Automated vehicles and behavioural adaptation in Canada

Transportation Research Part A: Policy and Practice

Volumn 104, Issue , 2017, Pages 50-57

  Robertson, Robyn D ^a   Meister, Shawna R ^a   Vanlaar, Ward G M ^a   Mainegra Hing, Marisela ^a  

^a Traffic Injury Research Foundation   (Canada)

Author keywords

Automated vehicles; Behavioural adaptation; Limited self driving vehicles

Indexed keywords

AUTOMATION; MOTOR TRANSPORTATION; RAISE DRIVING; ROADS AND STREETS; VEHICLES;

AUTOMATED VEHICLES; BEHAVIOURAL ADAPTATION; DRIVER BEHAVIOUR; EDUCATIONAL STRATEGY; PUBLIC AWARENESS; ROAD ENVIRONMENT; SAFETY OBJECTIVES; SELF DRIVINGS;

BEHAVIORAL RESEARCH;

AUTOMATION; GOVERNANCE APPROACH; PERCEPTION; TECHNOLOGICAL DEVELOPMENT; TRANSPORTATION SAFETY; TRANSPORTATION TECHNOLOGY; TRAVEL BEHAVIOR;

CANADA;

EID: 85026817125     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2017.08.005     Document Type: Article

References (37)

1. Blanco, M., Atwood, J., Russell, S., Trimble, T., McClafferty, J., Perez, M., Automated Vehicle Crash Rate Comparison Using Naturalistic Data. 2016, Tech Transportation Institute (VTTI), Blacksburg, VA, Virginia.
2. Becker, F., Axhausen, K.W., 2017. Literature review on surveys investigating the acceptance of autonomous vehicles, paper presented at the 96th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2017. Publisher IVT ETH Zürich. < https://www.ethz.ch/content/dam/ethz/special-interest/baug/ivt/ivt-dam/vpl/reports/1101-1200/ab1179.pdf>.
3. Cacciabue, P.C., Saad, F., Behavioural adaptations to driver support systems: a modelling and road safety perspective. Cogn. Technol. Work 10:1 (2008), 31–39.
4. Canadian Council of Motor Transport Administrators (CCMTA), 2016. CCMTA White Paper Automated Vehicles in Canada. < http://www.ccmta.ca/en/white-paper-on-automated-vehicles-in-canada>.
5. Chan, H.C., Teo, H., Evaluating the boundary conditions of the technology acceptance model: an exploratory investigation. ACM Trans. Comput.-Hum. Interact., 14(2), 2007, 9.
6. Cinder1280, 2014.“Mercedes S Class Active Lane Assist Hack. Retrieved from < https://www.youtube.com/watch?v=Kv9JYqhFV-M>. October 2015.
7. Crazyerics, 2013. Audi A7 - Adaptive Cruise Control in Heavy Traffic Retrieved from < https://www.youtube.com/watch?v=MKBCGZn3icY>. October 2015.
8. Cox Automotive (2016). Kelley Blue Book Future Autonomous Vehicle Driver Study. < http://mediaroom.kbb.com/download/Kelley+Blue+Book+Future+Autonomous+Vehicle+Driver+Study+-+FINAL.pdf>.
9. DesRosiers, Dennis, 2002. The Need for Dialogue: A Perspective on Vehicle Safety. DesRosiers Automotive Reports, vol. 16, no. 9.
10. Fagnant, D., Kockelman, K., Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations for capitalizing on self-driven vehicles. Transp. Res. Part A 77 (2015), 167–181.
11. Hedlund, J., 2017. Vehicles Meet Human Drivers: Traffic Safety Issues for States. Governors Highway Safety Association. < http://www.ghsa.org/sites/default/files/2017-01/AV%202017%20-%20FINAL.pdf>.
12. Kelkel, R., Predicting Consumers’ Intention to Purchase Fully Autonomous Driving Systems – Which Factors Drive Acceptance?. 2015, Universidade Católica Portuguesa, Lisbon, Portugal.
13. Kovacs, P., 2016. Automated Vehicles: Implications for the Insurance Industry of Canada. The Insurance Institute of Canada: Toronto, ON.
14. KPMG Insurance, 2015. Marketplace of change: Automobile insurance in the era of autonomous vehicles (white paper).
15. Morning Consult, 2016. National Tracking Poll Aug. 23–24, 2016. < http://www.vox.com/2016/8/29/12647854/uber-self-driving-poll>.
16. Muir, B.M., Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics 37:11 (1994), 1905–1922.
17. National Highway Traffic Safety Administration (NHTSA), National Motor Vehicle Crash Causation Survey: Report to Congress. 2008, U.S. Department of Transportation, Springfield, VA.
