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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2013. Deployment, Use, and Effect of Real-Time Traveler Information Systems. Washington, DC: The National Academies Press. doi: 10.17226/22664.
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Page 57
Page 58
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2013. Deployment, Use, and Effect of Real-Time Traveler Information Systems. Washington, DC: The National Academies Press. doi: 10.17226/22664.
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Page 58

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57 References Adler, J. 2001. “Investigating the learning effects of route guidance and traffic advisories on route choice behavior.” Transportation Research Part C, 9,1, 1-14. Anderson, M., & Souleyrette, R. 2002. “Pseudo-dynamic travel model application to assess traveler information.” Transportation, 29,3, 307-319. Cambridge Systematics, Inc. 2005. Traffic Congestion and Reliability: Trends and Advanced Strategies for Congestion Mitigation. Washington, DC: Federal Highway Administration. Casas, I., & Kwan, M. 2007. “The impact of real-time information on choices during the commute trip: Evidence from a travel simulator.” Growth and Change, 38,4, 523-543. Chen, W., & Jovanis, P. 2003. “Analysis of driver en-route guidance compliance and driver learning with ATIS using a travel simulation experiment.” Presented in the Annual Meeting of the Transportation Research Board, Washington, D.C. Chorus, C., Molin, E., Arentze, T., Hoogendoorn, S., Timmermans, H., & Wee, B. 2007. “Validation of a multimodal travel simulator with travel information provision.” Transportation Research Part C, 15,3, 191-207. Dia, H. 2002. “An agent-based approach to modelling driver route choice behaviour under the influence of real-time information.” Transportation Research Part C, 10,5, 331-349. Florian, D. 2004. Simulation-Based Evaluation of Advanced Traveler Information Systems (ATIS). Massachusetts Institute of Technology. Hu, H. 2009. Measuring the Effectiveness of Advanced Traveler Information Systems (ATIS). Raleigh: North Carolina State University. Jayakrishnan, R., McNally, M., & Cohen, M. 1993. “Simulation of Advance Traveler Information System Strategies to Reduce Non-Recurent Congestion from Special Events”. Publication of: California University, Irvine . Kristof, T., Lowry, M., & Rutherford, G. 2005. “Assesing the benefits of traveler and transportation information systems.” Washington State DOT. Lerner, N., Singer, J., Robinson, E., Huey, R., and Jenness, J. 2009. “Driver use of en route real-time travel time information: Final report” (Prepared for Federal Highway Administration). Available at: http://tmcpfs.ops.fhwa.dot.gov/index.cfm Levinson, D. 2003. “The value of advanced traveler information systems for route choice.” Transportation Research Part C, 11,1, 75-87. Lingley, A.R., Ali, M., Liao, Y., Mirjalili, R., Klonner, M., Sopanen, M., Suihkonen, S., Shen, T., Otis, B.P., Lipsanen, H., & Parviz, B.A. 2011. “A single-pixel wireless contact lens display.” Journal of Micromechanics and Microengineering, 12,12. Mahmassani, H., & Liu, Y. 1999. “Dynamics of commuting decision behaviour under advanced traveler information systems”. Transportation Research Part C, 7,2/3, 91-107. Martin, P., Lahon, D., Cook, K., & Stevanovic, A. 2005. Evaluation of UDOT’s ATIS Technologies. Salt Lake City: Utah Department of Transportation. Robinson, E., Lerner, N., Singer, J., Jenness, J., and Huey, R. 2011. “En route real-time travel time information: Experimental evaluation of display characteristics.” Proceedings of the 18th World Congress on Intelligent Transport Systems (Paper No. 3037), Orlando, FL. Schofer, J., Khattak, A., & Koppelman, F. 1993. Behavioral Issues in the Design and Evaluation of Advance Traveler Information Systems. Great Britain: Pergamon Press Ltd. Swan, N., Baker, S., Hintz, R., & Trimble, T. 2004. 511 Virginia evaluation. Prepared for Virginia Department of Transportation. Blacksburg, VA: Virginia Tech Transportation Institute. Thakuriah, P., & Sen, A. 1996. “Quality of information given by advanced traveler information systems”. Transportation Research Part C, 4,5, 249-266. U.S. Department of Transportation. 2004. Welcome to the U.S. Department of Transportation Intelligent Transportation Systems. USDOT.

58 Wang, X., Khattak, A., & Fan, Y. 2009. “Role of dynamic information in supporting changes in travel behavior.” Transportation Research Record, 2138, 85-93. Wunderlich, K., Hardy, M., Larkin, J., & Shah, V. 2001. On-Time Reliability Impacts of Advanced Traveler Information Services (ATIS): Washington, DC Case Study. Washington, DC: Federal Highway Administration.

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TRB’s National Cooperative Highway Research Program (NCHRP) Web-Only Document 192: Deployment, Use, and Effect of Real-Time Traveler Information Systems explores the deployment, use, and effect of real-time traveler information (TI) systems.

The report examines transportation agency dissemination practices, assesses traveler perception and use of TI systems, and offers best practices on ways to implement TI systems.

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