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This report is an archived publication and may contain dated technical, contact, and link information
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Publication Number:  FHWA-HRT-17-014    Date:  April 2018
Publication Number: FHWA-HRT-17-014
Date: April 2018

 

State of the Practice for Traveler Information During Nonrecurring Events

Bibliography

Arena, M., Azzone, G., Franchi, F., and Malpezzi, S. (2012). “An Integrated Framework for Infomobility,” Proceedings of the Third International Engineering Systems Symposium, Council of Engineering Systems Universities, Delft, Netherlands.

Bagloee, S., Kermanshah, M., and Bozic, C. (2013). “Assessment of Public-Private Partnership in Traveler Information Provision: Case Study of a Developing Country,” Transportation Research Record, 2394, pp. 19–29. Transportation Research Board, Washington, DC.

Baumgart, L.A., Bass, E.J., Philips, B., and Kloesel, K. (2006). “Emergency Management Decision-Making During Severe Weather,” Weather and Forecasting, 23(6), pp. 1,268–1,279, American Meteorological Society, Boston, MA.

Belloche, S., Pierrefeua, C., and Soranda, C. (2014). Pre-trip Road Information Impact Assessment: A Literature Review, Transport Research Arena (TRA) 5th Conference on Transport Solutions from Research to Deployment, Paris, France.

Bierstedt, J., Gooze, A., Gray, C., Peterman, J., Raykin, L., and Walters, J. (2014). Effects of Next-Generation Vehicles on Travel Demand and Highway Capacity, pp. 10–11, FP Think Working Group, Washington, DC.

Carson, J.L. and Bylsma, R.G. (2003). Transportation Planning and Management for Special Events: A Synthesis of Highway Practice, NCHRP Synthesis 309, National Cooperative Highway Research Program, Washington, DC.

Ceylan, H., Gopalakrishnan, K., and Kim, S. (2013). Improving the Accuracy and Usability of Iowa Falling Weight Deflectometer Data, Institute for Transportation, Iowa State University, Ames, IA.

Chorus, C.G., Molin, E.J.E., and Van Wee, B. (2006). “Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature,” Transport Reviews, 2(26), pp. 127–149, Taylor & Francis Online, England, United Kingdom.

Clark, M.L. (2015). A Microscopic Simulation Approach to Performance Evaluation of Intelligent Transportation Corridors: A Case in Michigan, Master’s Thesis, Western Michigan University, Kalamazoo, MI.

Colorado Department of Transportation. (2004). Colorado Work Zone Best Practices Safety Guide, Colorado Department of Transportation, Denver, CO. Available online: https://www. codot.gov/library/traffic/lane-close-work-zone-safety/work-zone-booklets-guidelines/ Work_Zone_Safety_Guide_English_2004.pdf, last accessed December 14, 2016.

Creaser, J. (2017). Examining Signing Options for Improving Safe Driving Behaviors in Work Zones, Minnesota Department of Transportation, Minneapolis, MN. Available online: http://dot.state.mn.us/research/reports/2017/201719.pdf, last accessed December 14, 2016.

Dudek, C.L. and Ullman, G.L. (2006). Dynamic Message Sign Message Design and Display Manual, Report No. FHWA/TX-04/0-4023-P3, Texas Department of Transportation, Austin, TX.

Fan, E. (2000). “Extended Tanh-Function Method and its Applications to Nonlinear Equations,” Physics Letters A, 277(4–5), pp. 212–218, Elsevier, Netherlands.

Federal Highway Administration. (2008). Intelligent Transportation Systems for Planned Special Events: A Cross Cutting Study, U.S. Department of Transportation, Washington, DC. Available online: http://ntl.bts.gov/lib/30000/30400/30470/14436.pdf, last accessed December 14, 2016.

Federal Highway Administration. (2017). 511 Traveler Information Services, U.S. Department of Transportation, Washington, DC. Available online: https://ops.fhwa.dot.gov/511/about511/history.htm, last accessed October 5, 2017.

Florida Department of Transportation. (2005). Approved Motorist Safety Messages for Portable Changeable Message Signs on the State Highway System, Florida Department of Transportation, Tallahassee, FL. Available online: http://www.fdot.gov/traffic/pdf/approved_cms_messages_4_28_05.pdf, last accessed December 14, 2016.

