A Bayesian regression analysis of truck drivers’ use of cooperative adaptive cruise control (CACC) for platooning on California highways

References

• Arnaout, G. M., & Arnaout, J. P. (2014). Exploring the effects of cooperative adaptive cruise control on highway traffic flow using microscopic traffic simulation. Transportation Planning and Technology, 37(2), 186–199. https://doi.org/10.1080/03081060.2013.870791
   Web of Science ®Google Scholar
• Bürkner, P. (2018). Advanced Bayesian multilevel modeling with the R package BRMS. The R Journal, 10(1), 395–411. https://doi.org/10.32614/RJ-2018-017
   Google Scholar
• Bergenhem, C., Petterson, H., Shladover, S., Coelingh, E., Englund, C., & Tsugawa, S. (2012). Overview of platooning systems. Proceedings of the 19th ITS World Congress, Vienna, Austria.
   Google Scholar
• Browand, F., McArthur, J., & Radovich, C. (2004). Fuel saving achieved in the field test of two tandem trucks. https://escholarship.org/uc/item/29v570mm
   Google Scholar
• Castritius, S. M., Dietz, C. J., Schubert, P., Moeller, J., Morvilius, S., Hammer, S., … Haas, C. T. (2020). Truck platooning under real traffic conditions: First insights on behavioral adaptations and gap preference of professional drivers. Human Factors, 63(6), 1033–1045.
   PubMed Web of Science ®Google Scholar
• Castritius, S.-M., Hecht, H., Möller, J., Dietz, C. J., Schubert, P., Bernhard, C., Morvilius, S., Haas, C. T., & Hammer, S. (2020). Acceptance of truck platooning by professional drivers on German highways. A mixed methods approach. Applied Ergonomics, 85, 103042. https://doi.org/10.1016/j.apergo.2019.103042
   PubMed Web of Science ®Google Scholar
• de Winter, J. C. F., Gorter, C. M., Schakel, W. J., & van Arem, B. (2017). Pleasure in using adaptive cruise control: A questionnaire study in the Netherlands. Traffic Injury Prevention, 18(2), 216–224.
   PubMed Web of Science ®Google Scholar
• Dey, K. C., Yan, L., Wang, X., Wang, Y., Shen, H., Chowdhury, M., Yu, L., Qiu, C., & Soundararaj, V. (2016). A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise control (CACC). IEEE Transactions on Intelligent Transportation Systems, 17(2), 491–509. https://doi.org/10.1109/TITS.2015.2483063
   Web of Science ®Google Scholar
• Dickie, D. A., & Boyle, L. N. (2009). Drivers' understanding of adaptive cruise control limitations [Paper presentation]. Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 53, no. 23, pp. 1806–1810), Los Angeles, CA. https://doi.org/10.1177/154193120905302313
   Google Scholar
• Dinno, A. (2017). dunn.test: Dunn’s test of multiple comparison using rank sums. R package version 1.3.5. https://CARN.R-project.org/package=dunn.test
   Google Scholar
• Hoffman, M. D., & Gelman, A. (2014). The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research, 15(1), 1593–1623.
   Google Scholar
• Jia, Z., Chen, C., Coifman, B., & Varaiya, P. (2001). The PeMS algorithms for accurate, real-time estimates of g-factors and speeds from single-loop detectors. In ITSC 2001. 2001 IEEE Intelligent Transportation Systems Conference. Proceedings (Cat. No. 01TH8585) (pp. 536–541). IEEE.
