Autonomous car- and ridesharing systems: Simulation-based analysis of potential impacts on the mobility market
Year: 2017
Type: conference-paper
Abstract: Based on German NHTS data (MiD 2008) • 60k persons • 190k reported trips • 35k vehicles • Trip generation: socio-demographic projection to 2035 • # individuals per area type (urban, suburban, rural) • # individuals per age group and gender • # driver licenses (cohort effect) • Diffusion of AVs into the private fleet (rates depend on vehicle class) • Mobilisation of new user groups (impaired, no drivers license, teenagers) • Reduction of VTTS in AVs (-25%) • Reduction of access and egress times Travel demand generation for Germany in 2035 > hEART 2017 > Autonomous car-and ride-sharing systems • Benjamin Kickhöfer • 13.09.2017DLR.de • Slide 6 For details, see Trommer et al. (2016) New modes: Autonomous Car-or Ridesharing > hEART 2017 > Autonomous car-and ride-sharing systems • Benjamin Kickhöfer • 13.09.2017
Source: elib (German Aerospace Center)
Authors: Kickhöfer, Benjamin, Kröger, Lars
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7086604477