Over the past decades, tremendous investments have been made to advance technologies in computing, sensing, and communication to collect, process, and disseminate transportation related data. As such, transportation system operators and users have timely information to make educated decisions to improve safety and mitigate congestion. These investments can become more productive if the following problems can be properly addressed: (1) effective algorithms to process huge volume of transportation data, (2) creative approaches to merge a variety of transportation data, (3) advanced tools to increase the velocity of information retrieving, processing, and delivering. This research aspires to explore solutions to these problems and the effort will be facilitated by the Regional Traveler Information Center (RTIC) at UMass Amherst. As a starting point, this research will focus on two basic problems: (1) variety: developing effective algorithms to convert traffic data in different forms so that these data can be merged to provide complementary perspectives on the real system, and (2) velocity: developing applications to disseminate transportation information in a timely fashion to enable better decision-making by road users, system operators, and emergency responders..
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United States Department of Transportation
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