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Connected and autonomous vehicle injury loss events: Potential risk and actuarial considerations for primary insurers. (2021). Jannusch, Tim ; Mullins, Martin ; Cunneen, Martin ; Davidspickermann, Florian ; Murphy, Finbarr ; Shannon, Darren.
In: Risk Management and Insurance Review.
RePEc:bla:rmgtin:v:24:y:2021:i:1:p:5-35.

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  1. Airbib, J., & Seba, T. (2017). Rethinking transportation 2020‐2030: The disruption of transportation and the collapse of the internal‐combustion vehicle and oil industries. RethinkTransportation. RethinkX.
    Paper not yet in RePEc: Add citation now
  2. Ali, A., Jiang, L., Patil, S., Li, J., & Heath, R. W. (2018). Vehicle‐to‐vehicle communication for autonomous vehicles: Safety and maneuver planning. In: Proceedings of the IEEE 88th Vehicular Technology Conference (VTC‐Fall), pp. 1–5.
    Paper not yet in RePEc: Add citation now
  3. Allianz, S. E. (2016). Semi‐autonomous driving: Safer and cheaper. Munich, DE.
    Paper not yet in RePEc: Add citation now
  4. Automated and Electric Vehicles Act. (2018). C.18.
    Paper not yet in RePEc: Add citation now
  5. Baecke, P., & Bocca, L. (2017). The value of vehicle telematics data in insurance risk selection processes. Decision Support Systems, 98, 69–79.
    Paper not yet in RePEc: Add citation now
  6. Bahnemann, D. (2015). Distributions for actuaries. CAS Monograph Series, 2.
    Paper not yet in RePEc: Add citation now
  7. Bansal, P., & Kockelman, K. M. (2017). Forecasting americans' long‐term adoption of connected and autonomous vehicle technologies. Transportation Research Part A: Policy and Practice, 95, 49–63.
    Paper not yet in RePEc: Add citation now
  8. Bareiss, M., & Gabler, H. C. (2020). Estimating near side crash injury risk in best performing passenger vehicles in the united states. Accident Analysis & Prevention, 138, 105434.
    Paper not yet in RePEc: Add citation now
  9. Bareiss, M., Scanlon, J., Sherony, R., & Gabler, H. C. (2019). Crash and injury prevention estimates for intersection driver assistance systems in left turn across path/opposite direction crashes in the united states. Traffic injury prevention, 20(sup1), S133–S138.
    Paper not yet in RePEc: Add citation now
  10. Baumann, M. F., Brändle, C., Coenen, C., & Zimmer‐Merkle, S. (2019). Taking responsibility: A responsible research and innovation (rri) perspective on insurance issues of semi‐autonomous driving. Transportation Research Part A: Policy and Practice, 124, 557–572.
    Paper not yet in RePEc: Add citation now
  11. Bellon, T. (2019). New auto safety technology leaves insurers in the dark. Reuters. Ruckersville, VA.
    Paper not yet in RePEc: Add citation now
  12. Bhavsar, P., Das, P., Paugh, M., Dey, K., & Chowdhury, M. (2017). Risk analysis of autonomous vehicles in mixed traffic streams. Transportation Research Record, 2625(1), 51–61.
    Paper not yet in RePEc: Add citation now
  13. Bierstedt, J., Gooze, A., Gray, C., Peterman, J., Raykin, L., & Walters, J. (2014). Effects of next‐generation vehicles on travel demand and highway capacity.
    Paper not yet in RePEc: Add citation now
  14. Birrell, S. A., Fowkes, M., & Jennings, P. A. (2014). Effect of using an in‐vehicle smart driving aid on real‐world driver performance. IEEE Transactions on Intelligent Transportation Systems, 15(4), 1801–1810.
    Paper not yet in RePEc: Add citation now
  15. Boucher, J. P., Denuit, M., & Guillen, M. (2009). Number of accidents or number of claims? An approach with zero‐inflated poisson models for panel data. Journal of Risk and Insurance, 76(4), 821–846.

  16. Campbell, M. (1986). An integrated system for estimating the risk premium of individual car models in motor insurance. ASTIN Bulletin: The Journal of the IAA, 16(2), 165–183.

