- National Transportation Statistics, Bureau of Transportation Statistics, U. S. Department of Transportation, Washington, D. C, 2007.
- Bremmer, D., K. Cotton, D. Cotey, and C. Prestrud. Measuring congestion: learning from operational data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1895, Transportation Research Board of the National Academies, Washington, D. C., 2004, pp. 186-196.
- Massey, A., G. W. Saylor, H. W. Wood, B. Baur, and E. Hauser. Summary of ITS best management practices and technologies for the state of Ohio. In Proceedings of ASCE Conference, October 2001, pp. 127-134.
- Safirova, E., K. Gillingham, W. Harrington, and P. Nelson. Are HOT Lanes a HOT Deal? The Potential Consequences of Converting HOV to HOT Lanes in Northern Virginia. Urban Complexities Issue Brief, Washington, D. C., Resources for the Future, 2003.
- Fielding, G. J., and D. B. Klein. High Occupancy/Toll Lanes: Phasing in Congestion Pricing a Lane at a Time. Policy study 170. Los Angeles: Reason Foundation, November 1993.
- Ungemah, D., and M. Swisher. So You Want To Make a High-Occupancy Toll Lane? Project Manager‟s Guide for Conversion from High-Occupancy Vehicle Lane to High-Occupancy Toll Lane. In Transportation Research Record: Journal of the Transportation Research Board, No. 1960, Transportation Research Board of the National Academies, Washington, D. C., 2006, pp. 94-98.
- Appiah, J., and M. W. Burris. QuickRide User Response to Different HOT Lane Operating Scenarios. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D. C., 2005.
- Halvorson, R., M. Nookala, and K. R. Buckeye. High-Occupancy Toll Lane Innovations: I-394 MnPASS. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D. C., 2006. 130
- Mowday, M. Equity and High-Occupancy Toll Lanes: Literature Review and Minnesota‟s Perceptions About I-394 High Occupancy Toll Lanes. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D. C., 2006.
- Frank D., J. Zmud and T. Patterson. Pricing Comes to Minnesota: Attitudinal Evaluation of I-394 HOT Lane Project. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D. C., 2006.
- Zhang, G., Y. Wang, H. Wei, and P. A. Yi. Feedback-Based Dynamic Tolling Algorithm for High-Occupancy Toll Lane Operations. In Transportation Research Record: Journal of the Transportation Research Board, No. 2065 Transportation Research Board of the National Academies, Washington, D. C., 2008, pp. 54-63.
- Jain, M., and B. Coifman. Improved Speed Estimates from Freeway Traffic Detectors. ASCE Journal of Transportation Engineering, Vol. 131, No. 7, 2005, pp. 483-495.
- Garry F. L. Travel Time Estimation on Freeways Using Loop Detectors and AVI Technologies. Compendium: Graduate Student Papers on Advanced Surface Transportation Systems, Southwest Region University Transportation Center, Texas Transportation Institute, Texas A&M University System, College Station, TX. 1998, pp. 115-152.
- Smith, B. L., R. B. Holt, and B. Park. Travel time estimation for urban freeway performance measurement: understanding and improving upon the extrapolation method. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D. C., 2004.
- Turner, S. M., S. M. Eisele, R. J. Benz, and D. J. Holdener. Travel time data collection handbook. Report No. FHWA-PL-98-035, Texas Transportation Institute, Texas A&M Univ., College Station, Texas, 1998.
- Li, R., G. Rose, and M. Sarvi. Evaluation of speed-based travel time estimation models. Journal of Transportation Engineering, Vol. 132, No. 5, 2006, pp. 540- 547.
- Nanthawichit, C., T. Nakatsuji, and H. Suzuki. Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway. In Transportation Research Record: Journal of Transportation Research Board, No. 1855, Transportation Board of National Academics, Washington, D. C., 2003, pp. 49-59.
- Westerman, M., R. Litjens, and J. Linnartz. Integration of Probe Vehicle and Induction Loop Data Estimation of Travel Times and Automatic Incident Detection. 131 Publication UCB-ITS-PRR-96-13. California Partners for Advanced Transit and Highways (PATH), University of California, Berkeley, 1996.
