Significance of artificial intelligence in the development of sustainable transportation

Abstract

The idea of Sustainable development has gained more attention since it involves satisfying needs without degrading the environment. Sustainable development has many targets across various subjects in which Sustainable Transportation is one of the cores to sustainable development.  The objective of sustainable transportation is to achieve social, environmental and economic growth with universal access, enhanced safety, improved resilience and infrastructure, reduction of emission in greenhouse gases, traffic management, freight management by different modes of transportation. It is vital and interlinked across several sustainable development goals (SDGs) and targets in the 2030 Agenda proposed by United Nations. There is a need to improve sustainable transportation, which can be achieved through artificial intelligence as it helps the sector to increase public transport, traffic safety, reduce accidents and improve traffic management, decrease carbon emissions, rise reliability and also leverage economic growth through methods like Fuzzy logic (FL), Artificial Neural Networks, Ant Colony Optimiser, Genetic algorithms, Swarm optimization algorithm, Simulated Annealing. It is also supported by Big Data Analysis, Internet of Things, Robotic process Automation. This paper addresses the overview of the importance of sustainable transportation along with the role of artificial intelligence in different modes of transportation, current level of sustainability across globe, progress in transport system and conclude with challenges and future improvements that can be made towards the goal.