Estimate of safety impact of lane keeping assistant system on fatalities and injuries reduction for China: Scenarios through 2030

References

• China Daily. 2015. Made in China 2025 strategy for auto industry [accessed 2015 May 17]. http://english.gov.cn/policies/infographics/2015/06/02/content_281475119391820.htm.
   Google Scholar
• Cicchino JB. 2018. Effects of lane departure warning on police-reported crash rates. J Safety Res. 66:61–70. doi:10.1016/j.jsr.2018.05.006
   PubMed Web of Science ®Google Scholar
• Draskóczy M, Carsten OMJ, Kulmala R. 1998. Road safety guidelines[J]. CODE Project, Telematics Application Programme, Deliverable B. 5.
   Google Scholar
• Flannagan C, LeBlanc D, Bogard S, Nobukawa K, Narayanaswamy P, Leslie A, Kiefer R, Marchione M, Beck C, Lobes K. 2016. Large-scale field test of forward collision alert and lane departure warning systems[R]. Report No: DOT HS 812 247. Available from: https://trid.trb.org/view/1415844
   Google Scholar
• Gordon T, Sardar H, Blower D, Ljung AM, Bareket Z, Barnes M, Blankespoor A, Isaksson-Hellman I, Ivarsson J, Juhas B, et al. 2010. Advanced crash avoidance technologies (acat) program-final report of the volvo-ford-umtri project: safety impact methodology for lane departure warning-method development and estimation of benefits. United States: National Highway Traffic Safety Administration.
   Google Scholar
• Jermakian JS. 2011. Crash avoidance potential of four passenger vehicle technologies. Accid Anal Prev. 43(3):732–740. doi:10.1016/j.aap.2010.10.020
   PubMed Web of Science ®Google Scholar
• Kuang X, Zhao F, Hao H, Liu Z. 2018a. Intelligent connected vehicles: the industrial practices and impacts on automotive value-chains in China. Asia Pac Bus Rev. 24(1):1–21.
   Web of Science ®Google Scholar
• Kuang X, Zhao F, Hao H, Liu Z. 2019. Assessing the socioeconomic impacts of intelligent connected vehicles in China: a cost–benefit analysis. Sustainability. 11(12):3273.
   Web of Science ®Google Scholar
• Kuang X, Zhao F, Hao H, Liu Z. 2018b. Intelligent vehicles' effects on Chinese traffic: a simulation study of cooperative adaptive cruise control and intelligent speed adaption[C]//2018. 21st International Conference on Intelligent Transportation Systems (ITSC). Maui, Hawaii: IEEE. p. 368–373.
   Google Scholar
• Kulmala R. 2010. Ex-ante assessment of the safety effects of intelligent transport systems. Accid Anal Prev. 42(4):1359–1369. doi:10.1016/j.aap.2010.03.001
   PubMed Web of Science ®Google Scholar
• Li D, Zhi H-J, Liu L. 2009. Improved Grey-Markov model and its application in prediction of flight accident rate. China Safety Science Journal. 19(9).
   Google Scholar
• Ministry of Commerce of China. 2012. Regulations on Standards for Compulsory Scrapping of Motor Vehicles. [Accessed 2012 Dec] http://www.mofcom.gov.cn/article/b/d/201301/20130100003957.shtml
   Google Scholar
• Ministry of Industry and Information Technology, SAE-China. 2017. Road map of energy conservation and new energy vehicle technology. Beijing, China: Mechanical Industry Press. p. P224.
   Google Scholar
• Ministry of Industry and Information Technology of China. 2017. Medium and long term development plan of automobile industry [accessed 2017 April]. http://www.miit.gov.cn/n1146295/n1652858/n1652930/n3757018/c5600356/content.html.
   Google Scholar
• Nilsson G. 2004. Traffic safety dimensions and the power model to describe the effect of speed on safety[D]. Univ.
   Google Scholar
• Penmetsa P, Hudnall M, Nambisan S. 2019. Potential safety benefits of lane departure prevention technology. IATSS Res. 43(1):21–26. doi:10.1016/j.iatssr.2018.08.002
   Web of Science ®Google Scholar
• Reagan IJ, Cicchino JB, Kerfoot LB, Weast RA. 2018. Crash avoidance and driver assistance technologies–Are they used?. Transp Res Part F Traffic Psychol Behav. 52:176–190.
   Web of Science ®Google Scholar
• Reagan IJ, McCartt AT. 2016. Observed activation status of lane departure warning and forward collision warning of Honda vehicles at dealership service centers. Traffic Inj Prev. 17(8):827–832.
   PubMed Web of Science ®Google Scholar
• Sternlund S. 2017. The safety potential of lane departure warning systems—a descriptive real-world study of fatal lane departure passenger car crashes in Sweden. Traffic Inj Prev. 18(sup1):S18–S23. doi:10.1080/15389588.2017.1313413
   PubMed Web of Science ®Google Scholar
• Sternlund S, Strandroth J, Rizzi M, Lie A, Tingvall C. 2017. The effectiveness of lane departure warning systems—a reduction in real-world passenger car injury crashes. Traffic Inj Prev. 18(2):225–229. doi:10.1080/15389588.2016.1230672
   PubMed Web of Science ®Google Scholar
• The Ministry of Public Security of the People’s Republic of China. 2017. Annual Report on Road Traffic Accidents of the People's Republic of China, July.
   Google Scholar
• The Scrap Vehicle Recycling Market in China 2018-2022 ResearchAndMarkets.com. 2018. Asia Business Newsweekly 14 123. [Accessed 2018 Aug] http://bi.galegroup.com/global/article/GALE%7CA549867187?u=tsinghua.
   Google Scholar
• Thulin H, Nilsson G. 1994. Road traffic, exposure, injury risks and injury consequences for different travel modes and age groups[M]. Statens Väg-och Transportforskningsinstitut., VTI rapport 390A.
   Google Scholar
• Wang X, Liu X-Y. 2017. Research of traffic accident prediction based on Grey-Markov model. Technology & Economy in Areas of Communication. 19(4):9–13.
   Google Scholar
• Wilmink I, Janssen W, Jonkers E, Malone K, Van Noort M, Gerdien Klunder G, Rama P, Sihvola N, Kulmala R, Schirokoff A, et al. 2008. Socio-economic impact assessment of stand-alone and co-operative intelligent vehicle safety systems (IVSS) in Europe. Delft, Netherlands: TNO.
   Google Scholar
• Wilson B, Stearns M, Koopmann J, David Yang CY. 2007. Evaluation of a road-departure crash warning system. United States: National Highway Safety Bureau.
   Google Scholar
• World Health Organization. 2018. Global status report on road safety. Geneva: World Health Organization; Licence: CC BYNC-SA 3.0 IGO. https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/.
   Google Scholar
• Xu C-M. 2018. Interpretation of China's Automobile Industry Situation and Development Trend. [Accessed 2018 Nov 12] http://www.sic.gov.cn/News/79/9625.htm
   Google Scholar
• Zhang J-Q. 2016. Comparison study on prediction models of death toll for road traffic accidents. China Safety Science Journal. 26(9):1003–3033.
   Google Scholar