Modelling and Simulation of Transport Collision Probability Recognition Algorithm for Traffic Safety

2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2019): Conference Proceedings 2019
Anna Beinaroviča, Mihails Gorobecs, Ivars Alps

The main objective of the transport operations is a safe transportation process. There are various methods for gaining this task. This paper is a part of a big research, aimed at the developed of autonomous electric drive, and discusses one of the aims of the research – collision probability calculation of transport vehicles team moving in the one area. The goal of the current research is to develop a computer model, which would help to detect the possible crossing point of transport vehicles team parties, moving in one area, and calculate the collision probability. This information can be used further for the collision probability minimization by use of the appropriate actions. Previously authors have developed and described algorithms for collision probability minimization tasks. Proposed algorithm was implemented in the computer model. Computer simulations prove the workability and advantages of the developed model.

Keywords
Transport safety; collision probability; possible crossing point; anti-collision system; autonomous vehicle; vehicles team
DOI
10.1109/RTUCON48111.2019.8982372
Hyperlink
https://ieeexplore.ieee.org/document/8982372/

Beinaroviča, A., Gorobecs, M., Alps, I. Modelling and Simulation of Transport Collision Probability Recognition Algorithm for Traffic Safety. In: 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2019): Conference Proceedings, Latvia, Riga, 7-9 October, 2019. Piscataway: IEEE, 2019, pp.135-141. ISBN 978-1-7281-3943-2. e-ISBN 978-1-7281-3942-5. Available from: doi:10.1109/RTUCON48111.2019.8982372

Publication language
English (en)