Anderson, J. M., Kalra, N., Stanley, K. D., Sorensen, P., Samaras, C., & Oluwatola, O. A. (2016). Autonomous Vehicle Technology: A Guide for Policymakers. Autonomous Vehicle Technology: A Guide for Policymakers. https://doi.org/10.7249/RR443-2 Aria, E., Olstam, J., & Schwietering, C. (2016). Investigation of Automated Vehicle Effects on Driver’s Behavior and Traffic Performance. Transportation Research Procedia, 15, 761–770. https://doi.org/10.1016/J.TRPRO.2016.06.063 Bagloee, S. A., Tavana, M., Asadi, M., & Oliver, T. (2016). Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. Journal of Modern Transportation, 24(4), 284–303. https://doi.org/10.1007/S40534-016-0117-3/FIGURES/5 Barkenbus, J. N. (2010). Eco-driving: An overlooked climate change initiative. Energy Policy, 38(2), 762–769. https://doi.org/10.1016/J.ENPOL.2009.10.021 Barykin, S. Y., Bochkarev, A. A., Kalinina, O. V., & Yadykin, V. K. (2020). Concept for a supply chain digital twin. International Journal of Mathematical, Engineering and Management Sciences, 5(6), 1498–1515. https://doi.org/10.33889/IJMEMS.2020.5.6.111 Bechtsis, D., Tsolakis, N., Vlachos, D., & Singh Srai, J. (2018). Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks. https://doi.org/10.1016/j.jclepro.2018.01.173 Betancourt, R. R., Cortiñas, M., Elorz, M., & Mugica, J. M. (2007). The demand for and the supply of distribution services: A basis for the analysis of customer satisfaction in retailing. Quantitative Marketing and Economics, 5(3), 293–312. https://doi.org/10.1007/S11129-007-9027-3/TABLES/3 Bruna, J., #1, P., Gressler, F., & Seleme, R. (2019). Supply Chain 4.0: Autonomous Vehicles and Equipment to Meet Demand. Int. J Sup. Chain. Mgt, 8(4), 33. http://excelingtech.co.uk/ Discret-Event System Simulation | Request PDF. (n.d.). Retrieved March 6, 2024, from https://www.researchgate.net/publication/234125560_Discret-Event_System_Simulation Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181. https://doi.org/10.1016/J.TRA.2015.04.003 Fao. (2013). Food wastage footprint: Impacts on natural resources - Summary report. www.fao.org/publications Friedrich, B. (2016). The effect of autonomous vehicles on traffic. Autonomous Driving: Technical, Legal and Social Aspects, 317–334. https://doi.org/10.1007/978-3-662-48847-8_16/FIGURES/11 Gonder, J., & Wood, E. (2014). Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt: Preprint. www.nrel.gov/publications. Greenhouse Gases Equivalencies Calculator - Calculations and References | US EPA. (n.d.). Retrieved February 27, 2024, from https://www.epa.gov/energy/greenhouse-gases-equivalencies-calculator-calculations-and-references Gružauskas, V., Baskutis, S., & Navickas, V. (2018). Minimizing the trade-off between sustainability and cost effective performance by using autonomous vehicles. Journal of Cleaner Production, 184, 709–717. https://doi.org/10.1016/J.JCLEPRO.2018.02.302 International, K. (2020). Assessing the preparedness of 30 countries and jurisdictions in the race for autonomous vehicles 2020 Autonomous Vehi cl es Readi ness I ndex. Leitão, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., & Colombo, A. W. (2016). Smart Agents in Industrial Cyber–Physical Systems. Proceedings of the IEEE, 104(5), 1086–1101. https://doi.org/10.1109/JPROC.2016.2521931 Marchant, G., & Lindor, R. (2012). The Coming Collision Between Autonomous Vehicles and the Liability System. Santa Clara Law Review, 52(4). https://digitalcommons.law.scu.edu/lawreview/vol52/iss4/6 Nyamah, E. Y., Jiang, Y., Feng, Y., & Enchill, E. (2017). Agri-food supply chain performance: an empirical impact of risk. Management Decision, 55(5), 872–891. https://doi.org/10.1108/MD-01-2016-0049 Onwude, D. I., Chen, G., Eke-Emezie, N., Kabutey, A., Khaled, A. Y., & Sturm, B. (2020). Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce. Processes 2020, Vol. 8, Page 1431, 8(11), 1431. https://doi.org/10.3390/PR8111431 Operational Costs of Trucking. (n.d.). Retrieved March 30, 2024, from https://truckingresearch.org/atri-research/operational-costs-of-trucking/ Pal, A., & Kant, K. (2016). Smartporter: A Combined Perishable Food and People Transport Architecture in Smart Urban Areas. 2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016. https://doi.org/10.1109/SMARTCOMP.2016.7501716 Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514–522. https://doi.org/10.1016/J.IJPE.2011.09.001 Schäfer, A., Heywood, J. B., Jacoby, H. D., & Waitz, I. A. (2018). Transportation in a Climate-Constrained World. Transportation in a Climate-Constrained World. https://doi.org/10.7551/MITPRESS/7985.001.0001 Schrank, D. (2012). TTI’s 2012 URBAN MOBILITY REPORT. http://mobility.tamu.edu SIM yogurt factory | anyLogistix Help. (n.d.). Retrieved February 25, 2024, from https://anylogistix.help/examples/sim-yoghurt-factory.html Supply Chain Digital Twins – anyLogistix Supply Chain Optimization Software. (n.d.). Retrieved February 26, 2024, from https://www.anylogistix.com/features/supply-chain-digital-twins/ Supply Chain Sustainability: a dairy industry case study – anyLogistix Supply Chain Optimization Software. (n.d.). Retrieved February 26, 2024, from https://www.anylogistix.com/resources/blog/supply-chain-sustainability-a-dairy-industry-case-study/ Talebpour, A., & Mahmassani, H. S. (2016). Influence of connected and autonomous vehicles on traffic flow stability and throughput. Transportation Research Part C: Emerging Technologies, 71, 143–163. https://doi.org/10.1016/J.TRC.2016.07.007 Teoh, E. R., & Kidd, D. G. (2017). Rage against the machine? Google’s self-driving cars versus human drivers. Journal of Safety Research, 63, 57–60. https://doi.org/10.1016/J.JSR.2017.08.008 The Avoidable Crisis of Food Waste. (n.d.). Retrieved February 26, 2024, from https://secondharvest.ca/resources/research/avoidable-crisis Trienekens, J., & Zuurbier, P. (2008). Quality and safety standards in the food industry, developments and challenges. International Journal of Production Economics, 113(1), 107–122. https://doi.org/10.1016/J.IJPE.2007.02.050 UNEP Food Waste Index Report 2021 | UNEP - UN Environment Programme. (n.d.). Retrieved March 26, 2024, from https://www.unep.org/resources/report/unep-food-waste-index-report-2021 Wadud, Z., MacKenzie, D., & Leiby, P. (2016). Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles. Transportation Research Part A: Policy and Practice, 86, 1–18. https://doi.org/10.1016/J.TRA.2015.12.001 Wu, C., Zhao, G., & Ou, B. (2011). A fuel economy optimization system with applications in vehicles with human drivers and autonomous vehicles. Transportation Research Part D: Transport and Environment, 16(7), 515–524. https://doi.org/10.1016/J.TRD.2011.06.002 Yadav, V. S., Singh, A. R., Gunasekaran, A., Raut, R. D., & Narkhede, B. E. (2022). A systematic literature review of the agro-food supply chain: Challenges, network design, and performance measurement perspectives. Sustainable Production and Consumption, 29, 685–704. https://doi.org/10.1016/J.SPC.2021.11.019 Zhao, J., & Lee, J. Y. (2023). Effect of Connected and Autonomous Vehicles on Supply Chain Performance. Transportation Research Record, 2677(3), 402–424. https://doi.org/10.1177/03611981221115425/FORMAT/EPUB