Academic Journal
Large-scale online ridesharing: the effect of assignment optimality on system performance
| العنوان: | Large-scale online ridesharing: the effect of assignment optimality on system performance |
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| المؤلفون: | Fiedler, David (author), Čertický, Michal (author), Alonso-Mora, J. (author), Pěchouček, Michal (author), Čáp, Michal (author) |
| سنة النشر: | 2022 |
| المجموعة: | Delft University of Technology: Institutional Repository |
| مصطلحات موضوعية: | Mobility-on-demand, ridesharing, simulation, traffic control, vehicle routing |
| الوصف: | Mobility-on-demand (MoD) systems consist of a fleet of shared vehicles that can be hailed for one-way point-to-point trips. The total distance driven by the vehicles and the fleet size can be reduced by employing ridesharing, i.e., by assigning multiple passengers to one vehicle. However, finding the optimal passenger-vehicle assignment in an MoD system is a hard combinatorial problem. In this work, we demonstrate how the VGA method, a recently proposed systematic method for ridesharing, can be used to compute the optimal passenger-vehicle assignments and corresponding vehicle routes in a massive-scale MoD system. In contrast to existing works, we solve all passenger-vehicle assignment problems to optimality, regularly dealing with instances containing thousands of vehicles and passengers. Moreover, to examine the impact of using optimal ridesharing assignments, we compare the performance of an MoD system that uses optimal assignments against an MoD system that uses assignments computed using insertion heuristic and against an MoD system that uses no ridesharing. We found that the system that uses optimal ridesharing assignments subject to the maximum travel delay of 4 minutes reduces the vehicle distance driven by 57% compared to an MoD system without ridesharing. Furthermore, we found that the optimal assignments result in a 20% reduction in vehicle distance driven and 5% lower average passenger travel delay compared to a system that uses insertion heuristic. ; Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; Learning & Autonomous Control |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | http://www.scopus.com/inward/record.url?scp=85143292722&partnerID=8YFLogxK; Journal of Intelligent Transportation Systems: technology, planning, and operations--1547-2450--f009ed42-1122-4ad5-8518-c30a9b4a3e2b; http://resolver.tudelft.nl/uuid:721f76be-f988-46c1-852a-59e894bd47b5; https://doi.org/10.1080/15472450.2022.2121651 |
| DOI: | 10.1080/15472450.2022.2121651 |
| الاتاحة: | http://resolver.tudelft.nl/uuid:721f76be-f988-46c1-852a-59e894bd47b5 https://doi.org/10.1080/15472450.2022.2121651 |
| Rights: | © 2022 David Fiedler, Michal Čertický, J. Alonso-Mora, Michal Pěchouček, Michal Čáp |
| رقم الانضمام: | edsbas.93BF18C3 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1080/15472450.2022.2121651 |
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