Estimating the trip generation impacts of autonomous vehicles on car travel in Victoria, Australia

Springer Science and Business Media LLC - Tập 44 - Trang 1279-1292 - 2017
Long T. Truong1, Chris De Gruyter1, Graham Currie1, Alexa Delbosc1
1Public Transport Research Group, Department of Civil Engineering, Monash Institute of Transport Studies, Monash University, Clayton, Australia

Tóm tắt

Autonomous vehicles (AVs) potentially increase vehicle travel by reducing travel and parking costs and by providing improved mobility to those who are too young to drive or older people. The increase in vehicle travel could be generated by both trip diversion from other modes and entirely new trips. Existing studies however tend to overlook AVs’ impacts on entirely new trips. There is a need to develop a methodology for estimating possible impacts of AVs on entirely new trips across all age groups. This paper explores the impacts of AVs on car trips using a case study of Victoria, Australia. A new methodology for estimating entirely new trips associated with AVs is proposed by measuring gaps in travel need at different life stages. Results show that AVs would increase daily trips by 4.14% on average. The 76+ age group would have the largest increase of 18.5%, followed by the 18–24 age group and the 12–17 age group with 14.6 and 11.1% respectively. If car occupancy remains constant in AV scenarios, entirely new trips and trip diversions from public transport and active modes would lead to a 7.31% increase in car trips. However increases in car travel are substantially magnified by reduced car occupancy rates, a trend evidenced throughout the world. Car occupancy would need to increase by at least 5.3–7.3% to keep car trips unchanged in AV scenarios.

