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Drivers’ Behavior Analysis under Reduced Visibility Conditions Using a Driving Simulator

Mansoureh Jeihani and Snehanshu Banerjee
Department of Transportation & Infrastructure Studies, Morgan State University, Baltimore, MD, USA

Abstract—This study analyzes drivers’ behavior under foggy conditions to determine the factors affecting speed reduction using a full-scale high-fidelity driving simulator. A 154- square-mile road network southwest of the Baltimore metro area is used for analysis with 102 participants. Off-peak traffic conditions were simulated to observe solely the effects of FOG on drivers’ behavior. The participants’ speeds before entering the fog area, in the fog area, and after the fog area are compared using a t-test, and the factors affecting speed variances are studied using a multinomial logistic model. The results illustrate that average speeds differ significantly before and after the onset of fog. However, when it comes to the comparison of average speeds during and after the fog area, the difference in average speed is trivial. Thus, the fog accounted for a reduction in speed before it was encountered, but in its aftermath the change in speeds were insignificant. A Chisquare correlation test shows that drivers’ characteristics such as age, gender, household size, and work status turn out to be significantly associated with speed variations. The results from the multinomial logistic model indicate that, among all the variables, gender has a close relationship with speed variation. The analysis reveals that reduction in speed at the onset of fog is more prevalent among women than men.

Index Terms—inclement weather; foggy conditions; visibility; driving simulator; choice model

Cite: Mansoureh Jeihani and Snehanshu Banerjee, "Drivers’ Behavior Analysis under Reduced Visibility Conditions Using a Driving Simulator," Journal of Traffic and Logistics Engineering, Vol. 6, No. 2, pp. 48-52, December 2018. doi: 10.18178/jtle.6.2.48-52
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