@article {7782,
	title = {Contribution to the analysis of driver behavioral deviations leading to road crashes at work},
	journal = {IATSS Research},
	volume = {47},
	number = {2},
	year = {2023},
	pages = {225-232},
	abstract = {
	Most road crashes at work are caused by Driver Behavioral Drift (DBD). This DBD has become a recurring issue on congested road sections.



	In this context, this study proposes a method called (MASOCU-DBD) which allows to analyze this DBD problem in two steps: assessment of the dynamics of DBD occurrence using a model called BM-NSA and analysis of DCC using a Cost-Benefit Analysis (CBA) weighted by the Analysis Hierarchical Process (AHP).



	The application of the MASOCU-DBD on a road section of an Algerian city{\textquoteright}s entry highlighted the problem of the DBD in terms of its occurrence and uselessness in the studied section.



	The merit of the proposed method is that it uses multi-criteria analysis tools (AHP and CBA) as well as a mathematical model (BM-NSA) to analyze professional drivers{\textquoteright} behavioral deviations.

},
	url = {https://www.sciencedirect.com/science/article/pii/S0386111223000146?via\%3Dihub},
	author = {Heddar, Yamina and Djebabra, M{\'e}barek and Belkhiri, Mohammed and Saaddi, Saadia}
}
