2021
DOI: 10.1016/j.seps.2020.100949
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Contribution to the field of traffic assignment: A boundedly rational user equilibrium model with uncertain supply and demand

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Cited by 12 publications
(3 citation statements)
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“…Another reason may be that, in some trials, the differences of the predicted route travel times among the three routes (predicted by per-trip traffic information) or the difference of the predicted link travel times between two links (predicted by en-route traffic information) were not significant. As proposed by the literature [44][45][46], there is an "indifference band" that exists in the traveler's route choice behavior, and if the difference between travel times on the current route and on the best available route is within this indifference band, the traveler will not switch a route. Therefore, the compliance ratios were not always equal to 100% under the influence of traffic information.…”
Section: Pre-trip Traffic Information Vs En-route Traffic Informationmentioning
confidence: 99%
“…Another reason may be that, in some trials, the differences of the predicted route travel times among the three routes (predicted by per-trip traffic information) or the difference of the predicted link travel times between two links (predicted by en-route traffic information) were not significant. As proposed by the literature [44][45][46], there is an "indifference band" that exists in the traveler's route choice behavior, and if the difference between travel times on the current route and on the best available route is within this indifference band, the traveler will not switch a route. Therefore, the compliance ratios were not always equal to 100% under the influence of traffic information.…”
Section: Pre-trip Traffic Information Vs En-route Traffic Informationmentioning
confidence: 99%
“…Detailed models can be found in [51, 52]. Both are optimization models that can be solved by either a numerical optimization method [53] or a metaheuristic algorithm [54]. In certain cases, the UE can also be extended to stochastic user equilibrium by importing the user decision uncertainty [52, 55].…”
Section: Network Modelsmentioning
confidence: 99%
“…The value function in CPT is used to depict the behaviors of diminishing sensitivity and loss aversion of DMs under uncertainty, and the weighting function proposed in CPT is utilized to show the characteristic reflection pattern of attitudes to risk [ 27 ]. At present, CPT has been widely applied to solve decision-making problems, such as traffic management [ 38 , 39 ], portfolio insurance [ 40 ], health domains [ 41 ], EDM [ 35 , 42 , 43 ], and so on. Moreover, compared with other behavior theories, CPT has significant advantages in dealing with the emergency alternative selection problem under a major epidemic because its evaluation value is easy to calculate and it could describe the behavioral features of DMs in detail.…”
Section: Introductionmentioning
confidence: 99%