   Google Scholar
• Kishore Bhoopalam, A., van den Berg, R., Agatz, N., & Chorus, C. (2021). The long road to automated trucking: Insights from driver focus groups. Available at SSRN: https://ssrn.com/abstract=3779469 or http://dx.doi.org/10.2139/ssrn.3779469
   Google Scholar
• Larsson, A. F. (2012). Driver usage and understanding of adaptive cruise control. Applied Ergonomics, 43(3), 501–506. https://doi.org/10.1016/j.apergo.2011.08.005
   PubMed Web of Science ®Google Scholar
• Lin, T. W., Hwang, S. L., & Green, P. A. (2009). Effects of time-gap settings of adaptive cruise control (ACC) on driving performance and subjective acceptance in a bus driving simulator. Safety Science, 47(5), 620–625. https://doi.org/10.1016/j.ssci.2008.08.004
   Web of Science ®Google Scholar
• Liu, H., Kan, X., Shladover, S. E., Lu, X. Y., & Ferlis, R. E. (2018). Impact of cooperative adaptive cruise control on multilane freeway merge capacity. Journal of Intelligent Transportation Systems, 22(3), 263–275. https://doi.org/10.1080/15472450.2018.1438275
   Web of Science ®Google Scholar
• Lunge, A., & Borkar, P. (2015). A review on improving traffic flow using cooperative adaptive cruise control system [Paper presentation]. Electronics and Communication Systems (ICECS), 2015 2nd International Conference, Coimbatore, India (pp. 1474–1479).
   Google Scholar
• Marsden, G., McDonald, M., & Brackstone, M. (2001). Towards an understanding of adaptive cruise control. Transportation Research Part C: Emerging Technologies, 9(1), 33–51. https://doi.org/10.1016/S0968-090X(00)00022-X
   Web of Science ®Google Scholar
• McAuliffe, B., Lammert, M., Lu, X.-Y., Shladover, S., Surcel, M.-D., Kailas, A. (2018). Influences on energy savings of heavy trucks using cooperative adaptive cruise control (SAE Technical Paper 2018-01-1181). SAE International. https://doi.org/10.4271/2018-01-1181
   Google Scholar
• Neubauer, M., Schauer, O., & Schildorfer, W. (2019). A scenario-based investigation of truck platooning acceptance [Paper presentation]. International Conference on Applied Human Factors and Ergonomics, Washington D.C., USA (pp. 453–461).
   Google Scholar
• 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. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 54(24), 2033–2037. https://doi.org/10.1177/154193121005402403
   Google Scholar
• Pereira, M., Beggiato, M., & Petzoldt, T. (2015). Use of adaptive cruise control functions on motorways and urban roads: Changes over time in an on-road study. Applied Ergonomics, 50, 105–112.
   PubMed Web of Science ®Google Scholar
• Ramezani, H., Shladover, S. E., Lu, X. Y., & Altan, O. D. (2018). Micro-simulation of truck platooning with cooperative adaptive cruise control: Model development and a case study. Transportation Research Record: Journal of the Transportation Research Board, 2672(19), 55–65. https://doi.org/10.1177/0361198118793257
   Web of Science ®Google Scholar
• Shladover, S. E., Nowakowski, C., Lu, X. Y., & Ferlis, R. (2015). Cooperative adaptive cruise control: Definitions and operating concepts. Transportation Research Record: Journal of the Transportation Research Board, 2489(1), 145–152. https://doi.org/10.3141/2489-17
   Google Scholar
• Strand, N., Nilsson, J., Karlsson, I. C. M., & Nilsson, L. (2011). Exploring end-user experiences: self-perceived notions on use of adaptive cruise control systems. IET Intelligent Transport Systems, 5(2), 134–140. https://doi.org/10.1049/iet-its.2010.0116
   Web of Science ®Google Scholar
• van Arem, B., van Driel, C. J., & Visser, R. (2006). The impact of cooperative adaptive cruise control on traffic-flow characteristics. IEEE Transactions on Intelligent Transportation Systems, 7(4), 429–436.
   Web of Science ®Google Scholar
• Vehtari, A., Gelman, A., & Gabry, J. (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27(5), 1413–1432. https://doi.org/10.1007/s11222-016-9696-4
   Web of Science ®Google Scholar
• Yang, S., Shladover, S. E., Lu, X. Y., Ramezani, H., Kailas, A., & Altan, O. D. (2018). A first investigation of truck drivers’ preferences and behaviors using a prototype cooperative adaptive cruise control system. Transportation Research Record: Journal of the Transportation Research Board, 2672(34), 39–48. https://doi.org/10.1177/0361198118788190
   Web of Science ®Google Scholar
• Zhang, Y., & Kaber, D. B. (2013). An empirical assessment of driver motivation and emotional states in perceived safety margins under varied driving conditions. Ergonomics, 56(2), 256–267.
   PubMed Web of Science ®Google Scholar