Tài liệu tham khảo

Anderson, J.M., Kalra, N., Stanley, K.D., Sorensen, P., Samaras, C., Oluwatola, O.A.: Autonomous Vehicle Technology A Guide for Policymakers. RAND Corporation, Santa Monica (2014) Bansal, P., Kockelman, K.M.: Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies. In: Transportation Research Board 95th Annual Meeting, Washington (2016) Bansal, P., Kockelman, K.M., Singh, A.: Assessing public opinions of and interest in new vehicle technologies: an Austin perspective. Transp. Res. Part C Emerg. Technol. 67, 1–14 (2016) Bierstedt, J., Gooze, A., Gray, C., Peterman, J., Raykin, L., Walters, J.: Effects of Next-Generation Vehicles on Travel Demand and Highway Capacity. FP Think (2014) Childress, S., Nichols, B., Charlton, B., Coe, S.: Using an activity-based model to explore the potential impacts of automated vehicles. Transp. Res. Rec. J. Transp. Res. Board 2493, 99–106 (2015) Currie, G., Gammie, F., Waingold, C., Paterson, D., Vandersar, D.: Rural and regional young people and transport: improving access to transport for young people in rural and regional Australia. National Youth Affairs Research Scheme (2005) Davidson, P., Spinoulas, A.: Autonomous vehicles: what could this mean for the future of transport? In: Australian Institute of Traffic Planning and Management (AITPM) National Conference, Brisbane, Queensland (2015) Delbosc, A., Currie, G.: Changing demographics and young adult driver license decline in Melbourne, Australia (1994–2009). Transportation 41(3), 529–542 (2014) DPTI: SA Becomes First Australian Jurisdiction to Allow On-Road Driverless Car Trials. Department of Planning, Transport and Infrastructure, Adelaide (2016) Fagnant, D.J., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A Policy Pract. 77, 167–181 (2015) Fagnant, D.J., Kockelman, K.M.: The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transp. Res. Part C Emerg. Technol. 40, 1–13 (2014) Greenblatt, J.B., Saxena, S.: Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles. Nat. Clim. Change 5(9), 860–863 (2015) Gucwa, M.: The mobility and energy impacts of automated cars. In: Automated Vehicles Symposium, San Francisco, CA (2014) Guerra, E.: Planning for cars that drive themselves: Metropolitan Planning Organizations, regional transportation plans, and autonomous vehicles. J. Plan. Educ. Res. 36(2), 210–224 (2016) Harper, C., Mangones, S., Hendrickson, C.T., Samaras, C.: Bounding the potential increases in vehicles miles traveled for the non-driving and elderly populations and people with travel-restrictive medical conditions in an automated vehicle environment. In: Transportation Research Board 94th Annual Meeting, Washington (2015) Heinrichs, D., Cyganski, R.: Automated driving: how it could enter our cities and how this might affect our mobility decisions. disP Plan. Rev. 51(2), 74–79 (2015) Hoogendoorn, R., Arem, B.V., Hoogendoorn, S.: Automated driving, traffic flow efficiency, and human factors. Transp. Res. Rec. J. Transp. Res. Board 2422, 113–120 (2014) ITF: Urban mobility system upgrade: How shared self-driving cars could change city traffic. International Transport Forum (2015) Kim, K., Rousseau, G., Freedman, J., Nicholson, J.: The travel impact of autonomous vehicles in metro atlanta through activity-based modeling. In: The 15th TRB National Transportation Planning Applications Conference (2015) KPMG: Self-driving cars: the next revolution. https://assets.kpmg.com/content/dam/kpmg/pdf/2015/10/self-driving-cars-next-revolution_new.pdf (2012) Kyriakidis, M., Happee, R., de Winter, J.C.F.: Public opinion on automated driving: results of an international questionnaire among 5000 respondents. Transp. Res. Part F Traffic Psychol. Behav. 32, 127–140 (2015) LaMondia, J.J., Fagnant, D.J., Qu, H., Barrett, J., Kockelman, K.: Long-distance travel mode-shifts due to automated vehicles: a statewide mode-shift simulation experiment and travel survey analysis. In: Transportation Research Board 95th Annual Meeting, Washington (2016) Levinson, D.: Climbing mount next: the effects of autonomous vehicles on society. Minnesota J. Law Sci. Technol. 16(2), 787–809 (2015) Liang, X., Correia, G.H.d.A., van Arem, B.: Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips. Transp. Res. Part E Logist. Transp. Rev. 93, 115–129 (2016) Litman, T.: Autonomous vehicle implementation predictions: implications for transport planning. Victoria Transport Policy Institute, Victoria (2015) Malokin, A., Circella, G., Mokhtarian, P.L.: How do activities conducted while commuting influence mode choice? testing public transportation advantage and autonomous vehicle scenarios. In: Transportation Research Board 94th Annual Meeting, Washington DC (2015) Milakis, D., Van Arem, B., Van Wee, G.: Policy and society related implications of automated driving: a review of literature and directions for future research. Delft University of Technology, Delft (2015) Morrow, W.R., Greenblatt, J.B., Sturges, A., Saxena, S., Gopal, A., Millstein, D., Shah, N., Gilmore, E.A.: Key factors influencing autonomous vehicles’ energy and environmental outcome. In: Meyer, G., Beiker, S. (eds.) Road Vehicle Automation. Springer, Berlin (2014) NHTSA: U.S. Department of Transportation Releases Policy on Automated Vehicle Development. National Highway Traffic Safety Administration, U.S. Department of Transportation, (2013) Schoettle, B., Sivak, M.: A survey of public opinion about autonomous and self-driving vehicles in the US, the UK, and Australia. The University of Michigan, Transportation Research Institute, Ann Arbor (2014) Shaz, K., Corpuz, G.: Serving passengers—are you being served? In: 4th Annual PATREC Research Forum (2008) Shladover, S.E.: Cooperative (rather than autonomous) vehicle-highway automation systems. IEEE Intell. Transp. Syst. Mag. 1(1), 10–19 (2009) Sivak, M., Schoettle, B.: Influence of current nondrivers on the amount of travel and trip patterns with self-driving vehicles. The University of Michigan, Transportation Research Institute, Ann Arbor (2015) Spieser, K., Treleaven, K., Zhang, R., Frazzoli, E., Morton, D., Pavone, M.: Toward a systematic approach to the design and evaluation of automated mobility-on-demand systems: a case study in Singapore. In: Meyer, G., Beiker, S. (eds.) Road Vehicle Automation, pp. 229–245. Springer, Berlin (2014) Vicroads: Traffic Monitor 2012–13. VicRoads (2015) Wadud, Z., MacKenzie, D., Leiby, P.: Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles. Transp. Res. Part A Policy Pract. 86, 1–18 (2016)