Computational Technology Resources - CCP

Keywords: safety, railway crash prevention, control algorithms, unmanned aerial vehicle, microcontrollers.

Summary

This paper proposes solutions for applying embedded devices, unmanned aerial vehicles (UAV) and control algorithms to minimize the risk of train collision with different obstacles on the tracks.

With the increase in the railway transport flow, the number of collisions is growing. The obstacles on the tracks are caused by different weather, human and other factors, but the negative effect of collisions with such obstacles and consequences is definitely proved.

Thus, the main goal of the research is to investigate and develop the algorithms for railway transport control and detection of obstacles using UAV on the way of the train. The research is based on previous scientific and technical results. It includes the analysis of existing railway transport safety, satellite navigation and observation systems, the development of the improved train anti-collision system, including mathematical models, a multiple criteria risk assessment function, algorithms of object detection for UAV, simulation models and prototypes for anti-collision tasks.

purchase the full-text of this paper (price £22)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £85 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 110 PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 268 Control Algorithms of Railway Crash Prevention for Unmanned Aerial Vehicles A. Levchenkov and M. Gorobetz Institute of Industrial Electronics and Electrical Engineering, Institute of Railway Transport, Riga Technical University, Latvia doi:10.4203/ccp.110.268 purchase the full-text of this paper Full Bibliographic Reference for this paper A. Levchenkov, M. Gorobetz, "Control Algorithms of Railway Crash Prevention for Unmanned Aerial Vehicles", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 268, 2016. doi:10.4203/ccp.110.268 Keywords: safety, railway crash prevention, control algorithms, unmanned aerial vehicle, microcontrollers. Summary This paper proposes solutions for applying embedded devices, unmanned aerial vehicles (UAV) and control algorithms to minimize the risk of train collision with different obstacles on the tracks. With the increase in the railway transport flow, the number of collisions is growing. The obstacles on the tracks are caused by different weather, human and other factors, but the negative effect of collisions with such obstacles and consequences is definitely proved. Thus, the main goal of the research is to investigate and develop the algorithms for railway transport control and detection of obstacles using UAV on the way of the train. The research is based on previous scientific and technical results. It includes the analysis of existing railway transport safety, satellite navigation and observation systems, the development of the improved train anti-collision system, including mathematical models, a multiple criteria risk assessment function, algorithms of object detection for UAV, simulation models and prototypes for anti-collision tasks. purchase the full-text of this paper (price £22) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £85 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions