Impacts of Vehicle Sharing with Driverless Cars on Urban Transport

Friedrich, Markus; Hartl, Maximilian; Magg, Christoph

doi:10.1007/978-3-319-96271-9_2

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Macroscopic approaches to the subject of shared automated vehicle fleets are scarce. Furthermore, those studies using macroscopic models, as for example [5] for the Paris region and [6] for the Stuttgart region, often skip the calculation step of mode choice. Instead they assume shares of ridesharing trips and examine the effects.…”

mentioning

confidence: 99%

Integrating ridesharing services with automated vehicles into macroscopic travel demand models

Richter

Friedrich

Migl

et al. 2019

2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

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As the introduction of fully automated vehicles enhances the attractiveness of carsharing and ridesharing systems, cities and regions may want to examine the effects of this development. This paper presents a framework for how to integrate those services in traditional macroscopic travel demand models, which are commonly used to evaluate the impacts of changed transport supply. Addressed topics are (1) the implementation of direct and intermodal ridesharing into the demand modeling process, presenting two approaches for the latter, (2) the pooling of ridesharing trips and (3) the scheduling of automated and shared vehicles. The first approach for integrating intermodal ridesharing includes ridesharing as an additional transport system, which uses the road network and which is integrated in the timetable-based public transport assignment. The second approach uses direct-link connections between traffic zones and suitable public transport transfer stops for the ridesharing feeder trips instead. Using the second approach, preliminary results of a test scenario for the Stuttgart region are presented.

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confidence: 99%

Integrating ridesharing services with automated vehicles into macroscopic travel demand models

Richter

Friedrich

Migl

et al. 2019

2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

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Auswirkungen des automatisierten Fahrens

Schippl,

Pitzen,

Aleksa

et al. 2023

Automatisierter ÖPNV

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ZusammenfassungIn Kap. 3 wird zunächst aufgezeigt, welche verkehrlichen Folgen und Risiken mit avF einhergehen können und wie diese von der Nutzungsform und der Regulierung automatisierter Fahrzeuge abhängen. Weiter behandelt werden die Anforderungen von avF an Infrastrukturen wie Straßen, Parkraum, aber auch an die digitale Verkehrsinfrastruktur, wie z. B. Lichtsignalanlagen, Verkehrsbeeinflussungsanlagen oder Kommunikationsplattformen. Anschließend behandelt das Kapitel Fragen des derzeitigen und zukünftigen Datenbedarfs von avF im Mobilitätssystems und – damit verknüpft – Aspekte der Datensicherheit bzw. Cyber-Security. Auch das Thema Verkehrssicherheit im Mischverkehr von avF und mit vulnerablen Verkehrsteilnehmergruppen wird lösungsorientiert beleuchtet. Wie das automatisierte und vernetzte Fahren einen Beitrag für die Attraktivitätssteigerung und den Kapazitätsausbau des ÖPNV beitragen kann, wird ebenso behandelt wie für die Umsetzung von afV relevante gesellschaftliche und ethische Aspekte.

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Technology assessment and the governance of automated vehicles: a Collingridge-dilemma or a lack in normative orientation?

Schippl

2024

Journal of Responsible Innovation

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Impacts of Vehicle Sharing with Driverless Cars on Urban Transport

Cited by 3 publications

References 6 publications

Integrating ridesharing services with automated vehicles into macroscopic travel demand models

Integrating ridesharing services with automated vehicles into macroscopic travel demand models

Auswirkungen des automatisierten Fahrens

Technology assessment and the governance of automated vehicles: a Collingridge-dilemma or a lack in normative orientation?

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