Performance impact of autonomous trucks on flexible pavements: an evaluation framework and case studies

References

• Ackerman, E., 4 Jan 2021. This year autonomous trucks will take to the roads with no one on board. IEEE Spectrum. https://spectrum.ieee.org/transportation/self-driving/this-year-autonomous-trucks-will-take-to-the-road-with-no-one-on-board.
   Web of Science ®Google Scholar
• Banker, S., 19 Apr 2022. The ‘race’ to win the autonomous truck market. Forbes. Available from: https://www.forbes.com/sites/stevebanker/2022/04/19/the-race-to-win-the-autonomous-truck-market/?sh=225328f6f72b.
   Google Scholar
• Birgisson, B., et al., 2020. Evaluate potential impacts, benefits, impediments, and solutions of automated trucks and truck platooning on Texas Highway Infrastructure. Texas: Dept. of Transportation. Research and Technology Implementation Office, Technical Report (No. FHWA/TX-21/0-6984-R1, 0-6984-R1)
   Google Scholar
• Blab, R., and Litzka, J., Jun 1995. Measurements of the lateral distribution of heavy vehicles and its effects on the design of road pavements. In: Proceedings of the international symposium on heavy vehicle weights and dimensions, road transport technology. University of Michigan, 389–395.
   Google Scholar
• Buiter, R., et al., 1989. Effects of transverse distribution of heavy vehicles on thickness design of full-depth asphalt pavements. Transportation Research Record, 1227, 66–74.
   Google Scholar
• Chen, F., et al., 2019. Assess the impacts of different autonomous trucks’ lateral control modes on asphalt pavement performance. Transportation Research Part C: Emerging Technologies, 103, 17–29.
   Web of Science ®Google Scholar
• Chottani, A., et al., 2018. Distraction or disruption? Autonomous trucks gain ground in US logistics. McKinsey & Company, 20. Available: https://www.mckinsey.com/~/media/McKinsey/Industries/Travel%20Transport%20and%20Logistics/Our%20Insights/Distraction%20or%20disruption%20Autonomous%20trucks%20gain%20ground%20in%20US%20logistics/Distractionor-disruption-Autonomous-trucks-gain-ground-in-US-logistics-final.pdf
   Google Scholar
• Epps, J.A., et al., 2002. Recommended performance-related specification for hot-mix asphalt construction: results of the Wes Track project. Washington, DC: Transportation Research Board, NCHRP Report 455.
   Google Scholar
• Fagnant, D.J., and Kockelman, K., 2015. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181.
   Web of Science ®Google Scholar
• Fitzpatrick, D., Cordahi, G., O'Rourke, L., Ross, C., Kumar, A. and Bevly, D., 2017. Challenges to CV and AV applications in truck freight operations (No. NCHRP Project 20-102 (03)).
   Google Scholar
• Forrest, A., and Konca, M., 2007. Autonomous cars and society. Worcester Polytechnic Institute, 15, p. 23.
   Google Scholar
• Georgouli, K., and Plati, C., 2022. Autonomous trucks’(ATs) lateral distribution and asphalt pavement performance. International Journal of Pavement Engineering, 1–22. https://doi.org/10.1080/10298436.2022.2046274.
   Web of Science ®Google Scholar
• Georgouli, K., Plati, C., and Loizos, A., 2021. Autonomous vehicles wheel wander: structural impact on flexible pavements. Journal of Traffic and Transportation Engineering (English Edition), 8 (3), 388–398.
   Google Scholar
• Greer, L., et al., 2018. Intelligent transportation systems benefits, costs, and lessons learned: 2018 update report. United States. Dept. of Transportation. ITS Joint Program Office, No. FHWA-JPO-18-641.
   Google Scholar
• Gungor, O.E., 2018. A literature review on wheel wander. Springfield: Illinois Asphalt Pavement Association.
   Google Scholar
• Gungor, O.E., and Al-Qadi, I.L., 2020. All for one: centralized optimization of truck platoons to improve roadway infrastructure sustainability. Transportation Research Part C: Emerging Technologies, 114, 84–98.
   Web of Science ®Google Scholar
• Huang, K., Onifade, I., and Birgisson, B., 2021. Calibration of mechanics-based pavement predictive framework for top-down cracking performance of flexible pavement considering wheel wander effect. Construction and Building Materials, 306, 124792.
   Web of Science ®Google Scholar
• Laing, K., 9 Jan 2022. Can a self-driving 40-ton truck be safe? Developers say yes. Bloomberg, US Edition. Available from: https://www.bloomberg.com/news/articles/2022-01-09/robot-trucks-get-u-s-tests-raising-self-driving-safety-stakes.
   Google Scholar
• Litman, T., 11–15 Jan 2015. Autonomous vehicle implementation predictions: implications for transport planning. In: Transportation Research Board 94th Annual Meeting, Washington, DC.
   Google Scholar
• Litman, T., 2017. Autonomous vehicle implementation predictions. Victoria, BC, Canada: Victoria Transport Policy Institute.
   Google Scholar
• Liu, Y., et al., 2019, April. A systematic review: road infrastructure requirement for connected and autonomous vehicles (CAVs). Journal of Physics: Conference Series, 1187 (4), 042073.