  17. Casey, P. P., Feyer, A. M., & Cameron, I. D. (2015). Associations with duration of compensation following whiplash sustained in a motor vehicle crash. Injury, 46(9), 1848–1855.
    Paper not yet in RePEc: Add citation now
  18. Casualty Actuarial Society. (2018). Automated vehicles and the insurance industry—a pathway to safety: The case for collaboration. The CAS Automated Vehicles Task Force, Arlington, VA.
    Paper not yet in RePEc: Add citation now
  19. Central Bank of Ireland. (2019). Private motor insurance report 1: National claims information database. Central Bank of Ireland, Dublin, Ireland.
    Paper not yet in RePEc: Add citation now
  20. Charpentier, A., David, A., & Elie, R. (2017). Optimal claiming strategies in bonus malus systems and implied markov chains. Risks, 5(4), 58.

  21. Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016). Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions. Transportation Research Part A: Policy and Practice, 94, 243–254.

  22. Cicchino, J. B. (2017). Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front‐to‐rear crash rates. Accident Analysis & Prevention, 99, 142–152.
    Paper not yet in RePEc: Add citation now
  23. Claus, S., Silk, N., & Wiltshire, C. (2017). Potential impacts of autonomous vehicles on the UK insurance sector. Bank of England Quarterly Bulletin Q1.

  24. Cohen, T., & Cavoli, C. (2019). Automated vehicles: Exploring possible consequences of government (non) intervention for congestion and accessibility. Transport Reviews, 39(1), 129–151.

  25. Cohen, T., Stilgoe, J., & Cavoli, C. (2018). Reframing the governance of automotive automation: Insights from UK stakeholder workshops. Journal of Responsible Innovation, 5(3), 257–279.
    Paper not yet in RePEc: Add citation now
  26. Davidson, P., & Spinoulas, A. (2015). Autonomous vehicles: What could this mean for the future of transport. In: Proceedings of the Australian Institute of Traffic Planning and Management (AITPM) National Conference, Brisbane, Queensland.
    Paper not yet in RePEc: Add citation now
  27. Daziano, R. A., Sarrias, M., & Leard, B. (2017). Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transportation Research Part C: Emerging Technologies, 78, 150–164.
    Paper not yet in RePEc: Add citation now
  28. Denuit, M., Maréchal, X., Pitrebois, S., & Walhin, J.‐F. (2007). Actuarial modelling of claim counts: Risk classification, credibility and bonus‐malus systems. John Wiley & Sons.

  29. Desyllas, P., & Sako, M. (2013). Profiting from business model innovation: Evidence from pay‐as‐you‐drive auto insurance. Research Policy, 42(1), 101–116.

  30. Deutscher Bundesrat. (2017). Gesetzentwurf der bundesregierung, entwurf eines gesetzes zur änderung des straßenverkehrsgesetzes. In: Bundesrat, D. ed., Berlin, DE.
    Paper not yet in RePEc: Add citation now
  31. Doyle, M., Edwards, A., & Avery, M. (2015). AEB real world validation using uk motor insurance claims data. In: Proceedings of the 24th ESV Conference, pp. 13–58.
    Paper not yet in RePEc: Add citation now
  32. European Commission. (2014). Directive 2014/51/eu of the european parliament and of the council. In: Parliament, E. ed. Official Journal of the EU.
    Paper not yet in RePEc: Add citation now
  33. European Commission. (2019). Road safety: Commission welcomes agreement on new eu rules to help save lives. European Commission.
    Paper not yet in RePEc: Add citation now
  34. Forsgren, K. (2018). The road ahead for autonomous vehicles. S&P Global Ratings.
    Paper not yet in RePEc: Add citation now
  35. Gatzert, N., & Osterrieder, K. (2020). The future of mobility and its impact on the automobile insurance industry. Risk Management and Insurance Review, 23, 31–51.

  36. George, A. M., Brown, P. M., Scholz, B., Scott‐Parker, B., & Rickwood, D. (2018). “I need to skip a song because it sucks”: Exploring mobile phone use while driving among young adults. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 382–391.
    Paper not yet in RePEc: Add citation now
  37. Goyal, M. (2014). Insurance telematics. International Journal of Innovative Research and Development, 3(6), 72–76.
    Paper not yet in RePEc: Add citation now
  38. Grace, M. F., & Ping, J. (2018). Driverless technologies and their effects on insurers and the state: An initial assessment. Risk Management and Insurance Review, 21(3), 413–433.

