Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand
With the blooming growth of urban populations and the consequent rise in passenger demand for efficient public transportation, MoD based transportation services, such as shared-public taxis and ride-hailing, have become crucial in urban mobility. However, these systems often face challenges like ine...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/173868 |
| _version_ | 1826118687064588288 |
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| author | Yang, Yifan |
| author2 | Su Rong |
| author_facet | Su Rong Yang, Yifan |
| author_sort | Yang, Yifan |
| collection | NTU |
| description | With the blooming growth of urban populations and the consequent rise in passenger demand for efficient public transportation, MoD based transportation services, such as shared-public taxis and ride-hailing, have become crucial in urban mobility. However, these systems often face challenges like inefficient vehicle utilization, unmet passenger demand, and imbalance in vehicle distribution. In this dissertation, a series of novel methodologies for the dispatch and rebalancing of vehicle fleets are introduced, aimed at enhancing operational efficiency and customer satisfaction. By modelling the entire problem as an Integer Linear Programming problem with a set of constraints, the optimal decision set of vehicle rebalancing can be implemented into the rebalancing and dispatch system to refine the performance of the system. The simulation procedure is conducted on the real history taxi data of Beijing city, which contains key performance indicators such as average waiting time, service rate, and vehicle utilization rate. The results show that the effectiveness of proposed strategies is predictive and efficient. In the following works, the proposed models and strategies hold the potential to transform MoD services, making them more responsive, efficient, and sustainable, thereby enhancing the overall urban transportation landscape. |
| first_indexed | 2024-10-01T04:47:51Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/173868 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:47:51Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1738682024-03-08T15:43:52Z Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand Yang, Yifan Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Computer and Information Science Vehicle fleet management Mobility-on-demand With the blooming growth of urban populations and the consequent rise in passenger demand for efficient public transportation, MoD based transportation services, such as shared-public taxis and ride-hailing, have become crucial in urban mobility. However, these systems often face challenges like inefficient vehicle utilization, unmet passenger demand, and imbalance in vehicle distribution. In this dissertation, a series of novel methodologies for the dispatch and rebalancing of vehicle fleets are introduced, aimed at enhancing operational efficiency and customer satisfaction. By modelling the entire problem as an Integer Linear Programming problem with a set of constraints, the optimal decision set of vehicle rebalancing can be implemented into the rebalancing and dispatch system to refine the performance of the system. The simulation procedure is conducted on the real history taxi data of Beijing city, which contains key performance indicators such as average waiting time, service rate, and vehicle utilization rate. The results show that the effectiveness of proposed strategies is predictive and efficient. In the following works, the proposed models and strategies hold the potential to transform MoD services, making them more responsive, efficient, and sustainable, thereby enhancing the overall urban transportation landscape. Master's degree 2024-03-06T01:13:56Z 2024-03-06T01:13:56Z 2024 Thesis-Master by Coursework Yang, Y. (2024). Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/173868 https://hdl.handle.net/10356/173868 en application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Vehicle fleet management Mobility-on-demand Yang, Yifan Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand |
| title | Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand |
| title_full | Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand |
| title_fullStr | Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand |
| title_full_unstemmed | Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand |
| title_short | Fleet vehicle dispatch and rebalancing method and simulation based on mobility-on-demand |
| title_sort | fleet vehicle dispatch and rebalancing method and simulation based on mobility on demand |
| topic | Computer and Information Science Vehicle fleet management Mobility-on-demand |
| url | https://hdl.handle.net/10356/173868 |
| work_keys_str_mv | AT yangyifan fleetvehicledispatchandrebalancingmethodandsimulationbasedonmobilityondemand |