Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities

Konstanze Winter; Oded Cats; Bart Van Arem; Karel Martens

doi:10.1109/MTITS.2017.8005630

Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities

Konstanze Winter, Oded Cats, Bart Van Arem, Karel Martens

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

17 Citations (Scopus)

Abstract

The introduction of taxi-like transit services operated by shared automated vehicles comes into sight with the development of vehicle automation. In this paper, the operation of such a service is simulated for a generic grid network in order to determine the impact of different relocation strategies for idle vehicles on passenger waiting time, empty mileage and parking needs. The tested strategies consist of remaining idle at the latest drop-off location, returning to the initial position, relocating to a random location, relocating according to anticipated demand or relocating to a zone with a low vehicle supply. For the simulated case study, remaining idle outperformed the other relocation strategies in terms of service efficiency and service effectiveness, while the strategy of evenly or randomly dispersing vehicles over the network lead to largest reduction of the number of parked vehicles per link, and the strategy of anticipating demand to largest reduction of deadheading mileages.

Original language	English
Title of host publication	5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings
Publisher	IEEE
Pages	844-849
Number of pages	6
ISBN (Electronic)	9781509064847
DOIs	https://doi.org/10.1109/MTITS.2017.8005630
Publication status	Published - 8 Aug 2017
Event	5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Naples, Italy Duration: 26 Jun 2017 → 28 Jun 2017

Conference

Conference	5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017
Abbreviated title	MT-ITS 2017
Country/Territory	Italy
City	Naples
Period	26/06/17 → 28/06/17

Keywords

Automated Taxis
Externalities
Fleet Management
Vehicle Relocation

Access to Document

10.1109/MTITS.2017.8005630

Cite this

Winter, K., Cats, O., Van Arem, B., & Martens, K. (2017). Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities. In 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings (pp. 844-849). Article 8005630 IEEE. https://doi.org/10.1109/MTITS.2017.8005630

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title = "Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities",

abstract = "The introduction of taxi-like transit services operated by shared automated vehicles comes into sight with the development of vehicle automation. In this paper, the operation of such a service is simulated for a generic grid network in order to determine the impact of different relocation strategies for idle vehicles on passenger waiting time, empty mileage and parking needs. The tested strategies consist of remaining idle at the latest drop-off location, returning to the initial position, relocating to a random location, relocating according to anticipated demand or relocating to a zone with a low vehicle supply. For the simulated case study, remaining idle outperformed the other relocation strategies in terms of service efficiency and service effectiveness, while the strategy of evenly or randomly dispersing vehicles over the network lead to largest reduction of the number of parked vehicles per link, and the strategy of anticipating demand to largest reduction of deadheading mileages.",

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author = "Konstanze Winter and Oded Cats and {Van Arem}, Bart and Karel Martens",

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Winter, K, Cats, O , Van Arem, B & Martens, K 2017, Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities. in 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings., 8005630, IEEE, pp. 844-849, 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017, Naples, Italy, 26/06/17. https://doi.org/10.1109/MTITS.2017.8005630

Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities. / Winter, Konstanze; Cats, Oded ; Van Arem, Bart et al.
5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings. IEEE, 2017. p. 844-849 8005630.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - The introduction of taxi-like transit services operated by shared automated vehicles comes into sight with the development of vehicle automation. In this paper, the operation of such a service is simulated for a generic grid network in order to determine the impact of different relocation strategies for idle vehicles on passenger waiting time, empty mileage and parking needs. The tested strategies consist of remaining idle at the latest drop-off location, returning to the initial position, relocating to a random location, relocating according to anticipated demand or relocating to a zone with a low vehicle supply. For the simulated case study, remaining idle outperformed the other relocation strategies in terms of service efficiency and service effectiveness, while the strategy of evenly or randomly dispersing vehicles over the network lead to largest reduction of the number of parked vehicles per link, and the strategy of anticipating demand to largest reduction of deadheading mileages.

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Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities

Abstract

Conference

Keywords

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Providing Public Transport by Self-Driving Vehicles: User Preferences, Fleet Operation, and Parking Management

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