Environmental Impact Assessment of Autonomous Transportation Systems

The transportation industry has led efforts to fight climate change and reduce air pollution. Autonomous electric vehicles (A-EVs) that use artificial intelligence, next-generation batteries, etc., are predicted to replace conventional internal combustion engine vehicles (ICEVs) and electric vehicles (EVs) in the coming years. In this study, we performed a life cycle assessment to analyze A-EVs and compare their impacts with those from EV and ICEV systems. The scope of the analysis consists of the manufacturing and use phases, and a functional unit of 150,000 miles & BULL;passenger was chosen for the assessment. Our results on the impacts from the manufacturing phase of the analyzed systems show that the A-EV systems have higher impacts than other transportation systems in the majority of the impacts categories analyzed (e.g., global warming potential, ozone depletion, human toxicity-cancer) and, on average, EV systems were found to be the slightly more environmentally friendly than ICEV systems. The high impacts in A-EV are due to additional components such as cameras, sonar, and radar. In comparing the impacts from the use phase, we also analyzed the impact of automation and found that the use phase impacts of A-EVs outperform EV and ICEV in many aspects, including global warming potential, acidification, and smog formation. To interpret the results better, we also investigated the impacts of electricity grids on the use phase impact of alternative transportation options for three representative countries with different combinations of renewable and conventional primary energy resources such as hydroelectric, nuclear, and coal. The results revealed that A-EVs used in regions that have hydropower-based electric mix become the most environmentally friendly transportation option than others.

Automated summary

The transportation industry is using autonomous electric vehicles (A-EVs) to combat climate change and reduce air pollution. A-EVs, equipped with artificial intelligence and next-generation batteries, are expected to replace traditional internal combustion engine vehicles and electric vehicles (EVs) in the near future. A life cycle assessment was performed to analyze the impacts of A-EVs compared to EV and ICEV systems. The study found that A-EVs have higher impacts in the manufacturing phase due to additional components, while in the use phase, A-EVs outperform EV and ICEV systems in terms of global warming potential, acidification, and smog formation. The use of A-EVs in regions with hydropower-based electricity grids was identified as the most environmentally friendly option.