Campuses:

The Effect of Data and Analytics on Smart Mobility and Transportation System

Monday, May 15, 2017 - 2:25pm - 2:55pm
Lind 305
Jiaqi Ma (Ford Motor Company)
Many cities face the challenges of an increasing population and an increasing rate of private vehicle ownership. The resulting rise in congestion, lack of parking, and pollution cause complicated problems for cities. Data and analytics is the key part to solve the mobility challenge. It not only involves optimization algorithm, demand forecasting model but also simulation system. We are actively working on several mobility projects worldwide including on demand shuttle bus, ride sharing, rebalancing, parking, and dynamic pricing and so on. Parking probability forecasting system is one of the key projects we are working on. It provides an effective way to reduce parking search time by presenting drivers with dynamic information on parking.