- Bloomberg, L. D., V. W. Bacon, and A. D. May. Freeway Detector Data Analysis for Simulation of The Santa Monica Freeway - Initial Investigations. Publication UCB-ITS-PWP-93-1, California Partners for Advanced Transit and Highways (PATH), University of California, Berkeley, 1993.
- El-Geneidy, A. M., and R. L. Bertini. Toward Validation of Freeway Loop Detector Speed Measurements Using Transit Probe Data. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Proceedings - 7th International IEEE Conference on Intelligent Transportation Systems, 2004, pp. 779-784.
- Tong, D., B. Coifman, and C. J. Merry. Traffic Information Deriving Using GPS Probe Vehicle Data Integrated with GIS. GIS for Transportation Symposium, 2006, pp. 1-23.
- Berka, S., and B. K. Lall. New perspectives for ATMS: advance technologies in traffic detection. Journal of Transportation Engineering, Vol. 124, no. 1, 1998, pp. 9-15.
- Gajowski, B. J., S. M. Turner, W. L. Eiscle, and C. H. Spiegclman. Intelligent Transportation System Data Archiving: Statistical Techniques for Determining Optimal Aggregation Widths for Inductive Loop Detector Speed Data. In Transportation Research Record: Journal of Transportation Research Board, No. 1719, Transportation Board of National Academics, Washington, D. C., 2000, pp. 85-93.
- Park, D., S. You, J. Rho, H. Cho, and K. Lee. Investigating Optimal Aggregation Interval Sizes of Loop Detector Data for Freeway Travel-Time Estimation and Prediction. Canadian Journal of Civil Engineering, Vol. 36, 2009, pp. 580-591.
- Oh, C., S. G. Ritchie, and J. Oh. Exploring the Relationship between Data Aggregation and Predictability to provide Better Predictive Traffic Information. In Transportation Research Record: Journal of Transportation Research Board, No. 1935, Transportation Board of National Academics, Washington, D. C., 2005, pp. 28-36.
- Bar-Gera, H. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel. In Transportation Research Record: Journal of Transportation Research Board, No. 2056, Transportation Board of National Academics, Washington, D. C., 2007, pp. 380-391. 132
- Martin, P. T., A. Stevanovic, I. Vladisavljevic, and D. Jovanovic. VISUM-Online (OTACHAT). Report No. UTL-1106-90. University of Utah Traffic Laboratory, Salt Lake City, Utah, January 2007.
- Martin, P. T., I. Vladisavljevic, and D. Yusufzyanova. The I-15 Express Lanes Evaluation. Report No. UTL – 1106 – 89 (v9). University of Utah Traffic Laboratory, Salt Lake City, Utah, November 2007.
- Brydia, R. E., S. M. Turner, W. L. Eisele, and J. C. Liu. (1998) „Development of Intelligent Transportation System Data Management‟, In Transportation Research Record: Journal of Transportation Research Board, No. 1625, Transportation Board of National Academics, Washington, D. C., 1998, pp. 124-130.
- Turner, S. M., W. L. Eisele, B. J. Gajewski, L. P. Albert, and R. J. Benz. ITS Data Archiving: Case Study Analyses of San Antonio TransGuide Data. Publication FHWA-PL-99-024, Texas Transportation Institute, Texas A&M University.
- Margiotta, R., ITS as a Data Resource: Preliminary Requirements for a User Service. Publication FHWA-PL-98-031, FHWA, U. S. Department of Transportation, 1998.
- Haigwood, J. UDOT email correspondence, 2011, Appendix A.
- Blackwelder, G. UDOT email correspondence, 2010, Appendix B. 34. Bremmer, D., K. Cotton, D. Cotey, and C. Prestrud, “Measuring congestion: learning from operational data,” In Transportation Research Record: Journal of Transportation Research Board, No. 1895, Transportation Board of National Academics, Washington, D. C., 2004, pp. 186-196.
