Over the last decade, the number of accidents is increased each year in the world that lead to the so called “war of roads”. Several researchers have developed models to predict accidents and to analyze the factors that may contribute to cause the traffic crashes, however it has not yet been possible to alleviate the accident in advance, where the human factor plays a very significant role. The aim of this paper is to take advantage of two key-points: to present a literature overview of road traffic accident and to propose an accident prediction architecture as a future work to prevent the crashes based on driver behavior perspective using machine learning algorithm. We will study particularly the Marrakesh city who has known as a great touristic destination that have much traffic and displacement.
Road traffic accident prediction: a driving behavior approach
06.10.2022
2919501 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
traffic accident notification device of driving to road backward
Europäisches Patentamt | 2020
|Road traffic accident risk prediction deep learning algorithm
Europäisches Patentamt | 2022
|British Library Online Contents | 1995
|