References
- Anderson R, Hutchinson TP, Linke B, et al. 2010. Analysis of crash data to estimate the benefits of emerging vehicle technology. Centre for Automotive safety Research, The University of Adelaide.
- Deployment of Interurban ATT Test Scenarios (DIATS) Deliverable 15. 1998. Assessment of the safety issues relevant to the deployment of ATT test scenarios, Brussels, Belgium: DGVII. RO-96-SC. 301 CEC.
- Francher P, Ervin R, Sayer J, Hagan M, Bogard S, Bareket Z, Mefford M, Haugan J. 1998. Intelligent cruise control field operational test-final report, July 1998. DOT HS 808 849. Springfield, Virginia 22161 USA: NTIS.
- Jeong E, Oh C. 2017. Evaluating the effectiveness of active vehicle safety systems. Accid Anal Prev. 100:85–96. https://doi.org/https://doi.org/10.1016/j.aap.2017.01.015
- Gordon T, Sardar H, Blower D, Ljung Aust M, Bareket Z, Barnes M, Blankespoor A, Isaksson‐Hellman I, Ivarsson J, 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. Washington, DC. https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/811405.pdf.
- James RM, Melson C, Hu J, et al. 2019. Characterizing the impact of production adaptive cruise control on traffic flow: an investigation. Transportmetrica B: Transp. Dyn. 7(1):992–1012.
- Kidd DG, Reagan IJ. 2019. System attributes that influence reported improvement in drivers’ experiences with adaptive cruise control and active lane keeping after daily use in five production vehicles. Int J Hum–Comput Int. 35(11):972–979. https://doi.org/https://doi.org/10.1080/10447318.2018.1561786
- 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. doi:https://doi.org/10.3390/su11123273
- Kulmala R. 2010. Ex-ante assessment of the safety effects of intelligent transport systems. Accid Anal Prev. 42(4):1359–1369. doi:https://doi.org/10.1016/j.aap.2010.03.001
- Li Y, Li Z, Wang H, et al. 2017. Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways. Accid Anal Prev. 104:137–145. https://doi.org/https://doi.org/10.1016/j.aap.2017.04.025
- Ministry of Environmental Protection of China. 2013. Limits and measurement methods for emissions from light-duty vehicles (China 5). Sep.
- Ministry of Industry and Information Technology of China. 2017. Medium and long term development plan of automobile industry. Available from: http://www.miit.gov.cn/n1146295/n1652858/n1652930/n3757018/c5600356/content.html.
- Ministry of Public Security of the People’s Republic of China. 2018. Annual report on road traffic accidents of the People’s Republic of China (2017), July.
- Najm W, Stearns M, Howarth H, et al. 2006. Evaluation of an automotive rear-end collision avoidance system[R]. United States. Department of Transportation. National Highway Traffic Safety Administration.
- Nowakowski C, O'Connell J, Shladover S E, Cody D. 2010. Cooperative adaptive cruise control: driver acceptance of following gap settings less than one second. Paper presented at the Proceedings of the Human Factors and Ergonomics Society Annual Meeting, (Vol. 54, No. 24, pp. 2033–2037). SAGE Publications. https://doi.org/https://doi.org/10.1177/154193121005402403
- Piccinini GFB, Simões A, Rodrigues CM. 2012. Effects on driving task and road safety impact induced by the usage of adaptive cruise control (ACC): a focus groups study. Int J Hum Factors Ergon. 1(3):234–253. https://doi.org/https://doi.org/10.1504/IJHFE.2012.050870
- Rakha H, Hankey J, Patterson A, Aerde MV. 2001. Field evaluation of safety impacts of adaptive cruise control. J Intell Transp Syst. 6(3):225–259. doi:https://doi.org/10.1080/10248070108903694
- Reagan IJ, Hu W, Cicchino JB, Seppelt B, Fridman L, Glazer M. 2019. Measuring adult drivers’ use of level 1 and 2 driving automation by roadway functional class. Proc Hum Factors Ergonom Soc Annu Meet. 63(1):2093–2097.
- Schakel WJ, Gorter CM, de Winter JCF, et al. 2017. Driving characteristics andadaptive cruise control? A naturalistic driving study. IEEE Intelligent Transportation Systems Magazine. 9(2):17–24. https://doi.org/https://doi.org/10.1109/MITS.2017.2666582
- Securities and Exchange Commission (SEC). 2020. Registration statement of Xpeng Inc. Available from: https://www.sec.gov/Archives/edgar/data/1810997/000119312520212871/d890887df1.htm.
- Society of Automotive Engineers of China. 2017a. Research on the trend of vehicle stock growth and energy demand in the mid and long term. Beijing (China): SAE-China.
- Society of Automotive Engineers of China. 2017b. Road map of energy conservation and new energy vehicle technology. Beijing (China): Mechanical Industry Press; p. 224.
- 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:https://doi.org/10.1080/15389588.2016.1230672
- Tan H, Zhao F, Hao H, Liu Z, Amer AA, Babiker H. 2020. Automatic emergency braking (AEB) system impact on fatality and injury reduction in China. IJERPH. 17(3):917. doi:https://doi.org/10.3390/ijerph17030917
- United Nations, Department of Economic and Social Affairs, Population Division. 2019. World population prospects 2019, online edition. Available from: https://population.un.org/wpp/Download/Standard/Population/.
- Varotto SF, Farah H, Bogenberger K, et al. 2020. Adaptations in driver behaviour characteristics during control transitions from full-range Adaptive Cruise Control to manual driving: an on-road study. Transportmetrica A: Transp Sci. (just-accepted):1–52.
- Vollrath. M, S. Schleicher, C. Gelau. 2011. The influence of cruise control and adaptive cruise control on driving behaviour — A driving simulator study. Accid Anal Prev. 43:1134–1139. https://doi.org/https://doi.org/10.1016/j.aap.2010.12.023
- i-Vista. Results of intelligent vehicles test. [accessed 2019 Sep]. Available at http://www.i-vista.org/
- Wilmink I, Janssen W, Jonkers E, Malone K, Van Noort M, Gerdien Klunder G, Rama P, Sihvola N, Kulmala R, Schirokoff A. 2008. Socio-economic impact assessment of stand-alone and co-operative intelligent vehicle safety systems (IVSS) in Europe. Impact Assessment of Intelligent Vehicle Safety Systems Report D4.
- World Health Organization. Global status report on road safety 2018. 2018. Available at: https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/
- Wu T, Zhao H, Ou X. 2014. Vehicle ownership analysis based on GDP per capita in China: 1963–2050. Sustainability. 6(8):4877–4899. doi:https://doi.org/10.3390/su6084877
- Yan X, Crookes RJC. 2009. Reduction potentials of energy demand and GHG emissions in China’s road transport sector. Energy Pol. 37(2):658–668. doi:https://doi.org/10.1016/j.enpol.2008.10.008
- Yoo SM, Chira-Chavala T. 1994. Potential safety benefits of intelligent cruise control systems. Accid Anal Prev. 26(2):135–146. https://doi.org/https://doi.org/10.1016/0001-4575(94)90083-3
- Zhang X. 2017. Development and application of regional energy emission air-quality climate health mode. Beijing (China): Tsinghua University.
- Zhang X, Benz T. 1993. Simulation and evaluation of “intelligent cruise control”. J. Intell Transp Syst. 1(2):181–190. https://doi.org/https://doi.org/10.1080/10248079308903791