| Document Date: 2013-11-20 14:37:53
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City Nanjing / Park City / Lausanne / Yokohama / / Company International Energy Agency / Ford / / Country Japan / United States / China / / / Facility Environmental Engineering Massachusetts Institute of Technology Cambridge / / IndustryTerm urban transportation problems / derivative-free trust region algorithm / hypothetical transportation / average travel time / expected trip travel time / expected travel time / energy consumption / Energy-efficient urban traffic management / road network / urban network / signal optimization tool / vehicle-technology dependent / urban transportation infrastructure / transportation norms / car following / transportation projects / travel time / vehicle technologies / trip travel time / travel times / average travel times / improved travel time / linear network / oil use / vehicle-specific technologies / hypothetical linear network / hypothetical networks / vehicle technology / expected vehicle travel time / energy / sustainable transportation strategies / modeled using car following / / Organization Institute of Technology Cambridge / Department of Civil / Massachusetts Institute of Technology / / Person Van Aerde / Carolina Osorio / / / Position Driver / general queueing network model of Osorio / / Product Ford Fiesta / / ProvinceOrState Utah / Massachusetts / / Technology vehicle technologies / specific technologies / vehicle-specific technologies / derivative-free trust region algorithm / queueing theory / SO algorithm / Environmental Engineering / vehicle technology / simulation / /
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Energy-efficient urban traffic management: a microscopic simulation-based approach Carolina Osorio ∗ Kanchana Nanduri † Department of Civil & Environmental Engineering Massachusetts Institute of Technology