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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Impacts of Vehicle Sharing with Driverless Cars on Urban Transport
verfasst von : Markus Friedrich, Maximilian Hartl, Christoph Magg
Erschienen in: Simulation Science
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Abstract
Autonomous vehicles (=AV) enabling driverless transport may change the ways of traveling and traffic volumes dramatically. To estimate potential impacts of AV on traffic in an urban area nine scenarios are examined, varying the rate of carsharing, ridesharing and the availability of rail services. The number of required vehicles, vehicle kilometers and the necessary number of parking spaces quantify each scenario.
The study builds on an existing travel demand model of the Stuttgart Region. An algorithm extends this model for bundling person trips in ridesharing systems and by an algorithm for vehicle blocking. The results show that the size of the car fleet can be reduced considerably. The vehicle kilometers traveled in the network, can only be reduced in cases where most travelers use ridesharing instead of carsharing or privately owned cars. However, an increase of the car kilometers traveled is more likely and may lead to a lower quality of traffic flow.