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21st Century Operations Using 21st Century Technologies

Travel Time on Arterials and Rural Highways: State-of-the-Practice Synthesis on Arterial Data Collection Technology


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Athey Creek Consultants (2009). Minnesota Arterial Travel Time (MATT) project. Final report prepared for Minnesota Department of Transportation.

ARCADIS. (2012). [No title]. Presented at the National Rural ITS Conference, St. Cloud, MN. Retrieved from Avni, O. (2007).

Performance and limitations of cellular-based traffic monitoring technologies: Based on case study of benchmarking Cellint's TrafficSense with road sensors. In Institute of Transportation Engineers (ITE) Technical Conference and Exhibit, 2007, San Diego, California, USA.

Blokpoel, R.J. (2009). Vehicle reidentification using inductive loops in urban areas. Presented at the 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services, Stockholm, Sweden.

Cambridge Systematics, Inc. (2012). Travel time data collection. Prepared for Florida Department of Transportation (FDOT) District 4.

Cellint Traffic Solutions (2007). Performance and limitations of cellular-based traffic monitoring systems. Presented at the 61st Annual Ohio Transportation Engineering Conference, Columbus, Ohio.

Chan, K.S., Lam, W.H., & Tam, M.L. (2009). Real-time estimation of arterial travel times with spatial travel time covariance relationships. Transportation Research Record: Journal of the Transportation Research Board, 2121, 102-109.

City of Chandler & Oz Engineering. (2011). Arterial and freeway travel time information on dynamic message signs. Presented at the ITS Arizona 18th Annual Conference.

City of Houston, Texas. (2011). City of Houston launches new arterial travel time tool in West Houston. Press Release. Retrieved from

Coifman, B., & Cassidy, M. (2002). Vehicle reidentification and travel time measurement on congested freeways. Transportation Research Part A: Policy and Practice, 36(10), 899-917.

Conkey, C. (2008, January 29). I-95 panel plans satellite traffic-report network. The Wall Street Journal. Retrieved from

Crockford, K. (2012). ACLU sues federal agencies for records on license plate tracking. American Civil Liberties Union (ACLU). Retrieved from

Day, C.M., Premachandra, H., Brennan, T. M., Sturdevant, J. R., & Bullock, D. M. (2010). Operational evaluation of wireless magnetometer vehicle detectors at signalized intersection. Transportation Research Record: Journal of the Transportation Research Board, 2192, 11-23.

Eberline, A. (2008). Cost/benefit analysis of electronic license plates. Report no. FHWA-AZ-08-637. Arizona Department of Transportation.

ENTERPRISE. (2012). Understanding utilization of third party data and information. Prepared for ENTERPRISE Transportation Pooled Fund TPF- 5(231). Prepared by Athey Creek Consultants.

FHWA (2004). Reducing congestion with the use of a traffic management contract incentive during the reconstruction of Arizona State Route 68. Report no. FHWA-HOP-04-032. Washington, DC: Federal Highway Administration.

Guerra, T. (2012). An example: IRIS. In Webinar presentation: Project 5.6 Facilitating the Use of Open Source Software. Retrieved from

Haas, R., Carter, M., Perry, E., Trombly, J., Bedsole, E., & Margiotta, R. (2009). iFlorida model deployment final evaluation report. Report no. FHWA-HOP-08-050. Federal Highway Administration.

Hardigree, M. (2011). How Houston uses your Bluetooth phone to fight traffic. Retrieved February 19, 2013 from http://jalopnik. com/5830870/how-houston-uses-your-bluetooth-phoneto-fight-traffic

INRIX. (2012). INRIX traffic app available on windows 8 - Free app helps drivers save time, fuel and frustration avoiding traffic. Retrieved from

ITS International. (2010). Bluetooth speed and travel data collection shows cost savings. Retrieved from

ITS International. (2012). Flexible, demand-based parking charges ease parking problems. Retrieved from

I-95 Corridor Coalition. (2010). I-95 Corridor Coalition - Vehicle Probe Project: General benefits white paper. Retrieved from

Jeng, S.-T. (2010). Freeway corridor performance measurement based on vehicle reidentification. IEEE Transactions on Intelligent Transportation Systems, 1(3), 639-646.

King, T. (2011). Arterial management systems: DMSs, CCTVs and travel times. Presented at the 12th Annual ITS Heartland Meeting, West Des Moines, Iowa.

