2013
DOI: 10.1016/j.trb.2013.06.008
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Boundedly rational user equilibria (BRUE): Mathematical formulation and solution sets

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Cited by 78 publications
(44 citation statements)
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“…connectedness) is still not fully investigated, and although the VI formulation is established, it is unclear how to obtain (at least part of) the BRUE solutions based on this formulation in an efficient way. For this topic, some discussion can be found in Di et al (2013) and Han et al (2015).…”
Section: Discussionmentioning
confidence: 99%
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“…connectedness) is still not fully investigated, and although the VI formulation is established, it is unclear how to obtain (at least part of) the BRUE solutions based on this formulation in an efficient way. For this topic, some discussion can be found in Di et al (2013) and Han et al (2015).…”
Section: Discussionmentioning
confidence: 99%
“…Given the bounded rationality threshold, the complete BRUE set could be obtained using the method proposed by Di et al (2013). Alternatively, due to the small network size in this example, we can plot the approximate BRUE set by enumeration.…”
Section: Braess Networkmentioning
confidence: 99%
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“…Moreover, to formulate the fairness concerns, they used Nash bargaining solution as fairness reference. Di et al [31] developed a systematic methodology to obtain boundedly rational user equilibria (BRUE) solutions for networks with fixed demands that assist in predicting BRUE Algorithms 2018, 11, 54 4 of 18 link traffic flow patterns in a given network to guide planners for making network design decisions accordingly when travellers behave boundedly rational. Di and Liu [32] presented a comprehensive review of models as well as methodologies of bounded rationality route choice behavior.…”
Section: Literature Reviewmentioning
confidence: 99%
“…26 Mahmassani and Chang 27 first employed bounded rationality in an idealized commuting system with a single bottleneck to model pre-trip departure time choice. Since then, there are much research on incorporation bounded rationality into various travel choices, such as transportation forecasting, 28 transportation planning and designing, 29 day-to-day traffic evolution, 30 travel choice behavior, [31][32][33] traffic assignment, 34 user equilibrium, 35 traffic mode split, 36 and traffic policy making. 37 All these studies indicate that the bounded rationality assumption plays an important role in transportation modeling.…”
Section: Introductionmentioning
confidence: 99%