Framework for automated taxi operation : the family model
Replacement of conventional taxis by automated vehicles will challenge taxi operation in many ways. Decisions made by taxi drivers will be substituted by an integrated scheduling system that also manages the non-revenue generating activities such as vehicle pre-allocation, recharging and service tri...
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sg-ntu-dr.10356-892952020-03-07T11:43:39Z Framework for automated taxi operation : the family model Kümmel, Michal Busch, Fritz Wang, David Zhi Wei School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering Automated Vehicles Scheduling Replacement of conventional taxis by automated vehicles will challenge taxi operation in many ways. Decisions made by taxi drivers will be substituted by an integrated scheduling system that also manages the non-revenue generating activities such as vehicle pre-allocation, recharging and service trips. In order to tackle this challenge, this study introduces a theoretical framework for autonomous vehicles based on the model of a family. The family model decomposes the complexity of scheduling for automated vehicle fleets. It allows vehicles to negotiate among them in a decentralized fashion and at the same time it allows the fleet manager to set fleet priorities and to pre-allocate vehicles in locations of expected future demand. Furthermore, it proposes a transparent framework for communication with service providers. Moreover, this study discusses selected opportunities and challenges of automated vehicle fleets. NRF (Natl Research Foundation, S’pore) Published version 2018-10-02T05:18:11Z 2019-12-06T17:22:14Z 2018-10-02T05:18:11Z 2019-12-06T17:22:14Z 2017 Journal Article Kümmel, M., Busch, F., & Wang, D. Z. W. (2017). Framework for automated taxi operation : the family model. Transportation Research Procedia, 22, 529-540. doi:10.1016/j.trpro.2017.03.071 2352-1465 https://hdl.handle.net/10356/89295 http://hdl.handle.net/10220/46169 10.1016/j.trpro.2017.03.071 en Transportation Research Procedia © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 12 p. application/pdf |
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DRNTU::Engineering::Civil engineering Automated Vehicles Scheduling Kümmel, Michal Busch, Fritz Wang, David Zhi Wei Framework for automated taxi operation : the family model |
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Replacement of conventional taxis by automated vehicles will challenge taxi operation in many ways. Decisions made by taxi drivers will be substituted by an integrated scheduling system that also manages the non-revenue generating activities such as vehicle pre-allocation, recharging and service trips. In order to tackle this challenge, this study introduces a theoretical framework for autonomous vehicles based on the model of a family. The family model decomposes the complexity of scheduling for automated vehicle fleets. It allows vehicles to negotiate among them in a decentralized fashion and at the same time it allows the fleet manager to set fleet priorities and to pre-allocate vehicles in locations of expected future demand. Furthermore, it proposes a transparent framework for communication with service providers. Moreover, this study discusses selected opportunities and challenges of automated vehicle fleets. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Kümmel, Michal Busch, Fritz Wang, David Zhi Wei |
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Article |
author |
Kümmel, Michal Busch, Fritz Wang, David Zhi Wei |
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Kümmel, Michal |
title |
Framework for automated taxi operation : the family model |
title_short |
Framework for automated taxi operation : the family model |
title_full |
Framework for automated taxi operation : the family model |
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Framework for automated taxi operation : the family model |
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Framework for automated taxi operation : the family model |
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framework for automated taxi operation : the family model |
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2018 |
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https://hdl.handle.net/10356/89295 http://hdl.handle.net/10220/46169 |
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1681040245968076800 |