Intelligent Transportation Systems: An Overview of Current Trends and Limitations

Abstract

Artificial intelligence (AI) is developing at a rapid rate, opening up previously unimaginable prospects to improve the performance of various industries and enterprises, including the transportation sector. AI is being used in the transportation sector to address issues such as rising travel demand, CO2 emissions, safety problems, and environmental damage. . In this digital age, it is more feasible to handle these challenges in a more effective and efficient manner due to the abundance of quantitative and qualitative data. A thorough understanding of the interactions between AI and data on the one hand, and the characteristics and factors of the transportation system on the other, is necessary for the successful use of AI. This article is a compendium of many problems affecting the transportation sector that are categorised as Intelligent Transportation Systems problems. Some of the sub-systems from Intelligent Transportation Systems that are taken into consideration are related to Traffic Management, Public Transport, Safety Management, and Manufacturing & Logistics. Finally, the overview discusses the limitations of AI applications in transportation. Keywords- Artificial Intelligence, Machine Learning, Intelligent transportation systems, Transport management systems, Traffic management, Public transport, Safety management, Manufacturing & Logistics