Geneva / Brisbane / New York / Pisa / Ithaca / Berlin / Cambridge / New York City / /
Company
Richards AG / General Electric / Geographic Information Systems / MIT Press / COMPUTER SCIENCES / Oracle / Proc IEEE Intelligent Transportation Systems / Volkswagen / Ericsson / McGraw-Hill / Bloomberg / The Coca Cola Company / Shareability Networks / /
Country
Italy / United States / Singapore / /
Currency
USD / / /
Event
Environmental Issue / /
Facility
Cornell University / Massachusetts Institute of Technology / University of California / /
IndustryTerm
social-sharing systems / suitable faring systems / biochemical systems / Online model / transportation / gigantic search space / travel time savings / prolonged travel time / taxi-sharing systems / reagents/analytic tools / real-time applications / taxi services / communication technologies / minimal total travel time / public mobility infrastructure / public transportation / realistic taxi-sharing systems / classical algorithms / maximum matching solution / street network / Online model trip sharing decisions / appropriate incentive systems / taxi systems / oil crisis / actual search / urban transportation / short-range travel demand predictions / realistic online system / urban mobility infrastructure / smarter transportation systems / saved travel time / heuristic algorithm / longer travel time / travel time increase / Large urban taxi systems / street intersection network / real-time data / taxi ride-sharing systems / personalized transportation / min time Online max / Online min time / taxi-sharing services / travel time / e-hailing / urban computing / weighted maximum matching solution / social network / real-time information / software application / social-sharing applications / /
Organization
World Health Organization / Limousine Commission / University of California / Santa Barbara / MIT Senseable City Lab Consortium / Massachusetts Institute of Technology / Senseable City Laboratory / Cornell University / Enel Foundation / Alliance for Research and Technology / Ambient Intelligence / MIT Center for Complex Engineering Systems / /
Person
Ann Oper Res / Michael Szella / Steven H. Strogatzc / Stanislav Sobolevskya / Carlo Rattia / Giovanni Restab / Paolo Santia / Barrett SR / Michael F. Goodchild / /
Quantifying the benefits of vehicle pooling with shareability networks Paolo Santia,b, Giovanni Restab, Michael Szella,1, Stanislav Sobolevskya, Steven H. Strogatzc, and Carlo Rattia a Senseable City Laboratory, Massachu