Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 32, Pages: 1-8
Aditi Zear, Pradeep Kumar Singh* and Yashwant Singh
Department of Computer Science and Engineering, Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, India; [email protected]
*Author for correspondence
Pradeep Kumar Singh
Department of Computer Science and Engineering
Objectives: Increase in traffic density in the world results in more and more congestion, air pollution and accidents. Hence Intelligent Transport System (ITS) has been emerged as a solution to various transport related issues. The aim of this research paper is to conduct systematic analysis on ITS. Methods/Statistical Analysis: ITS is defined as the set of applications which are advance and aim to apply intelligent information and communication technologies in order to provide services for transport and traffic management. ITS have combined various technologies such as Data collection, Communication, Data Mining, Machine Learning, Artificial Intelligence and Database Management. By combining these information technologies ITS have provided various applications such as Traffic control, Fault detection systems, In-vehicle information and navigation systems and driver assistance systems. Findings: We have considered the most relevant published work from 2008 onward relative to our objective from different popular digital libraries. We have summarized this work into issues in ITS and techniques used to solve them. Application/Improvements: It has been found that by combining various new technologies such as agent based computing, cloud computing, VANETS etc. ITS have become very efficient to solving transport related issues in smart cities.
Keywords: Agent Based Computing, Intelligent Transport System, Parallel Transportation and Management System, Vehicular Ad-hoc Networks, Vehicular Cloud Computing
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