Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak
Instantaneous mega-traffic flow has long been one of the major challenges in the management of mega-cities. It is difficult for the public transportation system to cope directly with transient mega-capacity flows, and the uneven spatiotemporal distribution of demand is the main cause. To this end, t...
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MDPI AG
2021-10-01
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| Online Access: | https://www.mdpi.com/2078-2489/12/10/429 |
| _version_ | 1797514304682983424 |
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| author | Hao Zheng Xingchen Zhang Junhua Chen |
| author_facet | Hao Zheng Xingchen Zhang Junhua Chen |
| author_sort | Hao Zheng |
| collection | DOAJ |
| description | Instantaneous mega-traffic flow has long been one of the major challenges in the management of mega-cities. It is difficult for the public transportation system to cope directly with transient mega-capacity flows, and the uneven spatiotemporal distribution of demand is the main cause. To this end, this paper proposed a customized shuttle bus transportation model based on the “boarding-transfer-alighting” framework, with the goal of minimizing operational costs and maximizing service quality to address mega-transit demand with uneven spatiotemporal distribution. The fleet application is constructed by a pickup and delivery problem with time window and transfer (PDPTWT) model, and a heuristic algorithm based on Tabu Search and ALNS is proposed to solve the large-scale computational problem. Numerical tests show that the proposed algorithm has the same accuracy as the commercial solution software, but has a higher speed. When the demand size is 10, the proposed algorithm can save 24,000 times of time. In addition, 6 reality-based cases are presented, and the results demonstrate that the designed option can save 9.93% of fleet cost, reduce 45.27% of vehicle waiting time, and 33.05% of passenger waiting time relative to other existing customized bus modes when encountering instantaneous passenger flows with time and space imbalance. |
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| format | Article |
| id | doaj.art-add52ee1c2d842c0a87bf1bd7f11c8e9 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T06:30:01Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
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| spelling | doaj.art-add52ee1c2d842c0a87bf1bd7f11c8e92023-11-22T18:38:02ZengMDPI AGInformation2078-24892021-10-01121042910.3390/info12100429Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-PeakHao Zheng0Xingchen Zhang1Junhua Chen2School of Traffic and Transportation, Beiing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, ChinaSchool of Traffic and Transportation, Beiing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, ChinaSchool of Traffic and Transportation, Beiing Jiaotong University, No. 3 Shang Yuan Cun, Hai Dian District, Beijing 100044, ChinaInstantaneous mega-traffic flow has long been one of the major challenges in the management of mega-cities. It is difficult for the public transportation system to cope directly with transient mega-capacity flows, and the uneven spatiotemporal distribution of demand is the main cause. To this end, this paper proposed a customized shuttle bus transportation model based on the “boarding-transfer-alighting” framework, with the goal of minimizing operational costs and maximizing service quality to address mega-transit demand with uneven spatiotemporal distribution. The fleet application is constructed by a pickup and delivery problem with time window and transfer (PDPTWT) model, and a heuristic algorithm based on Tabu Search and ALNS is proposed to solve the large-scale computational problem. Numerical tests show that the proposed algorithm has the same accuracy as the commercial solution software, but has a higher speed. When the demand size is 10, the proposed algorithm can save 24,000 times of time. In addition, 6 reality-based cases are presented, and the results demonstrate that the designed option can save 9.93% of fleet cost, reduce 45.27% of vehicle waiting time, and 33.05% of passenger waiting time relative to other existing customized bus modes when encountering instantaneous passenger flows with time and space imbalance.https://www.mdpi.com/2078-2489/12/10/429shuttle transit servicepickup and delivery with time windows and transferssuper-peakinstantaneous demand |
| spellingShingle | Hao Zheng Xingchen Zhang Junhua Chen Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak Information shuttle transit service pickup and delivery with time windows and transfers super-peak instantaneous demand |
| title | Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak |
| title_full | Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak |
| title_fullStr | Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak |
| title_full_unstemmed | Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak |
| title_short | Study on Customized Shuttle Transit Mode Responding to Spatiotemporal Inhomogeneous Demand in Super-Peak |
| title_sort | study on customized shuttle transit mode responding to spatiotemporal inhomogeneous demand in super peak |
| topic | shuttle transit service pickup and delivery with time windows and transfers super-peak instantaneous demand |
| url | https://www.mdpi.com/2078-2489/12/10/429 |
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