From Data to Algorithms and Back: Making Urban Public Transport Adaptive

Researchers: Itzhak Benenson (Geography), Tal Raviv (Industrial Engineering)

 

We investigate the future of the adaptive urban Demand-Responsive Transport (DRT), focusing on the Shared Autonomous Vehicles (SAV), in respect to the potential travelers’ demand and possible self-organization of the DRT service into the set of the semi-flexible, in space and in time, routes.

 

The demand side is analyzed based on the June 2019 database of the Israeli Smartcard (Rav Kav) transactions containing 65M records. The supply side is investigated with the Multi-Agent Transportation Simulation (MATSim) model established for the Jerusalem Metropolitan Area, with its 1.1M population of daily travelers.

 

We apply MATSim for investigating potential utility of the DRT/SAV in comparison to the other modes of public transport and private car in regards to the DRT/SAV fleet size and operation.

 

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