Intelligent Transportation Cyber-Physical System: On Crowd through Event Detection for Public Urban Transportation

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.