Inductive loopĭetectors are widely used in the United States to provide traffic data for advanced traffic management systems Needed to address the technical and other organizationalĬhallenges involved in data integration. Bringing compatibility to the disparate data sets isĬhallenging because each system usually is characterizedīy limited capability. Property which is more and more required by end-users (DIS), data/information quality is becoming a first class With the development of data integration system Informed and comprehensive transportation decisionmaking. Highly organized and integrated data can support That is, data quality might not be good enough for a right decision if the data were not processed Results suggest that distortion of control delay estimation at a signalized intersection exists due to an improperĪggregation. It is found that 2% to 5% (about one standardĭeviation from the mean) reduction in PHF may have 5 to 20 seconds increase in control delay estimation. By processing the raw data with the introduced approaches,ĭifferent PHFs can be determined from a same traffic dataset. Peak hour factor is commonly used in Highway Capacity Manualįor determining and evaluating future system needs. Such a quality issue for data integration systems. Three approaches estimatingĪ peak hour factor based on traffic volume from loop detection systems are introduced in this paper to explore A biased conclusionĬould be drawn from a data integration system consisted of this kind of distortions. Valuable traffic information like flow variation may be distorted when the lower resolution aggregation is practiced. 15-minute, resolution and then the raw data were lost. Practically, these measures would sometimes be furtherĪggregated into a much lower, e.g. Measures like 20-second or 30-second average velocity, flow, and lane occupancy can be aggregated from individual loop detector actuation sampled at 60 Hz typically.
Received 24 March 2013 accepted 29 July 2013Ībstract: Inductance loop detection systems serve as a primary data source to contemporary traffic information systems.
Knoxville, TN 37932, USAĢ Department of Civil & Environmental Engineering, The University of Tennessee,ġ12 Perkins Hall, Knoxville, TN 37996-2010, USAģ Department of Electrical and Computer Engineering, Old Dominion University, Han2, Chung-Hao Chen3Ģ370 Cherahala Blvd. Impact of data resolution on peak hour factor
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