Real-time measurement of link vehicle count and travel time in a road network

Authors:
Karric Kwong;Robert Kavaler;Ram Rajagopal;Pravin Varaiya
Affiliations:
Sensys Networks, Inc., Berkeley, CA;Sensys Networks, Inc., Berkeley, CA;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA;Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA
Venue:
IEEE Transactions on Intelligent Transportation Systems
Year:
2010

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Abstract

Asystem is described that measures the vehicle count and travel time in the links of a road network. The measurements require matching vehicle signatures recorded by a wireless magnetic sensor network. The matching algorithm is based on a statistical model of the signatures. The model itself is estimated from the data. The approach is first discussed for a single-lane road and extended to multiple-lane roads. The algorithm yields a correct matching rate of 75% for a false matching rate of 5% and reliably estimates the number of vehicles on each link and its travel-time distribution. The system is tested on a 0.9-mi-long segment of San Pablo Avenue, Albany, CA.