  39. Griffin, R., Mcgwin, G., & Kerby, J. (2018). Decomposition analysis of the effects of vehicle safety technologies on the motor vehicle collision–related mortality rate from 1994 to 2015. Traffic Injury Prevention, 19(Suppl 2), S169–S172.
    Paper not yet in RePEc: Add citation now
  40. Hajek, W., Gaponova, I., Fleischer, K., & Krems, J. (2013). Workload‐adaptive cruise control–a new generation of advanced driver assistance systems. Transportation Research Part F: Traffic Psychology and Behaviour, 20, 108–120.
    Paper not yet in RePEc: Add citation now
  41. Handel, P., Skog, I., Wahlstrom, J., Bonawiede, F., Welch, R., Ohlsson, J., & Ohlsson, M. (2014). Insurance telematics: Opportunities and challenges with the smartphone solution. IEEE Intelligent Transportation Systems Magazine, 6(4), 57–70.
    Paper not yet in RePEc: Add citation now
  42. Help Net Security. (2020). Automotive cybersecurity incidents doubled in 2019, up 605% since 2016. Help Net Security.
    Paper not yet in RePEc: Add citation now
  43. Henao, A., & Marshall, W. E. (2019). The impact of ride‐hailing on vehicle miles traveled. Transportation, 46(6), 2173–2194.
    Paper not yet in RePEc: Add citation now
  44. Hirayama, T., Mase, K., & Takeda, K. (2012). Detection of driver distraction based on temporal relationship between eye‐gaze and peripheral vehicle behavior. In: Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, pp. 870–875.
    Paper not yet in RePEc: Add citation now
  45. Husnjak, S., Peraković, D., Forenbacher, I., & Mumdziev, M. (2015). Telematics system in usage based motor insurance. Procedia Engineering, 100, 816–825.
    Paper not yet in RePEc: Add citation now
  46. Insurance Europe, 2018. European insurance–key facts, october 2018.
    Paper not yet in RePEc: Add citation now
  47. Insurance Institute for Highway Safety. (2016). U.S. Dot and IIHS announce historic commitment of 20 automakers to make automatic emergency braking standard on new vehicles. Insurance Institute for Highway Safety, McLean, VA.
    Paper not yet in RePEc: Add citation now
  48. Isaksson‐Hellman, I., & Lindman, M. (2018). An evaluation of the real‐world safety effect of a lane change driver support system and characteristics of lane change crashes based on insurance claims data. Traffic Injury Prevention, 19(Suppl 1), S104–S111.
    Paper not yet in RePEc: Add citation now
  49. Jannusch, T., Shannon, D., Völler, M., Murphy, F., & Mullins, M. (2021). Smartphone use while driving: An investigation of young novice driver (ynd) behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 209–220.
    Paper not yet in RePEc: Add citation now
  50. Jiang, Y., Zhang, J., Wang, Y., & Wang, W. (2018). Drivers' behavioral responses to driving risk diagnosis and real‐time warning information provision on expressways: A smartphone app–based driving experiment. Journal of Transportation Safety & Security, 1–29.
    Paper not yet in RePEc: Add citation now
  51. Jung, S.‐J., Shin, H.‐S., & Chung, W.‐Y. (2014). Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel. IET Intelligent Transport Systems, 8(1), 43–50.
    Paper not yet in RePEc: Add citation now
  52. Kaltenhäuser, B., Werdich, K., Dandl, F., & Bogenberger, K. (2020). Market development of autonomous driving in germany. Transportation Research Part A: Policy and Practice, 132, 882–910.

  53. Kasperson, R. E., Renn, O., Slovic, P., Brown, H. S., Emel, J., Goble, R., Kasperson, J. X., & Ratick, S. (1988). The social amplification of risk: A conceptual framework. Risk Analysis, 8(2), 177–187.

