment Problem

Network Equilibrium

Traveler Information-Systems

Variational Inequality

Constraints

Link Capacity

Freeway Incident Detection

Elastic Demand

Författare

Saeed Asadi Bagloee

University of Melbourne

Majid Sarvi

University of Melbourne

Michael Patriksson

Chalmers, Matematiska vetenskaper

Göteborgs universitet

A. Rajabifard

University of Melbourne

Computer-Aided Civil and Infrastructure Engineering

1093-9687 (ISSN) 1467-8667 (eISSN)

Vol. 32 562-580

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Ämneskategorier

Transportteknik och logistik

Fundament

Grundläggande vetenskaper

DOI

10.1111/mice.12261