|
Title: Integrating Intersection Traffic Signal Data into a Traffic Monitoring Program
Accession Number: 01593870
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: There are ongoing efforts to leverage the large volume of data collected to support real-time traffic operations for various non-real-time uses. However, adapting data streams to a different purpose can be challenging, especially if different applications use the data in different ways. Although traffic operations and traffic monitoring programs often use similar technology for vehicle detection, they may have different sensitivities to potential errors. Although small errors in traffic counts may not be critical in traffic operations, for which data are refreshed every few seconds, the same error levels could become much more significant in traffic monitoring, for which data, and the corresponding errors, are typically aggregated over longer periods of time. This study investigates if and how traffic volume data from detectors at signalized intersections could be appropriately used in a traffic monitoring program that supports the Highway Performance Monitoring System (HPMS). For this purpose, this study evaluates both the accuracy and representativeness of these traffic signal detector data in comparison to standard HPMS-type traffic count data obtained by portable pneumatic counters under different traffic flow conditions and intersection geometries. The results, although varying by site, indicate that these traffic signal detectors can produce 15-min aggregate traffic counts of comparable quality to results from portable pneumatic tube counters and provide 90% accuracy at a 95% level of confidence for 15-min aggregate counts. Through an examination of the representativeness of the data under different conditions, the study develops a set of eligibility criteria that can be used to identify intersections that are suitable for performance monitoring data collection.
Monograph Title: Traffic Monitoring: Automobiles, Trucks, Bicycles, and Pedestrians Monograph Accession #: 01594375
Report/Paper Numbers: 16-4355
Language: English
Authors: Guin, AngshumanHunter, MichaelRodgers, MichaelAnderson, JamesSusten, ScottWiegand, KiisaPagination: pp 74–84
Publication Date: 2016
ISBN: 9780309369732
Media Type: Print
Features: Figures
(6)
; Maps; Photos; References
(14)
; Tables
(1)
TRT Terms: Identifier Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management
Files: PRP, TRIS, TRB, ATRI
Created Date: Jan 12 2016 5:56PM
More Articles from this Serial Issue:
|