  54. KPMG. (2015). Marketplace of change: Automobile insurance in the era of autonomous vehicles. KPMG.
    Paper not yet in RePEc: Add citation now
  55. Lee, B.‐G., & Chung, W.‐Y. (2012). Driver alertness monitoring using fusion of facial features and bio‐signals. IEEE Sensors Journal, 12(7), 2416–2422.
    Paper not yet in RePEc: Add citation now
  56. Liberty Mutual Insurance. (2017). Fourth quarter and full year 2016 results. Boston, MA.
    Paper not yet in RePEc: Add citation now
  57. Liberty Mutual Insurance. (2020). Liberty mutual insurance teams up with ford to bring usage‐based insurance to connected vehicles. Boston, MA.
    Paper not yet in RePEc: Add citation now
  58. Litman, T. (2020). Autonomous vehicle implementation predictions: Implications for transport planning.
    Paper not yet in RePEc: Add citation now
  59. Litman, T., 2015. Autonomous vehicle implementation predictions: Implications for transport planning. In: Board, T.R. ed. Transportation Research Board 94th Annual Meeting. Washington, DC.
    Paper not yet in RePEc: Add citation now
  60. Lokhandwala, M., & Cai, H. (2018). Dynamic ride sharing using traditional taxis and shared autonomous taxis: A case study of nyc. Transportation Research Part C: Emerging Technologies, 97, 45–60.
    Paper not yet in RePEc: Add citation now
  61. Martínez‐Díaz, M., & Soriguera, F. (2018). Autonomous vehicles: Theoretical and practical challenges. Transportation Research Procedia, 33, 275–282.
    Paper not yet in RePEc: Add citation now
  62. Mcevoy, S. P., Stevenson, M. R., Mccartt, A. T., Woodward, M., Haworth, C., Palamara, P., & Cercarelli, R. (2005). Role of mobile phones in motor vehicle crashes resulting in hospital attendance: A case‐crossover study. BMJ, 331(7514), 428.
    Paper not yet in RePEc: Add citation now
  63. Mittelstadt, B. D., Stahl, B. C., & Fairweather, N. B. (2015). How to shape a better future? Epistemic difficulties for ethical assessment and anticipatory governance of emerging technologies. Ethical Theory and Moral Practice, 18(5), 1027–1047.
    Paper not yet in RePEc: Add citation now
  64. Neininger, M. (2019). Telematik‐tarife sind besser als ihr ruf‐meint huk‐coburg. Versicherungs Magazin.
    Paper not yet in RePEc: Add citation now
  65. Östling, M., Lubbe, N., Jeppsson, H., & Puthan, P. (2019). Passenger car safety beyond adas: Defining remaining accident configurations as future priorities. In: Proceedings of the Proceedings of 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Eindhoven, NL.
    Paper not yet in RePEc: Add citation now
  66. Papa, E., & Ferreira, A. (2018). Sustainable accessibility and the implementation of automated vehicles: Identifying critical decisions. Urban Science, 2(1), 5.
    Paper not yet in RePEc: Add citation now
  67. Ponte, G., Ryan, G., & Anderson, R. (2016). An estimate of the effectiveness of an in‐vehicle automatic collision notification system in reducing road crash fatalities in south australia. Traffic Injury Prevention, 17(3), 258–263.
    Paper not yet in RePEc: Add citation now
  68. Ptolomeus Consulting Group. (2018). Quarterly ubi dashboard. Brussels, BE.
    Paper not yet in RePEc: Add citation now
  69. Pütz, F., Murphy, F., & Mullins, M. (2019). Driving to a future without accidents? Connected automated vehicles' impact on accident frequency and motor insurance risk. Environment Systems and Decisions, 39(4), 383–395.

  70. Ryan, C., Murphy, F., & Mullins, M. (2019). Semiautonomous vehicle risk analysis: A telematics‐based anomaly detection approach. Risk Analysis, 39(5), 1125–1140.

