2019
DOI: 10.1016/j.trc.2019.10.007
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A linear program for optimal integration of shared autonomous vehicles with public transit

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Cited by 53 publications
(16 citation statements)
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References 38 publications
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“…Vehicle routing problems have been also modeled as a continuous (i.e, macroscopic) DTA problems, in which vehicles and travelers are described by continuous variables such as traffic volume [18], [19]. The advantage of this approach is that it is much more computationally efficient than MILPbased models while maintaining accurate representation of traffic dynamics such as congestion.…”
Section: A Operational Aspects Of Sav Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Vehicle routing problems have been also modeled as a continuous (i.e, macroscopic) DTA problems, in which vehicles and travelers are described by continuous variables such as traffic volume [18], [19]. The advantage of this approach is that it is much more computationally efficient than MILPbased models while maintaining accurate representation of traffic dynamics such as congestion.…”
Section: A Operational Aspects Of Sav Systemsmentioning
confidence: 99%
“…Although above two issues are clear limitations of the proposed model, similar features are often assumed to model SAVs, automated vehicle operations, or ridesharing services in the literature [6], [18], [19], [43], [44]. Therefore, the proposed model could be still useful for designing SAV systems in the strategic planning phases; as discussed in Section I, this role is essential for urban transportation planning for example.…”
Section: F Limitationsmentioning
confidence: 99%
“…1 The identification process of selecting papers supply side concentrated on service package creation [36] and pricing schemes [37]. The platform side focused on matching both users and vehicles, route planning [38][39][40][41][42][43][44][45][46][47][48][49], and the impact of MPO on users [50][51][52]. The modeling part focused on modeling the demand-supply interactions [48,[53][54][55][56][57][58][59][60][61][62][63][64][65][66][67].…”
Section: Inclusionmentioning
confidence: 99%
“…The modeling objectives of the MPO are described in Table 2. The dispatching processes considered user's travel time and driver's detour time and waiting time to provide a journey with minimizing total travel time for both user and driver [38,40,41,44,60,61,63,69], and maximizing the matched users [43,46,47,67]. Furthermore, several studies proposed dispatching models to minimize the operational costs of shared mobility services [45,56,62].…”
Section: Maas Platform Operatormentioning
confidence: 99%
“…An SAV typology is proposed and concluded that the deployment of AVs may be as shared autonomous mobility services. The integration of SAVs with public transport is widely studied [9][10][11]. A deep case study was presented considering the transportation organization structure of Singapore, where the public transport authority was assumed as the highest organizational unit incorporating with SAV services [9].…”
Section: Maas Smartphone Applicationmentioning
confidence: 99%