Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation
Kockelman, Kara M.
Bösch, Patrick M.
- Working Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
This study provides a large-scale micro-simulation of transportation patterns in a metropolitan area when relying on a system of shared autonomous vehicles (SAVs). The six-county region of Austin, Texas is used for its land development patterns, demographics, networks, and trip tables. The agent-based MATSim toolkit allows modelers to track individual travelers and individual vehicles, with great temporal and spatial detail. MATSim’s algorithms help improve individual travel plans (by changing tour and trip start times, destinations, modes, and routes). Here, the SAV mode requests were simulated through a stochastic process for four possible fare levels: $0.50, $0.75, $1, and $1.25 per trip-mile. These fares resulted in mode splits of 50.9%, 12.9 %, 10.5%, and 9.2% of the region’s person-trips, respectively. Mode choice results show longer-distance travelers preferring SAVs to private, human-driven vehicles (HVs) - thanks to the reduced burden of SAV travel (since one does not have to drive the vehicle). For travelers whose households do not own an HV, SAVs (rather than transit, walking and biking) appear preferable for trips under 10 miles, which is the majority of those travelers’ trip-making. It may be difficult for traditional transit services and operators to survive once SAVs become available in regions like Austin, where dedicated rail lines and bus lanes are few. Simulation of SAV fleet operations suggest that higher fare rates allow for greater vehicle replacement (ranging from 5.6 to 7.7 HVs per SAV, assuming that the average SAV serves 17 to 20 person-trips per day); this is due to travel demands shifting away from longer trip distances, when fares rise. Empty vehicle miles traveled by the fleet of SAVs ranged from 7.8 percent to 14.2 percent, across the scenarios in this study. Implications of mobility and sustainability benefits of SAVs are also discussed in the paper Show more
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Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherIVT, ETH Zürich
SubjectShared Autonomous Vehicles; Car-sharing; Agent-Based Simulation; Mode Choice; Travel Demand Modeling
Organisational unit03521 - Axhausen, Kay W.
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
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Is previous version of: https://doi.org/10.3929/ethz-b-000181078
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