Florida Department of Transportation. (2013). Displaying Messages on Dynamic Message Signs Permanently Mounted on the State Highway System, Florida Department of Transportation, Tallahassee, FL.

Fontaine, M.D., Ma, J., and Hu, J. (2015). Evaluation of the Virginia Department of Transportation Adaptive Signal Control Technology Pilot Project, Report No. VCTIR 15-R24, Virginia Department of Transportation, Richmond, VA.

Fu, H., Liu, N., Liang, J., Pel, A.J., and Hoogendoorn, S.P. (2015). Modeling and Simulation of Evacuation Route Choice Behavior Using Fuzzy Set Theory, Intelligent Transportation Systems 2015 IEEE 18th International Conference, pp. 1,327–1,332, Gran Canaria, Spain.

Goodwin, L.C. (2003). Best Practices for Road Weather Management, Version 2.0, Report No. FHWA-OP-03-081, Federal Highway Administration, Washington, DC.

Gopalakrishna, D., Cluett, C., Kitchener, F., and Sturges, L. (2013). Utah DOT Weather Responsive Traveler Information System, Report No. FHWA-JPO-13-089, Federal Highway Administration, Washington, DC.

Graves, T., Ramirez, J., Grunewald, C., and Tang, K. (2008). Testudo’s Informed Route Planning System, University of Maryland, College Park, MD.

Guéziec et al. (2015). Patent No. US 8,982,116 B2, U.S. Patent and Trademark Office, Washington, DC. Available online: https://www.google.com/url?sa=t&rct=j&q=&esrc= s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwj57pbeqvTQAhWEi1QKHarwBRYQFggdMAE&url=http%3A%2F%2Fpatentimages.storage.googleapis.com%2Fpdfs%2FUS8982116.pdf&usg=AFQjCNEOzE2UbM08ueOjWkzbhsgmfvOGjA&sig2=fsOuIk_5Vv7sLu0z-MlM7g&bvm=bv.141320020,d.cGw, last accessed December 14, 2016.

Guo, J. (2008). “Modelling User Response to Innovative Traveller Information Systems,” PATREC Research Forum, Edith Cowan University, Perth, Australia.

Haas, R., Carter, M., Perry, E., Trombly, J., Bedsole, E., and Margiotta, R. (2009). iFlorida Model Deployment Final Evaluation Report, Report No. FHWA-HOP-08-050, Federal Highway Administration, Washington, DC.

Habermann, J. (2015). I-35 Smart Work Zone Update, Texas Department of Transportation, Austin, TX. Available online: https://ftp.dot.state.tx.us/pub/txdot-info/cst/conference/washto-jhabermann.pdf, last accessed December 14, 2016.

Ibarguen, B. (2007). Changeable Message Signs—Procedures and User Guideline, Memorandum, State of Maine Department of Transportation, Augusta, ME. Available online: http://www.maine.gov/mdot/csd/mlrc/documents/pdf/messagesigns.pdf, last accessed December 14, 2016.

Indiana Department of Transportation. (2010). Indiana Department of Transportation Interstate Highways Lane Closure Policy, Indiana Department of Transportation, Ames, IA. Available online: https://www.in.gov/indot/files/IntstLaneClosurePolicy_3-17-10.pdf, last accessed December 14, 2016.

Information Logistics, Inc. (n.d.). PA Turnpike Travel Alerts: Hands-Free, Eyes-Free!, Information Logistics, Inc., Pennsauken Township, NJ. Available online: https://www.paturnpike.com/pdfs/travel/TRIP_Talk_rack_card.pdf, last accessed December 14, 2016.

Jiang, Y. and Zhang, J. (2014). “How Drivers Adapt to Traffic Accidents and Dynamic Travel Information: Stated Preference Survey in Japan,” Transportation Research Record, 2413, pp. 74–83, Transportation Research Board, Washington, DC.

Jones, S.L., Aslam, M., Robinson, C., and Cheekoti, N. (2003). Multimodal Transportation Planning Needs Survey, Report No. FHWA/CA/OR-01225, University Transportation Center for Alabama, University of Alabama, Tuscaloosa, AL.

