Metaheuristics for Machine Learning

10Autonomous Vehicle Optimization: Striking a Balance Between Cost-Effectiveness and Sustainability

Vamsidhar Talasila¹*, Sagi Venkata Lakshmi Narasimharaju¹, Neeli Veda Vyshnavi¹, Saketh Naga Sreenivas Kondaveeti¹, Garimella Surya Siva Teja¹ and Kiran Kumar Kaveti²

¹Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India

²Department of Computer Science and Engineering, Vignan’s Foundation for Science Technology and Research Deemed to be University, Vadlamudi, Guntur, India

Abstract

Transportation, energy use, and the environment are all projected to be significantly impacted by the mainstream deployment of autonomous vehicles (AVs). Even though AVs promise to minimize collisions, traffic, and pollution, they also spark questions about their affordability, sustainability, and societal effects. In this study, we offer a methodology for AV optimization that strikes a compromise between performance that is both cost-effective and sustainable. The suggested strategy minimizes trade-offs in sustainability and cost-effective effectiveness via offering adaptability, redundant operation, and adaptive capabilities for handling the logistic cluster. Analyses of the logistic network showed a 23% reduction in emissions of carbon dioxide by using the AV technique combined with consolidation facilities using actual information through interactions with experts in the food business. Due to the use of autonomous cars in the supply ...