2021
DOI: 10.48550/arxiv.2105.05804
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Bridging the user equilibrium and the system optimum in static traffic assignment: how the cooperation among drivers can solve the congestion problem in city networks

Abstract: Solving the road congestion problem is one of the most pressing issues in modern cities since it causes time wasting, pollution, higher industrial costs and huge road maintenance costs. Advances in ITS technologies and the advent of autonomous vehicles are changing mobility dramatically. They enable the implementation of a coordination mechanism, called coordinated traffic assignment, among the sat-nav devices aiming at assigning paths to drivers to eliminate congestion and to reduce the total travel time in t… Show more

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Cited by 2 publications
(8 citation statements)
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“…The user equilibrium describes a state where every single driver has no gains to unilaterally deviate from the chosen route under a certain objective. However, the user equilibrium is proved to be unique and it does not conform with system optimum (Morandi 2021). In order to bridge this gap, we resort to user equilibrium under different objectives, where each objective leads to a user equilibrium.…”
Section: Methodsmentioning
confidence: 99%
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“…The user equilibrium describes a state where every single driver has no gains to unilaterally deviate from the chosen route under a certain objective. However, the user equilibrium is proved to be unique and it does not conform with system optimum (Morandi 2021). In order to bridge this gap, we resort to user equilibrium under different objectives, where each objective leads to a user equilibrium.…”
Section: Methodsmentioning
confidence: 99%
“…Consequently, coordinated route planning (CRP) stands out as a promising and popular way to overcome the traffic congestion problem, i.e. considering the whole system welfare and assigning routes to users in such a way that the congestion problem is solved or, at least, kept at a minimum level (Morandi 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Although not very realistic [54], it is also assumed that users have perfect information about the road network structure and the traffic conditions (congestion information) and they are rational in their choice, i.e., they can optimize their decisions. With the proliferation of ITS technologies, the perfect information assumption is no longer unrealistic and urban traffic tends to approach to a state of UE more than ever [17,45]. Hence, UE can be defined as the collective outcome of selfish choices of fully informed noncooperative travelers in an uncoordinated road network [37].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the remainder of the Literature Review Section, we will focus on studies related to BRUE and CSO traffic assignment approaches. For further details on static and dynamic traffic assignment models, we refer the reader to Bayram [11], Morandi [45] and for a comprehensive review on the use of information systems to influence behavior/choice of travelers to Van Essen et al [64].…”
Section: Literature Reviewmentioning
confidence: 99%
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