Jones, S.L. and Thompson, M.W. (2003). “State of the Practice for Displaying Non-Traffic Related Messages on Dynamic Message Signs,” Proceedings from Toda’s Transportation Challenge: Meeting Our Customer’s Expectations, Palm Harbor, FL.

Juster, R.M., Jacobs, T.H., and Hutchinson, T. (2015). Evaluation of Regional Real-time Transit Communications and Data Information Sharing in the National Capital Region, FTA Report No. 0079, Federal Transit Administration, Washington, DC.

Kapucu, N. and Garayev, V. (2011). “Collaborative Decision-Making in Emergency and Disaster Management,” International Journal of Public Administration, 34(6), pp. 366–375, Taylor & Francis Online, England, United Kingdom.

Kattan, L., Habib, K., Nadeem, S., and Islam, T. (2010). “Modelling Travelers’ Response to Incident Information Provided by Variable Message Signs in Calgary, Canada,” Transportation Research Record, 2185, pp. 71–80, Transportation Research Board, Washington, DC.

Khattak, A., Pan, X., Williams, B., Rouphail, N., and Fan, Y. (2008). “Traveler Information Delivery Mechanisms: Impact on Consumer Behavior,” Transportation Research Record, 2069, pp. 77–84, Transportation Research Board, Washington, DC.

Khattak, A., Polydoropoulou, A., and Ben-Akiva, M. (1996). “Modeling Revealed and Stated Pre-Trip Travel Response to Advanced Traveler Information Systems,” Transportation Research Record, 1537, pp. 46–54, Transportation Research Board, Washington, DC.

Kittelson & Associates, Inc. (2003). Transit Capacity and Quality of Service Manual, Second Edition, Transportation Research Board, Washington, DC.

Kittelson & Associates, Inc. (2013). Evaluating Alternative Operations Strategies to Improve Travel Time Reliability, SHRP 2 Report S2-L11-RR-1, the Second Strategic Highway Research Program, Washington, DC.

KMJ Consulting. (2015). ATMS/ATIS Best Practices-Winter Travel Conditions for Mid-Atlantic/Southern Region: Summary, I-95 Corridor Coalition, College Park, MD.

Kowalski, K. and Vaught, C. (2003). “Judgment and Decision-Making Under Stress: An Overview for Emergency Managers,” International Journal of Emergency Management, 1(3), pp. 278–289, Inderscience, Geneva, Switzerland.

Kristof, T., Lowry, M., and Rutherford, G.S. (2005). Assessing the Benefits of Traveler and Transportation Information Systems, Report No. WA-RD 597.1, Washington State Department of Transportation, Olympia, WA.

Kuhn, B., Higgins, L., Nelson, A., Finley, M., Ullman, G., Chrysler, S., Wunderlich, K., Shah, V., and Dudek, C. (2014). Effectiveness of Different Approaches to Disseminating Traveler Information on Travel Time Reliability, SHRP 2 Report S2-L14-R-1, the Second Strategic Highway Research Program, Washington, DC.

Kuhn, B., Higgins, L., Nelson, A., Finley, M., Ullman, G., Chrysler, S., Wunderlich, K., Shah, V., and Dudek, C. (2014). Lexicon for Conveying Travel Time Reliability Information, SHRP 2 Report S2-L14-RW-2, the Second Strategic Highway Research Program, Washington, DC.

Kurkcu, A., Morgul, E.F., and Ozbay, K. (2015). “Extended Implementation Method for Virtual Sensors: Web-Based Real-Time Transportation Data Collection and Analysis for Incident Management,” Transportation Research Record, 2528, pp. 27–37, Transportation Research Board, Washington, DC.

Kwon, J., Mauch, M., and Varaiya, P. (2006). “Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand,” Transportation Research Record, 1959, pp. 84–91, Transportation Research Board, Washington, DC.

Larson, G. (2012). The Connected Traveler Project: A Component of the Safe Trip-21 Initiative, Report No. CA12-1935, Research and Innovative Technology Administration, Volpe National Transportation Systems Center, Cambridge, MA.

Lee, M.S. and McNally, M.G. (2003). “On the Structure of Weekly Activity/Travel Patterns,” Transportation Research Part A: Policy and Practice, 37(10), pp. 823–839, Elsevier, New York, NY.

