Automated Vehicles are Expected to Increase Driving and Emissions Without Policy Intervention

Caroline Rodier, Miguel Jaller, Elham Pourrahmani, Anmol Pahwa, Joschka Bischoff and Joel Freedman

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: Researchers at UC Davis explored what an automated vehicle future in the San Francisco Bay Area might look like by simulating: 1) A 100% personal automated vehicle future and its effects on travel and greenhouse emissions. 2) The introduction of an automated taxi service with plausible per-mile fares and its effects on conventional personal vehicle and transit travel. The researchers used the Metropolitan Transportation Commission’s activity-based travel demand model (MTC-ABM) and MATSim, an agent-based transportation model, to carry out the simulations. This policy brief summarizes the results, which provide insight into the relative benefits of each service and automated vehicle technology and the potential market for these services. View the NCST Project Webpage

Keywords: Engineering; Social and Behavioral Sciences; Intelligent vehicles; Multi-agent systems; Multimodal transportation; Public transit; Ridesharing; Simulation; Traffic simulation; Travel behavior; Travel demand; Value of time (search for similar items in EconPapers)
Date: 2020-03-01
New Economics Papers: this item is included in nep-cmp, nep-ene, nep-env, nep-reg, nep-tre and nep-ure
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