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Security incident management in ground transportation system using UAVs

Publication Type : Conference Paper

Publisher : 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015

Source : 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, Institute of Electrical and Electronics Engineers Inc. (2015)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965050369&partnerID=40&md5=a4978d573a05b1f1f17a13bdddea721e

ISBN : 9781479978489

Keywords : Airborne Surveillance, ARM microcontrollers, Artificial intelligence, Crashworthiness, Graph theory, Ground transportation systems, Highway administration, Intelligent systems, intelligent transportation systems, Intelligent vehicle highway systems, Maneuverability, Microcontrollers, Road traffic monitoring, Roads and streets, Transportation, Transportation management systems, Transportation system, Unmanned aerial systems, Unmanned aerial vehicles (UAV)

Campus : Bengaluru

School : School of Engineering

Department : Computer Science, Electronics and Communication

Year : 2015

Abstract : pUnmanned Aerial Vehicles (UAVs) or Unmanned Aerial Systems (UASs), known for their easy maneuvering, greater flexibility and low costs, are promised to be an excellent aerial sensor for transportation applications. It could be an effective airborne surveillance system for rapid deployment with low cost. UAVs are very flexible and fast compared to the normal road traffic monitoring techniques. In addition, security situations can also impact the entire transportation management system. This paper presents a security incident management in ground transportation system using UAVs. We believe that this provides a strong backbone for researches in the field of intelligent transportation systems (ITS). In this paper, we have presented the analysis of few prominent security situations occurring between three transportation systems (road, train and sea). Using a graph model, various indications and informations about shortest path and other security situations are sent to respective control centres. The model was validated using ARM microcontroller simulation using Keil μvision and Proteus tools. © 2015 IEEE./p

Cite this Research Publication : Ra Reshma, Ramesh, T. Ka, and P. Sathish Kumar, “Security incident management in ground transportation system using UAVs”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.

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