Liao, C.F. and Donath, M. (2015). Developing a Real-Time Incident Decision Support System (IDSS) for the Freight Industry, University of Minnesota, Minneapolis, MN.

Liu, Y., Lai, X., and Chang, G.L. (2006). “Cell-Based Network Optimization Model for Staged Evacuation Planning Under Emergencies,” Transportation Research Record, 1964, pp. 127–135, Transportation Research Board, Washington, DC.

Lochrane, T.W, Venkata, S.R.C.C., and Khattak, A. (2013). The Role of Dynamic Message Signs in Travelers’ Diversion During Unexpected Congestion on Toll Roads, Transportation Research Board 92d Annual Meeting, Washington, DC.

Mahmassani, H.S., Koppelman, F., Frei, C., Frei, A., and Haas, R. (2013). Synthesis of Traveler Choice Research: Improving Modeling Accuracy for Better Transportation Decisionmaking, Report No. FHWA-HRT-13-022, Federal Highway Administration, Washington, DC.

Maryland State Highway Administration. (2006). Maryland State Highway Administration Work Zone Lane Closure Analysis Guidelines, Maryland Department of Transportation, Baltimore, MD.

Mehndiratta, S., Kemp, M., Lappin, J., and Brand, D. (1999). “What Advanced Traveler Information System Information Do Users Want? Evidence from In-Vehicle Navigation Device Users,” Transportation Research Record, 1679, pp. 41–49, Transportation Research Board, Washington, DC.

Morris, N., Ton, A., Cooper, J., Edwards, C., and Donath, M. (2014). A Next Generation Non-Distracting In-Vehicle 511 Traveler Information Service, Report No. CTS 14-13, Minnesota Department of Transportation, St. Paul, MN.

Mounce, J.M., Ullman, G., Pesti, G., and Pezoldt, V. (2007). Guidelines for the Evaluation of Dynamic Message Sign Performance, Report No. FHWA/TS-07/0-4772-1, Texas Department of Transportation, Austin, TX.

Muizelaar, T. and Van Arem, B. (2007). “Drivers’ Preferences for Traffic Information for Non-Recurrent Traffic Situations,” Transportation Research Record, 2018, pp. 72–79, Transportation Research Board, Washington, DC.

National Committee on Science Education Standards and Assessment, National Research Council. (1996). National Science Education Standards, National Academy Press, Washington, DC.

Oregon Department of Transportation. (2013). Guidelines for the Operation of Permanent Variable Message Signs, Salem, OR.

Paniati, J.F. (2006). Policy for Messages on Dynamic Message Signs (DMS), Memorandum, Federal Highway Administration, Washington, DC. Available online: http://ops.fhwa.dot.gov/travelinfo/resources/dmspolcy02906.pdf, last accessed December 14, 2016.

Peirce, S. and Lappin, J.E. (2005). Why Don’t More People Use Advanced Traveler Information?: Evidence from the Seattle Area, Presented at Transportation Research Board 83d Annual Meeting, Washington, DC.

Pisano, P.A., Alfelor, R.M., and Guevara, G.N. (2012). Road Weather Management—Recent Research Results from the United States, Presented at the 13th International Road Weather Conference, Standing International Road Weather Commission, Helsinki, Finland. Available online: http://www.sirwec2012.fi/Extended_Abstracts/079_Pisano.pdf, last accessed December 14, 2016.

Polydoropoulou, A., Ben-Akiva, M., Khattak, A., and Lauprete, G. (1996). “Modeling Revealed and Stated En-Route Travel Response to Advanced Traveler Information Systems,” Transportation Research Record, 1537, pp. 46–54, Transportation Research Board, Washington, DC.

Provost, L. (2014). Demand Responsive Travel Operation Based on Dynamic Passenger Information (Dynamic Ride Share by Smartphone Request), Caltrans Division of Research, Innovation and System Information (DRISI), California Department of Transportation, Sacramento, CA.

PRR, Inc. (2005). WSDOT 511 IVR Survey and Usability Testing Results, Washington State Department of Transportation, Olympia, WA. Available online: https://wsdot.com/NR/rdonlyres/596DD86C-340E-4B10-8660-22805F9AE10E/0/511Survey.pdf, last accessed December 14, 2016.

