An improvement of the conceptual system of the sequential events model of road crashes (i-MOSES).

BACKGROUND

The circulation of vehicles, motorized or not, is a risky activity that can lead to a traffic accident in which all road users can be affected. Road accidents generate high personal, labor, health and economic costs, as well as civil, administrative and even criminal responsibilities. Therefore, it is necessary to carry out a correct investigation of these road accidents. This paper reviews one of the models used for this investigation, the sequential events model for road crashes called MOSES. This model simplifies into a single sequential analysis the actions and conditions that have generated the occurrence and correlation of events that have led to a collision between two bodies, at least one of which is a vehicle, with harmful consequences for the environment, people and things.

METHODS

Analyzing the road accidents that occurred in the city of Badajoz between 2018 and 2022, this work proposes a new position of the sequential events in road accidents. This new position is present in more than fifty percent of the analyzed road accidents. How this new position can improve the description of traffic accidents is tested by analyzing an actual traffic accident recorded in the city of Badajoz between a motorcycle and a car.

RESULTS

The new position has been called Trust Position (TP) and is located between the Real Perception Position (RPP) and the Decision Enforcement Position (DEP) in the sequential events model for road crashes (i-MOSES). Furthermore, in this improvement of the MOSES model (i-MOSES), the reaction time (RT) is analyzed in more depth with the PIEV (Perception, Intellection, Emotion and Volition) theory, establishing that between RPP and TP are present the phases of perception and intellection, and between TP and DEP are present the phases of emotion and volition.

CONCLUSIONS

This analysis shows how the proposed i-MOSES model allows for a deeper and more effective analysis of the causes that generated the traffic accident and all its circumstances. Moreover, it provides conclusions closer to the reality of how the accident actually happened and why it could have happened, ultimately leading to preventive measures to avoid future accidents.