Intelligent and Traffic Anomaly Diagnosis through the Integration of Diverse Information Sources
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Using Real-Time Traffic Data to Improve Traffic Flow




A research grant proposal submitted on April 15, 2004 to:
University Transportation Centers Program
UTC Region One: New England
UTC year 17: 9/1/2004 – 8/31/2005

Principal Investigators and Related Researchers: Natacha Thomas, Assistant Professor of Civil and Environmental Engineering, University of Rhode Island, thomas@egr.uri.edu
Chris Hunter, Assistant Professor of Civil and Environmental Engineering, University of Rhode Island, hunter@egr.uri.edu
Joan Peckham, Professor of Computer Science and Statistics, University of Rhode Island, joan@cs.uri.edu
Peter Swaszek, Professor of Electrical and Computer Engineering, University of Rhode Island, swaszek@ele.uri.edu
Paul Shuldiner, Director of the University of Massachusetts Transportation Center and Professor Emeritus of Civil and Environmental Engineering, University of Massachusetts, shuldiner@ecs.umass.edu


Abstract:
The recent installation of traffic monitoring equipment by Mobility Technologies in the greater Providence RI area provides an unprecedented opportunity to study real traffic flows in a mix of urban and suburban New England. This equipment provides average speed, occupancy, and volume data (on 30-second intervals) at 40 sensor sites on roadways blanketing the Providence area – I-95 north and south of the city with feeder roads I-195, Rte 146, Rte 10, and Rte 6 in Providence and Rte 4 in the southern suburbs, and Rte 295 as an alternate around Providence. Through agreements with both Mobility Technologies and RIDOT, and in collaboration with the UMASS Transportation Center, this group plans to employ this data to refine methods and calibrate models for travel time prediction and incident detection under normal and incident conditions.


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