  71. Ryan, C., Murphy, F., & Mullins, M. (2020). End‐to‐end autonomous driving risk analysis: A behavioural anomaly detection approach. IEEE Transactions on Intelligent Transportation Systems, 1–13.
    Paper not yet in RePEc: Add citation now
  72. Sae International (2016). Taxonomy and definitions for terms related to on‐road motor vehicle automated driving systems. Society of Automotive Engineers, 12.
    Paper not yet in RePEc: Add citation now
  73. Scanlon, J. M., Kusano, K. D., Sherony, R., & Gabler, H. C. (2015). Potential safety benefits of lane departure warning and prevention systems in the us vehicle fleet. In: Proceedings of the 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV) National Highway Traffic Safety Administration, Gothenburg, Sweden.
    Paper not yet in RePEc: Add citation now
  74. Scanlon, J. M., Sherony, R., & Gabler, H. C. (2017). Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the united states. Traffic injury prevention, 18(Suppl 1), S9–S17.
    Paper not yet in RePEc: Add citation now
  75. Schultz, P. (2019). Aon ils annual report 2019 ‐ alternative capital: Strength through disruption. Aon, Chicago, IL.
    Paper not yet in RePEc: Add citation now
  76. Shabanpour, R., Golshani, N., Shamshiripour, A., & Mohammadian, A. K. (2018). Eliciting preferences for adoption of fully automated vehicles using best‐worst analysis. Transportation Research Part C: Emerging Technologies, 93, 463–478.
    Paper not yet in RePEc: Add citation now
  77. Shannon, D., Rizzi, L., Murphy, F., & Mullins, M. (2020). Exploring the price of motor vehicle collisions–a compensation cost approach. Transportation Research Interdisciplinary. Perspectives, 100097.
    Paper not yet in RePEc: Add citation now
  78. Sheehan, B., Murphy, F., Ryan, C., Mullins, M., & Liu, H. Y. (2017). Semi‐autonomous vehicle motor insurance: A bayesian network risk transfer approach. Transportation Research Part C: Emerging Technologies, 82, 124–137.
    Paper not yet in RePEc: Add citation now
  79. Spicer, R., Vahabaghaie, A., Bahouth, G., Drees, L., Martinez Von Bülow, R., & Baur, P. (2018). Field effectiveness evaluation of advanced driver assistance systems. Traffic Injury Prevention, 19, 1–5.
    Paper not yet in RePEc: Add citation now
  80. State of California DMV. (2019). Autonomous vehicle disengagement reports 2018. State of California ‐ Department of Motor Vehicles, Sacramento, CA.
    Paper not yet in RePEc: Add citation now
  81. Tselentis, D. I., Yannis, G., & Vlahogianni, E. I. (2017). Innovative motor insurance schemes: A review of current practices and emerging challenges. Accident Analysis &. Prevention, 98, 139–148.
    Paper not yet in RePEc: Add citation now
  82. Vaia, G., Trautsch, H., Carmel, E., Menichetti, F., & Delone, W. (2012). Vehicle telematics at an italian insurer: New auto insurance products and a new industry ecosystem. MIS Quarterly Executive, 11(3).
    Paper not yet in RePEc: Add citation now
  83. Walker, J., & Johnson, C. (2016). Peak car ownership: The market opportunity of electric automated mobility services. Rocky Mountain Institute.
    Paper not yet in RePEc: Add citation now
  84. Weidner, W., Transchel, F. W., & Weidner, R. (2017). Telematic driving profile classification in car insurance pricing. Annals of Actuarial Science, 11(2), 213–236.

  85. Williams, D. (2018). Driverless cars: The future of road transport and the implications for insurance. AXA Insurance.
    Paper not yet in RePEc: Add citation now
  86. Xu, X., & Fan, C.‐K. (2019). Autonomous vehicles, risk perceptions and insurance demand: An individual survey in china. Transportation Research Part A: Policy and Practice, 124, 549–556.

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  25. Copula models for insurance claim numbers with excess zeros and time-dependence. (2012). Zhao, Xiaobing ; Zhou, Xian.
    In: Insurance: Mathematics and Economics.
    RePEc:eee:insuma:v:50:y:2012:i:1:p:191-199.

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  26. A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking. (2012). Bermudez, Lluis ; Karlis, Dimitris.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:12:p:3988-3999.

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  27. Bayesian multivariate Poisson models for insurance ratemaking. (2011). Bermudez, Lluis ; Karlis, Dimitris.
    In: Insurance: Mathematics and Economics.
    RePEc:eee:insuma:v:48:y:2011:i:2:p:226-236.

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  28. Forecasting in an extended chain-ladder-type model. (2010). Nielsen, Jens Perch ; Kuang, DI.
    In: Economics Series Working Papers.
    RePEc:oxf:wpaper:2010-w05.

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