Real-Time Operations of Autonomous Mobility- on-Demand Services With Inter-and Intra-Zonal Relocation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeo, Jiho | - |
dc.contributor.author | Lee, Sujin | - |
dc.contributor.author | Jang, Kitae | - |
dc.contributor.author | Lee, Jinwoo | - |
dc.date.accessioned | 2024-07-08T02:30:25Z | - |
dc.date.available | 2024-07-08T02:30:25Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.issn | 2379-8858 | - |
dc.identifier.issn | 2379-8904 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91786 | - |
dc.description.abstract | In the context of shared connected autonomous vehicles (SCAVs), the relocation of idle vehicles is a crucial issue for the operation of autonomous mobility-on-demand (AMoD) services. Unlike traditional human-chauffeured taxis, AMoD operations are fully controllable by central systems and not affected by unpredictable human driver behavior. To address the spatial-temporal imbalance between supply and demand and optimize the level of service while minimizing agency costs, we propose a real-time AMoD relocation model. However, vehicle-specific control every second for large fleet sizes may cause computational burdens for the control center. To overcome this, we present a bi-level framework that decomposes the original system-level problem into an inter-zonal relocation problem for the entire service area and an intra-zonal relocation problem for each zone. This reduces the decision space to periodic inter- and intra-zonal relocation of idle vehicles. Using real-world taxi operation data from Daejeon City, Korea, we demonstrate the proposed method via agent-based simulations, assuming that SCAVs replace existing taxis. The results show that the method can significantly reduce the total generalized cost for both users and the agency. Through a sensitivity analysis, we investigate how the performance varies depending on the zone size, inter- and intra-zonal relocation interval, and demand uncertainty and discuss the observed tradeoff. The intended contribution is twofold: first, we propose a novel computationally feasible method that can efficiently operate AMoD systems in real time; second, we provide a closed-form analytical formulation that can help decision-makers explicitly understand the relationship between the cost components and the decision factors. | - |
dc.format.extent | 13 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Real-Time Operations of Autonomous Mobility- on-Demand Services With Inter-and Intra-Zonal Relocation | - |
dc.type | Article | - |
dc.identifier.wosid | 001109113000008 | - |
dc.identifier.doi | 10.1109/TIV.2023.3299692 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, v.8, no.10, pp 4357 - 4369 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85166295577 | - |
dc.citation.endPage | 4369 | - |
dc.citation.startPage | 4357 | - |
dc.citation.title | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | - |
dc.citation.volume | 8 | - |
dc.citation.number | 10 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Shared connected autonomous vehicles | - |
dc.subject.keywordAuthor | autonomous mobility-on-demand | - |
dc.subject.keywordAuthor | vehicle relocation | - |
dc.subject.keywordAuthor | real-time operation | - |
dc.subject.keywordAuthor | level of service | - |
dc.subject.keywordPlus | MODEL-PREDICTIVE CONTROL | - |
dc.subject.keywordPlus | AUTOMATED MOBILITY | - |
dc.subject.keywordPlus | TAXI | - |
dc.subject.keywordPlus | SIMULATION | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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