18. NHTSA, Preliminary Statement of Policy Concerning Automated Vehicles. 2013, U.S. Department of Transportation < https://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdf>.
19. NHTSA, 2016. Federal Automated Vehicles Policy. Accelerating the Next Revolution in Roadway Safety. U.S. Department of Transportation. < https://one.nhtsa.gov/nhtsa/av/pdf/Federal_Automated_Vehicles_Policy.pdf>.
20. Osswald, S., Wurhofer, D., Trösterer, S., Beck, E., Tscheligi, M., Predicting information technology usage in the car: towards a car technology acceptance model. Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012, ACM, Portsmouth, NH.
21. Robertson, R.D., Mainegra, Hing M., Pashley, C.R., Brown, S., Vanlaar, W.G., Prevalence and trends of drugged driving in Canada. Accid. Anal. Prev. 99 (2017), 236–241, 10.1016/j.aap.2016.12.008.
22. Robertson, R.D., Meister, S.R., Vanlaar, W.G.M., Automated Vehicles: Driver Knowledge, Attitudes, and Practices. 2016, Traffic Injury Research Foundation, Ottawa, ON http://tirf.ca/publications/publications_show.php?pub_id=342.
23. Robertson, R.D., Vanlaar, W.G.M., Marcoux, K., McAteer, H.J., Vehicle Safety Features: Knowledge, Perceptions, and Driving Habits. 2012, Traffic Injury Research Foundation (TIRF), Ottawa, ON.
24. Robertson, R.D., Wood, K., Holmes, E.A., Impaired Driving Risk Assessment: A Primer for Practitioners. 2014, Traffic Injury Research Foundation, Ottawa, Canada.
25. Rudin-Brown, C., Burns, P., Jenkins, R., Whitehead, T., LeBlond, O., 2011. ESC (Electronic Stability Control) Public and Driver Surveys. Transport Canada: TP 14848E.
26. Rudin-Brown, C.M., Jamson, S.L., (eds.) Behavioural Adaptation and Road Safety: Theory, Evidence and Action, 2013, Taylor & Francis, Boca Raton, FL.
27. Rudin-Brown, C., Noy, I., 2002. Investigation of Behavioral Adaptation to Lane Departure Warnings. Transport Canada: Paper no. 02-2454.
28. Schoettle, B., Sivak, M., A Survey of Public Opinion About Autonomous and Self-Driving Vehicles in the US, the UK, and Australia. 2014, University of Michigan Transportation Research Institute (UMTRI), Ann Arbor, Michigan.
29. Schoettle, B., Sivak, M., 2015. Motorists' Preferences for Different Levels of Vehicle Automation. University of Michigan Transportation Research Institute (UMTRI) Report Number UMTRI-2015-22. Ann Arbor, Michigan.
30. StataCorp, Stata Statistical Software: Release 14. 2015, StataCorp LP, College Station, TX.
31. State Farm, 2016. Autonomous Vehicles. < https://newsroom.statefarm.com/state-farmreleases-autonomous-vehicles-survey-results#6Ib0WXJ6fLHHh76t.97>.
32. The Associated Press, 2016. Uber to use self-driving cars to haul people in next few weeks. Retrieved from < http://www.cbc.ca/news/business/uber-pittsburgh-autonomous-cars-1.3726370>. August 2016. CBC News: Business.
33. Transportation Research Board (TRB), 2015. Automated and Connected Vehicles: Summary of the 9th University Transportation Centers Spotlight Conference. In: Automated and Connected Vehicles. Washington, DC.
34. Transportation Research Board, 2017. Automated Vehicles Symposium 2016. Transportation Research Circular E-C222. Retrieved July 2017 from < http://onlinepubs.trb.org/onlinepubs/circulars/ec222.pdf>.
35. Vanlaar, W.G.M., Robertson, R.D., Marcoux, K., Mayhew, D., Brown, S., Boase, P., Trends in alcohol-impaired driving in Canada. Accid. Anal. Prev. 48 (2012), 297–302.
36. Vanlaar, W., Simpson, H., Mayhew, D., Robertson, R., Fatigued and drowsy driving: a survey of attitudes, opinions and behaviors. J. Safety Res. 39 (2008), 303–309, 10.1016/j.jsr.2007.12.007.
37. Vanlaar, W., Simpson, H., Mayhew, D., Robertson, R., Aggressive driving: a survey of attitudes, opinions and behaviors. J. Safety Res. 39 (2008), 375–381, 10.1016/j.jsr.2008.05.005.