Principles and Guidance for Presenting Active Traffic Management Information to Drivers (2021)

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139 APPENDIX B: List of Data Sources Given In-Depth Reviews Apeltauer, J., Vsetecka, M., Apeltauer, T., & Smely, M. (2013). Portable active traffic management in working zones. In Multidisciplinary Academic Conference. Balke, K. N., & Ullman, G. L. (1992). Advanced technologies for communicating with motorists: A synthesis of human factors and traffic management issues (No. FHWA/TX-92/1232- 8). Federal Highway Administration. Bhouri, N., Aron, M., & Scemama, G. (2016). Travel time reliability with and without the dynamic use of hard shoulder: Field assessment from a French motorway. Journal of Traffic and Transportation Engineering (English Edition), 3(6), 520–530. Chun, P., & Fontaine, M. D. (2016). Evaluation of the impact of the I-66 active traffic management system (No. VTRC 17-R5). Virginia Department of Transportation. Craig, C. M., Achtemeier, J., Morris, N. L., Tian, D., & Patzer, B. (2017). In-vehicle work zone messages (No. MN/RC 2017-19). Minnesota Department of Transportation Research Services & Library. Dowling, R. G. (2011). Development of highway capacity manual methodologies to assess active transportation and demand management strategies (No. DTFH61-06-D-00004). Federal Highway Administration. Dowling, R. G., and A. Elias (2013). NCHRP Synthesis of Highway Practice 447: Active Traffic Management for Arterials. Transportation Research Board, Washington, D.C. Hogema, J. H., & Gobel, M. P. (2000). In-car versus roadside queue warning information: A driving simulator study (No. TM-00-D004). Hourdos, J. (2016). Move over one. Roads & Bridges. https://www.roadsbridges.com/move- over-one Ishak, S. S., Osman, O., Thapa, R., & Jenkins, S. (2015). Real time driver information for congestion management (No. FHWA/LA.08/543). Louisiana Department of Transportation and Development. Janssen, W. H., Kaptein, N., & Claessens, M. (1999). Behavior and safety when driving with in- vehicle devices that provide real-time traffic information. In 6th World Congress on Intelligent Transport System. Retrieved from https://www-nrd.nhtsa.dot.gov/departments /Human%20Factors/driver-distraction/PDF/Janssen.PDF Jeffers, M. A. B., Perez, W. A., & Philips, B. (2015). Using iterative human factors methods to assess active traffic management signing. In 8th international driving symposium on human factors in driver assessment, training, and vehicle design (pp. 70–76). Jin, P. J., Fang, J., Jiang, X., DeGaspari, M., & Walton, C. M. (2017). Gap metering for active

140 traffic control at freeway merging sections. Journal of Intelligent Transportation Systems, 21(1), 1–11. Kantowitz, B. H., Hanowski, R. J., & Kantowitz, S. C. (1997). Driver acceptance of unreliable traffic information in familiar and unfamiliar settings. Human Factors, 39(2), 164–176. Levinson, M. (1996). Brighter benefits from VMS. Long, S., Gentry, L., & Bham, G. H. (2012). Driver perceptions and sources of user dissatisfaction in the implementation of variable speed limit systems. Transport Policy, 23, 1–7. Luoma, P.R.J., and Harjula, V. (1999). Distraction due to variable speed limits. Traffic Engineering & Control, 40(9), 428–430. Mohammed, H., Xiao, Y., Wang, T., Qom, S. F., Azizi, L., Jia, J., Massahi, A., and Iqbal, M. S. (2016). Framework for multi-resolution analyses of advanced traffic management strategies (No. BDV29-977-19). Florida Department of Transportation. Neudorff, L., & Mccabe, K. (2015). Active traffic management (ATM) feasibility and screening guide (No. FHWA-HOP-14-019). Federal Highway Administration. Nowakowski, C., Gupta, S.D., Myers, S., Shladover, S., Butler, J., and Bayen, A. (2012). Providing in-vehicle soft safety alerts using mobile millennium data and vehicle event information. Renault. Perez, W. A., & Philips, B. H. (2013). Active traffic management sign comprehension. In 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design. Perez, W.A., Bertola, M.A., and Philips, B. (2016). Active traffic management: Comprehension, legibility, distance, and motorist behavior in response to selected variable speed limit and lane control signing (No. FHWA-HRT-16-037). Federal Highway Administration. Saha, D., A. Gan, K. M. Haleem, P. Alluri, and F. H. Delgado. (2013). Applications of Hybrid Static-Dynamic Signs for Active Traffic Management: A Worldwide State-of-the-Practice Review. Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C. Scarinci, R., & Heydecker, B. (2014). Control concepts for facilitating motorway on-ramp merging using intelligent vehicles. Transport Reviews, 34(6), 775–797. Sykes, K. P. (2016). Human factors evaluation of an in-vehicle active traffic and demand management (ATDM) system [Doctoral dissertation]. Virginia Tech. Wevers, K., & Lu, M. (2007). Provision of in-vehicle speed limit information. IET Intelligent Transport System, 1(3), 205–214.