Contribution to the field of traffic assignment: A boundedly rational user equilibrium model with uncertain supply and demand

Xu, Junxiang; Zhang, Jin; Guo, Jingni

doi:10.1016/j.seps.2020.100949

Cited by 11 publications

(3 citation statements)

References 26 publications

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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%

Analysis of the Conflict between Car Commuter’s Route Choice Habitual Behavior and Traffic Information Search Behavior

2022

Sensors

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Motivated by the conflict between travelers’ habitual choice behavior and traffic information search behavior, in this paper, a behavioral experiment under different types of traffic information (i.e., per-trip traffic information and en-route traffic information) was designed to obtain data regarding car commuters’ daily route choices. Based on the observed data, participants’ route choices, habit strength, response time, and information search behaviors were analyzed. It is concluded that, in the beginning, the traffic information had a great influence on the habit participants’ route choices, let them think more, and made most of them switch from habit route to the best route (as recommended by traffic information); however, as time went on, the impact of traffic information declined, and several features of habits, such as automatically responding and repeated behavior, would reappear in some participants’ decision-making. Meanwhile, the different way of traffic information search behaviors (i.e., in active performance or in passive reception) could cause different information compliance ratios. These results would help to understand the interrelationship between car commuters’ daily route choice behaviors and traffic information search behaviors in short-term and in long-term, respectively, and provide an interesting starting point for the development of practical traffic information issuing strategies to enhance the impact of traffic information to alleviate traffic congestion during morning commuting.

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Section: Pre-trip Traffic Information Vs En-route Traffic Informationmentioning

confidence: 99%

Analysis of the Conflict between Car Commuter’s Route Choice Habitual Behavior and Traffic Information Search Behavior

2022

Sensors

View full text Add to dashboard Cite

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“…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%

Spatial and temporal modelling of coupled power and transportation systems: A comprehensive review

Sun

Zhao

Wang

et al. 2021

Energy Conversion and Econom

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The large-scale application of electric vehicles can lead to new challenges in the operation of the two complex and coupled networks of electricity and transportation systems, thus creating a new concept-a power-traffic network. The purpose is to provide a comprehensive survey of this emerging field. First, both the transportation system and power grid models are briefly introduced in terms of time and space scales. Then, the power traffic network model and applications at long-term, mid-term, and short-term time scales are summarized, and provided a unified view of these achievements. Based on this analysis, recommendations for future research are presented.

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“…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%

A Group Emergency Decision-Making Method for Epidemic Prevention and Control Based on Probabilistic Hesitant Fuzzy Prospect Set Considering Quality of Information

Mao

et al. 2022

Int J Comput Intell Syst

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Epidemics can bring huge impacts to economic operation and human health, a practical and effective emergency decision-making (EDM) method is of great significance to reduce all kinds of losses and slow the spread of epidemics. In the process of EDM, decision information is usually uncertain and vague, and the psychological behaviors and various perspectives of decision makers (DMs) should be considered. Hence, this paper develops a group emergency decision-making (GEDM) method under risk based on the probabilistic hesitant fuzzy set (PHFS) and cumulative prospect theory (CPT), in which probabilistic hesitant fuzzy prospect set (PHFPS) that combines PHFS and CPT is developed to portray the vagueness of decision information and psychologies of DMs. Moreover, experts’ creditability in evaluation criteria is generally different because of the differences of their own knowledge structures, practical experience, individual preference and so on. A formula is proposed to measure the quality of decision information provided by experts for revising the expert weights. In addition, the evaluation criteria supporting the GEDM of epidemics are given. Finally, the proposed method is demonstrated by an empirical case study of COVID-19, and the comparison analysis based on the rank-biased overlap model and the sensitivity analysis are conducted to the illustrate the validity of the proposed method.

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Contribution to the field of traffic assignment: A boundedly rational user equilibrium model with uncertain supply and demand

Cited by 11 publications

References 26 publications

Analysis of the Conflict between Car Commuter’s Route Choice Habitual Behavior and Traffic Information Search Behavior

Analysis of the Conflict between Car Commuter’s Route Choice Habitual Behavior and Traffic Information Search Behavior

Spatial and temporal modelling of coupled power and transportation systems: A comprehensive review

A Group Emergency Decision-Making Method for Epidemic Prevention and Control Based on Probabilistic Hesitant Fuzzy Prospect Set Considering Quality of Information

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