Innovative neuro-fuzzy system of smart transport infrastructure for road traffic safety

Building up Efficient and Sustainable Transport Infrastructure 2017

Beinarovica, Anna^1 ; Gorobetz, Mikhail^1 ; Levchenkov, Anatoly^1

Industrial Electronics and Electrical Engineering Institute, Riga Technical University, Azenes street 12-1, Riga

LV-1048, Latvia^1

关键词: Intelligent devices;    Intelligent infrastructures;    Multiple criteria;    Neural network and fuzzy logic;    Neuro-fuzzy algorithms;    Road traffic safety;    Safety improvement;    Transport infrastructure;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/236/1/012095/pdf
DOI  :  10.1088/1757-899X/236/1/012095

来源: IOP

【 摘 要 】

The proposed study describes applying of neural network and fuzzy logic in transport control for safety improvement by evaluation of accidents' risk by intelligent infrastructure devices. Risk evaluation is made by following multiple-criteria: danger, changeability and influence of changes for risk increasing. Neuro-fuzzy algorithms are described and proposed for task solution. The novelty of the proposed system is proved by deep analysis of known studies in the field. The structure of neuro-fuzzy system for risk evaluation and mathematical model is described in the paper. The simulation model of the intelligent devices for transport infrastructure is proposed to simulate different situations, assess the risks and propose the possible actions for infrastructure or vehicles to minimize the risk of possible accidents.