TY - JOUR
T1 - Comparison of light rail streetcar against shared autonomous vehicle fleet for Brooklyn–Queens connector in New York City
AU - Mendes, Lucas Mestres
AU - Bennàssar, Manel Rivera
AU - Chow, Joseph Y.J.
N1 - Funding Information:
Lucas Mestres Mendes was supported by the New York University Undergraduate Summer Research Program. Manel Rivera Bennàssar was supported by a Fulbright scholarship.
Publisher Copyright:
© 2017, SAGE Publications Ltd. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Policy makers predict that autonomous vehicles will have significant market penetration in the next decade or so. In several simulation studies shared autonomous vehicle fleets have been shown to be effective public transit alternatives. This study compared the effectiveness of a shared autonomous vehicle fleet with an upcoming transit project proposed in New York City, the Brooklyn–Queens Connector light rail project. The study developed an event-based simulation model to compare the performance of the shared autonomous vehicle system with the light rail system under the same demand patterns, route alignment, and operating speeds. The simulation experiments revealed that a shared autonomous vehicle fleet of 500 vehicles of 12-person capacity (consistent with the EZ10 vehicle) would be needed to match the 39-vehicle light rail system if operated as a fixed-route system. However, as a demand-responsive system, a fleet of only 150 vehicles would lead to the same total travel time (22 min) as the 39-vehicle fleet light rail system. Furthermore, a fleet of 450 12-person vehicles in a demand-responsive operation would have the same average wait times while reducing total travel times by 36%. The implications for system resiliency, idle vehicle allocation, and vehicle modularity are discussed.
AB - Policy makers predict that autonomous vehicles will have significant market penetration in the next decade or so. In several simulation studies shared autonomous vehicle fleets have been shown to be effective public transit alternatives. This study compared the effectiveness of a shared autonomous vehicle fleet with an upcoming transit project proposed in New York City, the Brooklyn–Queens Connector light rail project. The study developed an event-based simulation model to compare the performance of the shared autonomous vehicle system with the light rail system under the same demand patterns, route alignment, and operating speeds. The simulation experiments revealed that a shared autonomous vehicle fleet of 500 vehicles of 12-person capacity (consistent with the EZ10 vehicle) would be needed to match the 39-vehicle light rail system if operated as a fixed-route system. However, as a demand-responsive system, a fleet of only 150 vehicles would lead to the same total travel time (22 min) as the 39-vehicle fleet light rail system. Furthermore, a fleet of 450 12-person vehicles in a demand-responsive operation would have the same average wait times while reducing total travel times by 36%. The implications for system resiliency, idle vehicle allocation, and vehicle modularity are discussed.
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U2 - 10.3141/2650-17
DO - 10.3141/2650-17
M3 - Article
AN - SCOPUS:85045621696
SN - 0361-1981
VL - 2650
SP - 142
EP - 151
JO - Transportation Research Record
JF - Transportation Research Record
IS - 1
ER -