Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service

The introduction of public transport services by fully automated vehicles can potentially change the way public transit services will be operated, as they allow shifting from rigid scheduled and route-bound services towards flexible, demand-responsive services. This study examines the potential perf...

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Main Authors: Konstanze Winter, Oded Cats, Gonçalo Correia, Bart van Arem
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2018-06-01
Series:International Journal of Transportation Science and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2046043018300285
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author Konstanze Winter
Oded Cats
Gonçalo Correia
Bart van Arem
author_facet Konstanze Winter
Oded Cats
Gonçalo Correia
Bart van Arem
author_sort Konstanze Winter
collection DOAJ
description The introduction of public transport services by fully automated vehicles can potentially change the way public transit services will be operated, as they allow shifting from rigid scheduled and route-bound services towards flexible, demand-responsive services. This study examines the potential performance of an Automated Demand Responsive Transport Service (ADRTS) as a replacement for scheduled bus services and simulates the effects of demand levels, vehicle capacity, vehicle dwell time and the initial vehicle distribution on system performance in terms of fleet size and system costs. The simulation tool allows simulating the operation of the ADRTS in a complete graph and is applied to the case study of Arnhem, the Netherlands. For this case study it has been shown that for a minimum fleet size following the imposed constraints, the operational costs range between 0.84 and 1.22 Euros and the average passenger wait time ranges between 2 and 6 min, according to the assumptions made on demand and operational parameters. The operational costs of the ADRTS showed to be in the same range of the current bus system, while providing a demand-responsive transport service with an average waiting time of around 4 min per passenger-trip. The economies of scale, which play an important role in public transport, are also apparent in the simulated ADRTS operations.
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spelling doaj.art-36a0859864a34b0dbde95e3e7844ae262023-09-02T07:36:09ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302018-06-017215116710.1016/j.ijtst.2018.04.004Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport serviceKonstanze WinterOded CatsGonçalo CorreiaBart van AremThe introduction of public transport services by fully automated vehicles can potentially change the way public transit services will be operated, as they allow shifting from rigid scheduled and route-bound services towards flexible, demand-responsive services. This study examines the potential performance of an Automated Demand Responsive Transport Service (ADRTS) as a replacement for scheduled bus services and simulates the effects of demand levels, vehicle capacity, vehicle dwell time and the initial vehicle distribution on system performance in terms of fleet size and system costs. The simulation tool allows simulating the operation of the ADRTS in a complete graph and is applied to the case study of Arnhem, the Netherlands. For this case study it has been shown that for a minimum fleet size following the imposed constraints, the operational costs range between 0.84 and 1.22 Euros and the average passenger wait time ranges between 2 and 6 min, according to the assumptions made on demand and operational parameters. The operational costs of the ADRTS showed to be in the same range of the current bus system, while providing a demand-responsive transport service with an average waiting time of around 4 min per passenger-trip. The economies of scale, which play an important role in public transport, are also apparent in the simulated ADRTS operations.http://www.sciencedirect.com/science/article/pii/S2046043018300285Demand responsive transportShared automated vehiclesCost determinationFleet size determinationFlexible public transport
spellingShingle Konstanze Winter
Oded Cats
Gonçalo Correia
Bart van Arem
Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service
International Journal of Transportation Science and Technology
Demand responsive transport
Shared automated vehicles
Cost determination
Fleet size determination
Flexible public transport
title Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service
title_full Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service
title_fullStr Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service
title_full_unstemmed Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service
title_short Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service
title_sort performance analysis and fleet requirements of automated demand responsive transport systems as an urban public transport service
topic Demand responsive transport
Shared automated vehicles
Cost determination
Fleet size determination
Flexible public transport
url http://www.sciencedirect.com/science/article/pii/S2046043018300285
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AT odedcats performanceanalysisandfleetrequirementsofautomateddemandresponsivetransportsystemsasanurbanpublictransportservice
AT goncalocorreia performanceanalysisandfleetrequirementsofautomateddemandresponsivetransportsystemsasanurbanpublictransportservice
AT bartvanarem performanceanalysisandfleetrequirementsofautomateddemandresponsivetransportsystemsasanurbanpublictransportservice