The traffic assignment problem is known as an optimization problem with a non-linear objective function and linear constraints, which allows one to estimate traffic congestion in an urban road network. Very early ideas on solving the traffic assignment problem concerned the concept of the existence of an equilibration operator. Such an operator was assumed to return assignment patterns that provide equal travel times on used routes between an origin-destination pair. Despite attempts to express this operator mathematically the first successful implementation of the idea came from computational techniques. The concept appeared to be fruitful and easy to apply from a computational perspective. Recently, a mathematical expression of the equilibration operator was found that generalized some of the previously obtained results. In the present paper, we discuss this operator and itemize key points to be paid attention to in the context of the equilibration operator application. Moreover, we demonstrate that the found operator, when applied to the problem, behaves very typically for path-equilibration techniques. The main advantage of the explicit form of the operator is the high accuracy of the solution. We believe this paper can clarify the matter and give fresh insights to traffic engineers. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Original languageEnglish
Title of host publication13th Computer Science Online Conference, CSOC 2024
PublisherSpringer Nature
Pages526-535
Number of pages10
ISBN (Print)9783031702990
DOIs
StatePublished - 2024
Event13th Computer Science On-line Conference 2024 -
Duration: 1 Apr 2024 → …

Publication series

NameLecture Notes in Networks and Systems
Volume1119
ISSN (Print)2367-3370

Conference

Conference13th Computer Science On-line Conference 2024
Period1/04/24 → …

    Research areas

  • equilibration operator, traffic flow assignment, user-equilibrium, Air traffic control, Highway traffic control, Mathematical operators, Motor transportation, Optimization, Street traffic control, Traffic congestion, Transportation routes, Urban transportation, Equilibration operator, Linear constraints, Nonlinear objective functions, Objective function constraints, Optimization problems, Traffic assignment problem, Traffic flow assignment, Travel-time, Urban road networks, User equilibrium, Travel time

ID: 127213777