-Administration NHTSA, (2013), “Preliminary statement of policy concerning automated vehicles”, Washington, DC.,
pp. 1-14
-Anderson, James M., Kalra, Nidhi, Stanley, Karlyn D., Sorensen, Paul, Samaras, Constantine, Oluwatola, Oluwatobi A., (2016), “Autonomous Vehicle Technology: A Guide for Policymakers”, RAND Corporation, RR-443-2-RC, Santa Monica, Calif. As of January 24.
-Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H., (2014), “Three decades of driver assistance systems: Review and future perspectives. Intell. Transport”, Syst. Magaz., IEEE 6 (4),
pp.6–22.
-Birrell, S.A., Fowkes, M., Jennings, P.A., (2014), “Effect of using an in-vehicle smart driving aid on real-world driver performance”, Intell. Transport. Syst., IEEE Transact. 15 (4), pp.1801–1810.
-Blincoe, Lawrence, Miller, Ted R., Zaloshnja, Eduard, Lawrence, Bruce A., (2015), “The Economic and Societal Impact of Motor Vehicle Crashes 2010 (Revised)”, National Highway Traffic Safety Administration, DOT HS 812 013, Washington, D.C.
-Bureau of Transportation Statistics, (2015), “Motor Vehicle Safety Data, Table 2–17. Research and Innovative Technology Administration”, U.S. Department of Transportation, Washington, D.C.
-Chimba, D., & Kutela, B., (2014), “Scanning secondary derived crashes from disabled and abandoned vehicle incidents on uninterrupted flow highways”, Journal of safety research, 50, pp.109-116.
-Fagnant, D., Kockelman, K.M., (2013), “Preparing a Nation for Autonomous Vehicles”, Eno Center for Transportation, Washington, DC.
-Fagnant, Daniel J., Kockelman, Kara, (2015), “Preparing a nation for autonomous vehicles: opportunities”, barriers and policy recommendations. Transport. Res. Part A: Policy Pract. 77, pp.167–181. http://dx.doi.org/10.1016/j.tra.2015.04.003. July as of March 3.
-Gomes, Lee, (2014), “Hidden Obstacles for Google’s Self-Driving Cars: Impressive Progress Hides Major Limitations of Google’s Quest for Automated Driving”, Massachusetts Institute of Technology.
-Green, E.R., Pigman, J.G., Walton, J.R., McCormack, S., (2012), “Identification of secondary crashes and recommended countermeasures to ensure more accurate documentation”, In: Transportation Research Board 91st Annual Meeting. Compendium of Papers CD-ROM, Washington, DC.
-Greenough, J., (2016), “10 million self-driving cars will be on the road by 2020”.
-Hirunyanitiwattana, W., and S. Mattingly, (2006), “Identifying secondary crash characteristics for California highway system. CD-ROM”, Transportation Research Board of the National Academies, Washington, D.C.,
-Khattak, A. J., X. Wang, and H. Zhang. (2009), “Are Incident Durations and Secondary Incidents Interdependent?” In Transportation Research Record: Journal of the Transportation Research Board, No. 2099, Transportation Research Board of the National Academies, Washington, D.C.,
pp. 39–49.
-Li, Z., Li, Y., Liu, P., Wang, W., & Xu, C., (2014), “Development of a variable speed limit strategy to reduce secondary collision risks during inclement weathers”, Accident Analysis & Prevention, 72, pp.134-145.
-Liu, H., Wei, H., Zuo, T., Li, Z., & Yang, Y. J., (2017), “Fine-tuning ADAS algorithm parameters for optimizing traffic safety and mobility in connected vehicle environment”, Transportation Research Part C: Emerging Technologies, 76, pp.132-149.
-Moore, J.E., G. Giuliano, and S. Cho., (2004), “Secondary Accident Rates on Los Angeles Freeways”, Journal of Transportation Engineering, Vol.130, No. 3, pp.280–285.
-National Safety Council, (2009), "Estimating the Costs of Unintentional Injuries." National Safety Council. National Safety Council.
-Orfanou, F. P., E. I. Vlahogianni, and M. G. Karlaftis., (2011), “Detecting Secondary Accidents in Freeways”, To Appear in the forthcoming 3rd International Conference on Road Safety and Simulation (RSS2011), Indianapolis, Indiana, Spp. 14-16.
-Outay, F., Kamoun, F., Yasar, A., Shakshuki, E., & El-Amine, S., (2017), “ConVeh: Driving Safely into a Connected Future”, Procedia Computer Science, 113, pp.460-465.
-Pigman, J.G., Green, E.R., Walton, J.R., (2011), “Identification of Secondary Crashes and Recommended Countermeasures”, University of Kentucky, Lexington, Kentucky.
-Schoettle, B., Sivak, M., (2015), “A preliminary analysis of real-world crashes involving selfdriving vehicles”, The University of Michigan, Transportation Research Institute, Ann Arbor, Michigan.
-Sun, C., and V. Chilukuri, (2010), “Dynamic Incident Progression Curve for Classifying Secondary Traffic Crashes”, Journal of Transportation Engineering, Vol. 136,
No. 12, pp. 1153- 1158.
-Tsirigotis, L., E.I. Vlahogianni, and M. G. Karlaftis. (2011), “Does Information on Weather Affect the Performance of Short-term Traffic Forecasting Models?” Journal of Intelligent Transportation Systems Research, Vol. 9, No. 3, forthcoming.
-U.S. Department of Transportation, (2015), “Distracted Driving 2013: Summary of Statistical Findings”, DOT HS 812 132.
-Várhelyi, A., Kaufmann, C., Persson, A., (2015), “User-related assessment of a Driver Assistance System for Continuous Support–a field trial. Transport”, Res. Part F: Traffic Psychol. Behav. 30, pp.128–144.
-Vlahogianni, E.I., Karlaftis, M.G., Orfanou, F.P., (2012), “Modeling the effects of weather and traffic on the risk of secondary incidents”, J. Intell. Transp. Syst.163, pp.109–117.
-Wang, J., Xie, W., Liu, B., & Ragland, D. R. (2016a), “Identification of freeway secondary accidents with traffic shock wave detected by loop detectors”, Safety science, 87,
pp.195-201.
-Wang, J., Liu, B., Lanfang, Z., & Ragland, D. R. (2016b), “Modeling secondary accidents identified by traffic shock waves”, Accident Analysis & Prevention, 87,
pp.141-147.
-World Health Organization, Road traffic injuries, (2017).
-Yang, H., Bartin, B., & Ozbay, K., (2013a), “Identifying Secondary Crashes on Freeways Using Sensor Data”, In 92nd Annual Meeting of the Transportation Research Board, Washington, DC.
-Yang, H., Bartin, B., & Ozbay, K., (2013b), “Investigating the characteristics of secondary crashes on freeways”, In 92nd Annual Meeting of the Transportation Research Board, Washington, DC (Vol. 2).
-Yang, H., Wang, Z., & Xie, K., (2017), “Impact of connected vehicles on mitigating secondary crash risk”, International Journal of Transportation Science and Technology, 6(3), pp.196-207.
-Zhan, C., Gan, A., Hadi, M., (2009), “Identifying Secondary Crashes and Their Contributing Factors”, Transportation Research Record: Journal of the Transportation Research Board, pp. 68-75.
-Zhan, C., Shen, L., Hadi, M.A., Gan, A., (2008), “Understanding the characteristics of secondary crashes on freeways”, In: Transportation Research Board 87thAnnual Meeting.
-Zhang, H., & Khattak, A., (2010), “What