Simulator Helps Cities Test A Future Of On-Demand Transit

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        The simulator, from the tech company TransLoc, uses local data that a city already has–about factors such as population density, economics of neighborhoods, and traffic patterns–to simulate demand. Then it uses an algorithm (the same Uber-like algorithm that would be used in real-life operation) to assign rides to vehicles to let cities see how routes might look.
        “Cities know this is necessary,” says Rahul Kumar, VP of revenue at TransLoc. “They see the success Uber and Lyft are having, but they have so many things on their plate that it’s really difficult for them to solve this problem.”

         

        In Ohio, Greater Dayton Regional Transit Authority is using the simulator to evaluate the possibility of shifting its paratransit service to an on-demand system. “The current way you deliver that service…is a seven day in advance process,” says Brandon Policicchio, chief customer and business development officer at the agency.

        “It’s a very convoluted scheduling system. We really wanted to look at microtransit as a better way to deliver service to that population. We felt that typically this is the last of the groups to be thought about when rolling these things out, and we thought it was critical to have that component in place first, and from there, add on the general public.”


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