01657471

Component

Transportation network companies (TNCs) are regularly demonstrating the economic and operational viability of dynamic ride-sharing (DRS) to any destination within a city, thanks to real-time information from smartphones. In the foreseeable future, fleets of shared automated vehicles (SAVs) may largely eliminate the need for human drivers, while lowering per-mile operating costs and increasing the convenience of travel. This may dramatically reduce private vehicle ownership and deliver extensive use of SAVs. This study anticipates DRS matches across different travelers by using AirSage’s cellphone-based trip tables across 1,267 zones over 30 days. Assuming that the travel patterns do not change significantly in the future, the results suggest significant opportunities for DRS-enabled SAVs. Nearly 70% of the trips could be shared with less than 5 minutes added travel time (to make the match), and this value climbs to 90% for 15 to 30 minutes of added wait or travel time.

This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies. Alternate title: Analyzing the Dynamic Ridesharing Potential for Shared Autonomous Vehicle Fleets Using Cell Phone Data from Orlando, Florida

18-01063

English

8p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Automobile ownership; Autonomous vehicles; Demand responsive transportation; Dynamic models; Intelligent vehicles; Real time information; Ridesharing; Smartphones; Travel behavior; Travel patterns; Vehicle sharing

Orlando (Florida)

Data and Information Technology; Passenger Transportation; Planning and Forecasting; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-01063

TRIS, TRB, ATRI

Jan 8 2018 10:16AM