Tri-POP is an online platform for operations of smart mobility solutions. In its core it combines online analytics for prediction, optimization, and personalization. It uses a bi-level optimization of system and user levels. The system optimization problem is solved periodically (e.g., every 5 minutes) to determine the optimal policy (e.g., pricing, fleet rebalancing, incentive allocation) for attaining system-level objectives (e.g., travel time, welfare, revenue).

In our applications the online prediction and the system level optimization are performed by DynaMIT, a simulation-based Dynamic Traffic Assignment (DTA) system that combines historical traffic data and real-time surveillance information through online calibration. The user optimization problem is triggered at every user request to determine a customized menu of options based on individual-level preferences. Online Bayesian inference is employed to update users’ preferences as users make choices. Machine learning algorithms infer the user choices using smartphone sensors. In our applications the user level algorithms are embedded in the Future Mobility Sensing (FMS) platform. Tri-POP is illustrated through applications to flexible mobility on demand, sustainable travel incentives, personalized tolling of managed lanes, and deliveries on demand.

Simulation experiments demonstrate the potential benefits of Tri-POP to regulators, operators and users.

Moshe Ben-Akiva is the Edmund K. Turner Professor of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), Director of the MIT Intelligent Transportation Systems Lab, and Principal Investigator at the Singapore-MIT Alliance for Research and Technology.

He holds a PhD degree in Transportation Systems from MIT and was awarded honorary degrees from the University of the Aegean, the Université Lumiére Lyon, the KTH Royal Institute of Technology, and the University of Antwerp. His awards include the Robert Herman Lifetime Achievement Award in Transportation Science from the Institute for Operations Research and the Management Sciences, the Lifetime Achievement Award of the International Association for Travel Behavior Research, the Jules Dupuit prize from the World Conference on Transport Research Society, and the Institute of Electrical and Electronics Engineers ITS Society Outstanding Application Award for DynaMIT, a system for dynamic network management.

Ben-Akiva has co-authored two books, including the textbook Discrete Choice Analysis, published by MIT Press, and nearly 400 papers in refereed journals or refereed conferences. He has worked as a consultant in industries such as transportation, energy, telecommunications, financial services and marketing for a number of private and public organizations, including Hague Consulting Group, RAND Europe, and Cambridge Systematics, where he was previously a Senior Principal and member of the Board of Directors. He also was an advisor to Memetrics and ChoiceStream, provided litigation support to Analysis Group and Brattle Group and is the Chief Scientific Advisor to Mobile Market Monitor. He was recently a member of the Future Interstate Highway System Committee of the National Academies of Sciences, Engineering, and Medicine.

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