Intelligent Transportation Cyber-Physical System: on Crowd through Event Detection for Public Urban Transportation
Sivarama Krishnan Rajendar1, Dhivya Rathinasamy2, Vishnu Kumar Kaliappan3

1Sivarama Krishnan Rajendar, Assistant Professor, KPR Institute of Engineering and Technology, Arasur (Tamil Nadu), India.
2Dhivya Rathinasamy, Assistant Professor, Dr. Mahalingam College of Engineering and Technology, Pollachi (Tamil Nadu), India.
3Vishnu Kumar Kaliappan, Associate Professor, KPR Institute of Engineering and Technology, Arasur (Tamil Nadu), India.
Manuscript received on 15 October 2019 | Revised Manuscript received on 24 October 2019 | Manuscript Published on 02 November 2019 | PP: 2375-2379 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B12710982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1271.0982S1119
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Abstract: Intelligent Transportation System (ITS) has become the popular area of research since the last decade. Knowing the crowd density in every region of the city is of high importance for an ITS in delivering adequate transport facility to the public. Further, the occurrence of social events draw public crowd occasionally, in any specific region of the city. Thus, the combination of both the identification of crowd density and the social event detection lays a path to an interesting research in ITS. Having said, this paper proposes a methodology for the effective design of ITS with a primary focus on crowd sensing. The paper also presents a taxonomy of methods used to gather crowd density information through various sources. Furthermore, the research works that focused on event detection and crowd analysis are studied. Finally, the open challenges are identified and outlined which are promising research directions for ITS.
Keywords: Urban Transportation Intelligent Physical System  Analysis.
Scope of the Article: Cyber Physical Systems (CPS)