Klein, L.A., Mills, M.K., & Gibson, D.R.P. (2006). Traffic detector handbook: Third edition – Volume 1. Report no. FHWA-HRT-06-108. McLean, VA: Federal Highway Administration.

Kwong, K., Kavaler, R., Rajagopal, R., and Varaiya, P. (2009) . Arterial travel time estimation based on vehicle re-identification using wireless sensors. Presented at the 88th Annual Meeting of the Transportation Research Board, Washington, D.C.

Lattimer, C. (2010). Investigation of air sage travel time data in Tallahassee, Florida. Presented at the 2010 ITS Transpo Conference, Ponte Vedra Beach, Florida.

Lin, W.H., Kulkarni, A., Mirchandani, P. (2004). Short-term arterial travel time prediction for advanced traveler information systems. Journal of Intelligent Transportation Systems, 8(3), 143-154.

Ministry of Transportation Ontario (2012). Alternative methodologies for travel time studies Report no. 2010?E?0057-B000143. Retrieved from

Medina, J.C., Hajbabaie, A., and Benekohal, R.F. (2010) Wireless magnetometers for traffic data collection at signalized intersections. Presented at the 2010 TFT Conference, Annecy, France.

Pu, W., Lin, J.J., & Long, L. (2009). Real-time estimation of urban street segment travel time using buses as speed probes. Transportation Research Record: Journal of the Transportation Research Board, 2129, 81-89.

Puckett, D. D., & Vickich, M. J. (2010). Bluetooth®-based travel time/speed measuring systems development. Report no. UTCM 09-00-17.

Ritchie, S.G., Park, S., Oh, C., Jeng, S.-T., & Tok, A. (2005). Field investigation of advanced vehicle reidentification techniques and detector technologies – Phase 2. Report no. UCB-ITS-PRR-2005-8. California PATH Program, Institute of Transportation Studies, University of California at Berkeley.

Robinson, E., Jacobs, T., Frankle, K., Serulle, N., & Pack, M. (2012) NCHRP Web-only document 192: Deployment, use, and effect of real-time traveler information systems. Contractor's final report for NCHRP Project 08-82. National Cooperative Highway Research Program.

Sensys Networks. (n.d). Real time traffic re-routing for I-15 CORE project. Retrieved from

Texas Transportation Institute. (2013). Anonymous wireless address matching – Current projects. Retrieved from

TrafficCast. (2012). Atlanta's Cobb & Fulton counties implement BlueTOAD™ travel-time system on major arterials. Retrieved from

TransCore. (2011). Transcore deploys arterial traveler information system for Utah Department of Transportation's I-15 reconstruction. Business Wire. Retrieved from:

Tsubota, T., Bhaskar, A., Chung, E., & Billot, R. (2011). Arterial traffic congestion analysis using Bluetooth duration data. Proceedings from the 34th Australasian Transport Research Forum, Adelaide, Australia.

Turner, S. M., Eisele, W. L., Benz, R. J., & Holdener, D. J. (1998). Travel time data collection handbook. Report no. FHWA-PL-98-035. Washington, DC: Federal Highway Administration.

University of Maryland Center for Advanced Transportation Technology. (2011). Vehicle Probe Project guide for posting travel times on changeable message signs. Sponsored by: I-95 Corridor Coalition.

Volling, M. T. (2009). Arterial travel time using magnetic signature re-identification theory of application and its deployment in San Diego. Presented at ITS America Annual Meeting & Exposition, National Harbor, MD.

Washington State Department of Transportation. (2011) Request for Proposal ACQ-2011-0520-RFP. Retrieved from

Wimmer, N. (2010). UDOT hopes Trailblazers will help ease Utah County commute. Video clip retrieved November 14, 2011 from

Wright, J., & Dahlgren, J. (2001). Using vehicles equipped with toll tags as probes for providing travel times. Report no. UCB-ITS-PWP-2001-13. California PATH Program, Institute of Transportation Studies, University of California at Berkeley.

Young, S. E. (2010). I-95 Corridor Coalition - Vehicle Probe Project: Data quality on arterial. Retrieved from

Zhang, K., & Liu, H. (2009). A good indicator to represent urban travel time variability. In 2009 International Conference on Transportation Engineering, 3912-3917.

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