A Forecast of the Automotive Industry and Its Improvements in Environmental Sustainability and Optimization of Vehicle Design

Abstract

This research is to provide a comprehensive forecast of the automotive industry, with a primary focus on advancements in environmental sustainability and vehicle design optimization. As concerns about climate change and fossil fuel depletion continue to escalate, there is a pressing need to assess the potential benefits of alternative transportation options. Hybrid vehicles and those with reduced engine displacement and cylinders have garnered considerable attention due to their ability to mitigate greenhouse gas emissions and reduce reliance on fossil fuels. In this study, a diverse range of data science techniques, including prediction models, linear regression, and time series analysis, are employed to forecast the industry's trajectory. The investigation leverages datasets sourced from the Environmental Protection Agency (EPA), encompassing information on cars in the United States from 2013 to 2022, with a specific focus on CO2 emissions as the target output to be reduced. By analyzing these datasets, the research aims to evaluate the strength of smaller engine sizes, reduced engine displacement, air aspiration methods, and fewer cylinders on various critical parameters, including emissions, miles per gallon (mpg), and overall efficiency. Utilizing data science techniques, prediction models, and time series analysis, the research seeks to uncover trends, patterns, and insights into the impact of sustainable automotive technologies on emissions reduction and fuel efficiency. Through a thorough examination of the data, the study aims to provide robust evidence supporting the benefits of hybrid vehicles and vehicles with optimized engine designs in promoting environmental sustainability. A deeper understanding of the relationship between engine design parameters and environmental impact will enable the automotive industry to steer toward more eco-friendly practices. Ultimately, the results will contribute to the formulation of informed decisions and policies that promote greener transportation options, fostering a positive impact on climate change mitigation and reduced reliance on fossil fuels.