The riskiest place in the Greater Besançon territory in terms of road accidents is a 40-hectare area around the intersection between rue de Dole and the RN 57.
Although the information is not so surprising, given the significant traffic observed every day in the Planoise-Micropolis area, a Besançon university has just provided scientific proof. To reach this conclusion, Cécile Spychala, a student in statistical modelling, has produced an important research work concerning accidentology on the roads of the Bisontine agglomeration and the Franche-Comté region. How did she do it? “I collected information such as the position of traffic lights, stops, or socio-demographic data of the territory, such as the address of shops, services”, explains the 26-year-old student. “I got this data from the Insee website, data.gouv and Openstreetmap. »
Interested Bisontine agglomeration
Cécile Spychala defended her thesis on Friday December 9th. Title: statistical analysis of road accidents in the Franche-Comté region, risk factors for the severity of the accident and spatial modeling for the occurrence of the accident. The culmination of three years of research at the mathematics laboratory of Besançon (University of Franche-Comté) and five years of study in mathematics and statistical modelling. Within its jury, apart from professionals in statistics and probability, sat a representative of Grand Besançon Métropole, funder of the thesis, and a member of the gendarmerie.
The urban community funded part of Cécile Spychala’s doctorate. As for the gendarmerie, necessarily interested in matters of accidentology, its Franche-Comté services provided confidential information to the mathematician. Data on bodily accidents occurring in the region which made it possible to establish statistics. By evaluating accident factors on severity and quantifying them, the scientist was able to obtain probabilities. “For example, there is about six times more chance that the accident will be fatal if at least one of the drivers has consumed drugs or alcohol. »
A safer city of the future in terms of road safety
Newer, the academic’s calculations concluded that an “accident was twice as likely to be fatal in the Jura, compared to the Doubs. Another lesson is that an accident is twice as likely to be serious, even fatal (as opposed to a minor accident resulting in hospitalization for less than 24 hours) if it occurs outside a built-up area, compared to an accident in a built-up area.
Anticipating the occurrence of accidents by geographical area and identifying the risk factors that influence this occurrence, such was the objective of Cécile Spychala’s research.
As we speak of Smart City and city of the future, the mathematical model it has developed could have an impact on the development of the agglomeration of Besançon. “We could use the results of this study which indicates which areas are the most risky in terms of accidents and put sensors in these places. This would be a richer database than the ones I used for my work. » Proof that the world of artificial intelligence can improve prevention by road safety.
We want to give thanks to the writer of this write-up for this outstanding material
Besancon. Road safety: artificial intelligence will improve accident prevention
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