Abstract
Intelligent transportation is indeed a prominent aspect of smart city development. Intelligent transportation targets to handle several issues by taking into consideration traffic or human mobility, sensory data, and geographical data generated in cities. It brings together the different concepts of urban sensing, data management and analytics along with various service providing mechanisms into a recurrent process for an unobtrusive and continuous improvement of an individual’s transit experience and operations of the city transport authority. In this paper, we first introduce the concept of an intelligent transportation system, along with discussion about the overall framework and key challenges with respect to the perspective of each step of the framework. Second, we classify the data acquisition methods. Third, summarize the typical methodologies needed in intelligent transportation systems for knowledge fusion across heterogeneous sensory data. Finally, we give an outlook on the future of intelligent transportation systems, with suggestion about a few prospective topics of research which have remained unexplored in the research community so far.
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Mandal, R., Mandal, A., Dutta, S., Yusuf Alam, M., Saha, S., Nandi, S. (2023). Framework of Intelligent Transportation System: A Survey. In: Basu, S., Kole, D.K., Maji, A.K., Plewczynski, D., Bhattacharjee, D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. Lecture Notes in Networks and Systems, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-19-0105-8_10
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