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Information Design and Price Mechanisms in Platforms for Cyber-Physical Systems with Learning Agents
Submitted by Lillian Ratliff on January 9th, 2020
Abstract:
Parking can take up a significant amount of the trip costs (time and money) in urban travel. As such, it can considerably influence travelers' choices of modes, locations, and time of travel. The advent of smart sensors, wireless communications, social media and big data analytics offers a unique opportunity to tap parking's influence on travel to make the transportation system more efficient, cleaner, and more resilient.
Submitted by Anonymous on February 1st, 2016