Robinson, R.M. and Khattak, A. (2012). “Evacuee Route Choice Decisions in a Dynamic Hurricane Evacuation Context,” Transportation Research Record, 2312, pp. 141–149, Transportation Research Board, Washington, DC.

Second Strategic Highway Research Program. (2013). Travel Time Reliability 2030: Innovations and Strategies for Today and Tomorrow, Second Strategic Highway Research Program, Transportation Research Board, Washington, DC.

Siddle, D. (2014). Travel Time Predictability, NZ Transport Agency Research Report 554, NZ Transport Agency, Wellington, New Zealand.

Staszcuk, J. and McGowen, P. (2009). Deploying Portable Advanced Traveler Information Systems, California Center for Innovative Transportation, University of California–Berkeley, Berkeley, CA.

Sullivan, A.J., Sisiopiku, V.P., and Kallem, B.R. (2013). Measuring Non-Recurring Congestion in Small to Medium Sized Urban Areas, UTCA Report No. 09201, University Transportation Center for Alabama, The University of Alabama, Birmingham, AL.

Swan, N., Baker, S., Hintz, R., and Trimble, T. (2004). 511 Virginia Evaluation, Virginia Department of Transportation, Richmond, VA.

Tao, Z., Spotts, J., Lu, B., Zhou, X., and Xing, T. (2012). Forecasting and Delivery of Highway Travel Time Reliability Information, SHRP 2 Reliability IDEA Project L-15A, Innovations Deserving Exploratory Analysis Programs, Transportation Research Board, Washington, DC.

Tasic, I. (2012). Using Microsimulation to Evaluate Traffic Incident Responses for Traffic Operations Center Decision Making, Master’s Thesis, University of Utah, Salt Lake City, UT.

Telvent Farardyne, Inc. (2007). Best Practices for Border Bridge Incident Management, I-95 Corridor Coalition, College Park, MD.

Ullman, G.L., Gopalakrishna, D., Pisano, P., Schroeder, J.L., Scriba, T.A., and Paracha, J. (2015). Overview of the Work Zone Intelligent Transportation Systems Implementation Guide, Transportation Research Board 94th Annual Meeting, Washington, DC.

Varaiya, P.P. (2007). Finding and Analyzing True Effect of Non-recurrent Congestion on Mobility and Safety, California PATH Research Report UCB-ITS-PRR-2007-10, University of California–Berkeley, Berkeley, CA.

Virginia Department of Transportation. (2013). Changeable Message Signs (CMS) Usage, Instructional and Informational Memorandum No. IIM-OD-13-03, Operations Division, Virginia Department of Transportation, Richmond, VA.

Wang, X., Khattak, A., and Fan, Y. (2009). “Role of Dynamic Information in Supporting Changes in Travel Behavior: Two-Stage Process of Travel Decision,” Transportation Research Record, 2138, pp. 85–93, Transportation Research Board, Washington, DC.

Watkins, K.E., Wong, J., and Roell, M. (2013). Technology Scan of Future Traveler Information Systems and Applications in Georgia, Report No. FHWA-GA-13-11-25, Georgia Department of Transportation, Forest Park, GA.

Wolshon, P.B. (2009). Transportation’s Role in Emergency Evacuation and Reentry, NCHRP Synthesis 392, National Cooperative Highway Research Program, Washington, DC.

Zhang, L. and Levinson, D. (2006). Determinants of Route Choice and the Value of Traveler Information: A Field Experiment, University of Minnesota, Minneapolis, MN.

Zimmerman, C., Bolton, P., Raman, M., Kell, T., Unholz, S., and Bausher, C. (2007). Communicating with the Public Using ATIS During Disasters: A Guide for Practitioners, Report No. FHWA-HOP-07-068, Federal Highway Administration, Washington, DC.

Zou, N., Chang, G-L., and Rahwanji, S. (2003). I-270 Simulator: Integrated Knowledge-Base and Simulation System for Real-Time Incident Management, 82d Annual Meeting of the Transportation Research Board, Washington, DC.

Zou, N., Yeh, S.T., Chang, G.L., Marquess, A., and Zezeski, M. (2005). “Simulation- Based Emergency Evacuation System for Ocean City, Maryland, During Hurricanes,” Transportation Research Record, 1922, pp. 85–93, Transportation Research Board, Washington, DC.

 

 

 

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