[1] Office of Highway Policy Information, “Traffic Monitoring Guide,” US Department of Transportation/Federal Highway Administration, Washington DC, 2001.
[2] E. Stolz, “State Department of Transportation’s (DOT’s) Travel Monitoring Survey Results Report,” Colorado DOT, Division of Transportation Development, Denver, 2007.
[3] L. A. Klein, “Sensing Technologies and Data Requirements for ITS,” Artech House Publishers, Norwood, 2001.
[4] D. Middleton, H. Charara and R. Longmire, “Alternative Vehicle Detection Technologies for Traffic Signal Systems: Technical Report,” Texas Transportation Institute, The Texas A&M University System, College Station, 2009.
[5] X. Yu, “Evaluation of Non-Intrusive Sensors for Vehicle Classification on Freeways,” Proceedings of 2nd International Symposium on Freeway and Tollway Operations, Honolulu, 21-24 June 2009, 13p.
[6] B. W. Grone, “An Evaluation of Non-Intrusive Traffic Detectors at the Ntc/Ndor Detector Test Bed,” Master Thesis, University of Nebraska, Lincoln, 2012.
[7] E. Minge, “Evaluation of Non-Intrusive Technologies for Traic Detection,” Research Project, Final Report #2010-36, Minnesota Department of Transportation, Saint Paul, 2010.
[8] P. D. Prevedouros, “Detector Installation and Tests: Final Report,” Project Report, University of Hawaii at Manoa, Manoa, 2004.
[9] US Department of Transportation/Federal Highway Administration, “Traffic Detector Handbook,” 3rd Edition, US Department of Transportation/Federal Highway Administration, Washington DC, 2006.
[10] X. Yu, P. D. Prevedouros and G. Sulijoadikusumo, “Evaluation of Autoscope, Smart Sensor HD and TIRTL for Vehicle Classification,” Transportation Research Record, Transportation Research Board, Washington DC, 2010.
[11] X. Yu, G. Sulijoadikusumo, H. L. Li and P. Prevedouros, “Reliability of Automatic Traffic Monitoring with NonIntrusive Sensors,” Proceedings of the 11th International Conference of Chinese Transportation Professionals, Nanjing, 14-17 August 2011, pp. 4157-4169. doi:10.1061/41186(421)414
[12] Texas Transportation Institute, “Assessing Vehicle Detection Utilization Videp Image Processing Technology,” Texas Department of Transportation, Austin, 1996.
[13] P. D. Prevedouros, J. Ji, K. Papandreou, P. Kopelias and V. Vegiri, “Video Incident Detection Tests in Freeway Tunnels,” Transportation Research Record, Transportation Research Board, Washington DC, 2006