   Google Scholar
• Lu, D., Li, Z., and Huang, D., Jun 2017. Platooning as a service of autonomous vehicles. In: 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), IEEE, 1–6.
   Google Scholar
• Lytton, R.L., et al., 2010. Models for predicting reflection cracking of hot-mix asphalt overlays, No. Project 01-41.
   Google Scholar
• Mallick, R.B., and El-Korchi, T., 2022. Pavement engineering: principles and practice. New York: CRC Press.
   Google Scholar
• Mikami, M., and Yoshino, H., 2019. Field trial on 5G low latency radio communication system towards application to truck platooning. Ieice Transactions on Communications, 102 (8), 1447–1457.
   Google Scholar
• National Academies of Sciences, Engineering, and Medicine, 2020. Reducing fuel consumption and greenhouse Gas emissions of medium- and heavy-duty vehicles, phase Two: final report. Washington, DC: The National Academies Press. doi:10.17226/25542.
   Google Scholar
• Noorvand, H., Karnati, G., and Underwood, B.S., 2017. Autonomous vehicles: assessment of the implications of truck positioning on flexible pavement performance and design. Transportation Research Record, 2640 (1), 21–28.
   Google Scholar
• Rainie, L., et al., 2022. AI and human enhancement: Americans’ openness is tempered by a range of concerns. Pew Research Center: Internet, Science & Tech. Available from: https://www.pewresearch.org/internet/2022/03/17/ai-and-human-enhancement-americans-openness-is-tempered-by-a-range-of-concerns/?mod=djemCIO.
   Google Scholar
• Rana, M.M., and Hossain, K., 2022. Simulation of autonomous truck for minimizing asphalt pavement distresses. Road Materials and Pavement Design, 23 (6), 1266–1286.
   Web of Science ®Google Scholar
• Randall, J.L., 2012. Traffic recorder instruction manual. TX: Texas Department of Transportation. Available from: http://onlinemanuals.txdot.gov/txdotmanuals/tri/tri.pdf.
   Google Scholar
• Research and Markets, 2022. Autonomous trucking market by infrastructure, trucking type and business model 2022–2027. ResearchandMarkets.com Report ID 5403245.
   Google Scholar
• SAE International, 2018. Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. SAE International, 4970 (724), 1–5.
   Google Scholar
• Schoettle, B., 2017. Sensor fusion: A comparison of sensing capabilities of human drivers and highly automated vehicles. Ann Arbor, MI: University of Michigan.
   Google Scholar
• Shepardson, D., 21 Mar 2018. U.S. spending plan include $100 million for autonomous cars research, testing. Reuters. Available from: https://www.reuters.com/article/us-autos-selfdriving-congress-idUSKBN1GY074.
   Google Scholar
• Short, J., and Murray, D., 2016. Identifying autonomous vehicle technology impacts on the trucking industry.
   Google Scholar
• Siddharthan, R.V., et al., 2017. Investigation of impact of wheel wander on pavement performance. Road Materials and Pavement Design, 18 (2), 390–407.
   Web of Science ®Google Scholar
• Slowik, P., and Sharpe, B., 2018, March. Automation in the long haul: challenges and opportunities of autonomous heavy duty trucking in the United States. The International Council of Clean Transportation, (online) Working Paper 2018–06, 1–30. Available at: https://theicct.org/sites/default/files/publications/Automation_longhaul_WorkingPaper-06_20180328.pdf.
   Google Scholar
• Song, M., Chen, F., and Ma, X., 2021. Organization of autonomous truck platoon considering energy saving and pavement fatigue. Transportation Research Part D: Transport and Environment, 90, 102667.
   Web of Science ®Google Scholar
• Sun, X., and Yin, Y., 2019. Behaviorally stable vehicle platooning for energy savings. Transportation Research Part C: Emerging Technologies, 99, 37–52.
   Web of Science ®Google Scholar
• TuSimple, 2022. Official website. https://www.tusimple.com/technology/ [Accessed 1 Nov 2022].
   Google Scholar
• Vahidi, A., and Sciarretta, A., 2018. Energy saving potentials of connected and automated vehicles. Transportation Research Part C: Emerging Technologies, 95, 822–843.
   Web of Science ®Google Scholar
• Weisser, H., 1998. Autonomous driving on vehicle test tracks: overview, motivation, and concept. In Proceedings of the 1998 IEEE International Conference on Intelligent Vehicles, Vol. 2.
   Google Scholar
• Witczak, M. W., Andrei, D., and Houston, W. N., 2004. Guide for mechanistic-empirical design of new and rehabilitated pavement structures. Transportation Research Board of the National Research Council, 1–91.
   Google Scholar
• Yeganeh, A., Vandoren, B., and Pirdavani, A., 2022. Impacts of load distribution and lane width on pavement rutting performance for automated vehicles. International Journal of Pavement Engineering, 23 (12), 4125–4135.
   Web of Science ®Google Scholar
• Zhou, F., et al., 2019. Optimizing the lateral wandering of automated vehicles to improve roadway safety and pavement life. College Station: Texas A&M Transportation Institute.
   Google Scholar