Highlights Agent-based analysis of shared automated vehicles’ (SAVs’) density and demand impacts. Across 22 scenarios for MSP, empty travel was 7.2% to 25.2% of total fleet miles. Not allowing SAV parking on the busiest streets resulted in 8% more fleet miles. Higher trip density (27x) delivered 5% more pooling and 23% lower response times. Battery-electric fleets can further lower energy use by 64% and emissions by 68%.

    Abstract This study micro-simulates 2% and 5% of the region’s 9.5 million daily person-trips and 20% of trips in the central Twin Cities with shared autonomous vehicles (SAVs) in the 7-county Minneapolis–Saint Paul region using MATSim to appreciate the effects of different trip-making densities and curb-use restrictions. Results suggest the average SAV in this region can serve at most 30 person-trips per day with less than 5 min average wait time, but generates 13% more vehicle-miles traveled (VMT). With dynamic ride-sharing (DRS), SAV VMT fell, on average, by 17% and empty VMT (eVMT) fell by 26%. Compared to idling-at-curb scenarios, parking-restricted scenarios generated 8% more VMT. Relying on 52 mi/gallon hybrid electric SAVs, as opposed to a 31 mi/gallon conventional drivetrain SAV, is estimated to lower travelers’ energy use by 21% and reduce tailpipe emissions by 30%, assuming no new or longer trips. Similarly, a 106 mi/gallon equivalent battery-electric fleet does much better by lowering energy use by 64%.


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    Title :

    Shared autonomous vehicle fleet performance: Impacts of trip densities and parking limitations


    Contributors:


    Publication date :

    2020-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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