| 1. |
- Babicheva, Tatiana, et al.
(author)
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Empty vehicle redistribution and fleet size in autonomous taxi systems
- 2019
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In: IET Intelligent Transport Systems. - : INST ENGINEERING TECHNOLOGY-IET. - 1751-956X .- 1751-9578. ; 13:4, s. 677-682
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Journal article (peer-reviewed)abstract
- This study investigates empty vehicle redistribution algorithms for personal rapid transit and autonomous taxi services. The focus is on passenger service and operator cost. A new redistribution algorithm is presented in this study: index-based redistribution (IBR). IBR is a proactive method, meaning it takes into account both current demand and anticipated future demand, in contrast to reactive methods, which act based on current demand only. From information on currently waiting for passengers, predicted near-future demand and projected arrival of vehicles, IBR calculates an index for each vehicle station, and redistribution is done based on this index. Seven different algorithm combinations are evaluated using a test case in Paris Saclay, France (20 stations and 100 vehicles). A combination of simple nearest neighbours and IBR is shown to be promising. Its results outperform the other methods tested in peak and off-peak demand, in terms of average and maximum passenger waiting times as well as station queue length. The effect of vehicle fleet size on generalised cost is analysed. Waiting times, mileage and fleet size are taken into account while assessing this generalised cost.
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| 2. |
- Babicheva, Tatiana, et al.
(author)
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Empty vehicle redistribution in autonomous taxi services
- 2019
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In: EURO Journal on Transportation and Logistics. - : SPRINGER HEIDELBERG. - 2192-4376 .- 2192-4384. ; 8:5, s. 745-767
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Journal article (peer-reviewed)abstract
- In this article, we investigate empty vehicle redistribution algorithms for Personal Rapid Transit (PRT) or autonomous station-based taxi services, from a passenger service perspective. We present a new index-based redistribution (IBR) algorithm that improves upon existing nearest neighbour and indexing algorithms by incorporating expected passenger arrivals and predicted waiting times into the surplus/deficit index. We evaluate six variations of algorithms on a test case in Paris Saclay, France. The results show that especially the combination of Simple Nearest Neighbours + Index Based Redistribution provides promising results for both off-peak and rush-hour demand, outperforming the other methods tested, in terms of passenger waiting time (average and maximum) as well as station queue lengths.
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| 3. |
- Cebecauer, Matej, et al.
(author)
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Integrating Demand Responsive Services into Public Transport Disruption Management
- 2021
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In: IEEE Open Journal of Intelligent Transportation Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 2687-7813. ; 2, s. 24-36
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Journal article (peer-reviewed)abstract
- High-capacity public transport services such as metro and commuter trains are efficient during normal operations but are vulnerable to disruptions. To manage disruptions, bridging buses are commonly called in to replace the rail-based service along the disrupted lines. These often take significant time to arrive and are costly to keep stand-by. Demand-responsive transport such as taxi can respond to demand almost immediately but is costly and must usually be arranged by the individual travelers. This study examines the integration and potential role of demand-responsive transport in disruption management. The analysis considers the impacts of limiting the serving area, varying the number of available vehicles, pursuing ride-sharing, as well as a system-of-systems approach with collaboration between taxis and bridging buses. Results of computational experiments on the case study of Stockholm, Sweden reveal that integration of demand-responsive transport in the disruption management can bring large positive benefits in terms of average and maximum waiting times for travelers. This is especially the case for strategies including ridesharing. It is also shown that appropriate trade-offs between desired waiting times and costs can be achieved by collaboration of both bridging buses and demand-responsive transport. Additionally, more robust public transport with increased reliability during disruptions can increase sustainability as more people may choose public transport instead of private cars.
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| 4. |
- Cebecauer, Matej, et al.
(author)
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Public transport disruption management by collaboration with demand responsive services
- 2020
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Conference paper (peer-reviewed)abstract
- For large cities, public transport represents the backbone for commuters and thus plays a crucial role for society and for the economy. High-capacity public transport services such as metro and commuter trains are efficient during normal operations but are vulnerable to disruptions. Metro and commuter train disruptions can be handled in several ways. Very common are bridging buses that are called in to replace the rail-based service along the disrupted lines. These often take significant time to arrive and are costly to keep stand-by. Demand-responsive transport such as taxi can respond to demand almost immediately but is costly and must usually be arranged by the individual travelers. This study examines the integration and potential role of demand-responsive transport in disruption management. The analysis considers the impacts of limiting the serving area, varying the number of available vehicles, pursuing ridesharing, as well as a system-of-systems approach with collaboration between taxis and bridging buses. Results of computational experiments on the case study of Stockholm, Sweden reveal that integration of demand-responsive transport in the disruption management can bring large positive benefits in terms of average and maximum waiting times for travelers. This is especially the case for strategies including ridesharing. It is also shown that appropriate trade-offs between desired waiting times and costs can be achieved by collaboration of both bridging buses and demand-responsive transport. Additionally, it is expected that more robust public transport with increased reliability during disruptions can increase sustainability as more people may choose public transport instead of private cars.
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