Driver behaviour in fog is not only a question of degraded visibility – A simulator study

Rosey, Florence; Aillerie, Isabelle; Éspié, Stéphane; Vienne, Fabrice

doi:10.1016/j.ssci.2017.02.004

Cited by 29 publications

(22 citation statements)

References 16 publications

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“…Weather condition may not be a major factor in causing road tra c accidents (RTAs) but it is undoubtedly one of the important environmental components (1,2). According to the NHTSA reports, the weather condition is responsible for 22% of damages, 19% of injuries and 16% of RTAs between 2005 and 2014 (3).…”

Section: Introductionmentioning

confidence: 99%

“…Dense fog increases the perception of risk and uncertainty of the environment which makes the drivers reduce their headway distance for more safety. Therefore, shortening the headway distance in fog is not mainly a result of slowing down but probably due to the mental sense of safety in drivers (2). As a result, this behavior increases the likelihood of a rear-end collision (2,15,16).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, shortening the headway distance in fog is not mainly a result of slowing down but probably due to the mental sense of safety in drivers (2). As a result, this behavior increases the likelihood of a rear-end collision (2,15,16). Drivers' skills in fog vary according to their individual characteristics.…”

Section: Introductionmentioning

confidence: 99%

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The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018

Khodadadi-Hassankiadeh

Rad

Koohestani

et al. 2020

Preprint

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Objectives: Road fog can form suddenly which necessitates more caution by the researchers as well as drivers due to low vision and related morbidities and mortalities. This study aimed at determining the pattern of accidents in fog and the relationship between driver, road, and accident with injury level in Guilan, Iran from 2014 to 2018. Methods: This is a retrospective descriptive-analytical study that investigated all accidents that had occurred in Guilan from 2014 to 2018. All of the data were entered into STATA software. The time-series estimators were used as the multivariate regression model for the presence or absence of any relationship between variables.Results: In fog, the fatality rate of traffic accidents was significantly higher than other climatic conditions (IRR = 1.471). The likelihood of fatalities in fog decreased with age while it increased when drivers were female (p = 0.001). Most of the accidents in fog condition had occurred in December (p=0.000), February (p=0.001) and November (p=0.012). The number of related injuries at 2 AM (p = 0.032), 3 AM (p = 0.019), and 2 PM (p = 0.02) significantly reduced. Moreover, the rate of mortality at 2 AM (p = 0.005), 9 AM (p = 0.012), 11 AM (p = 0.004), 13 PM (p = 0.008) and 19 PM (p = 0.003) were significantly lower. The rate of injuries was significantly higher in Anzali (P = 0.042) and Rasht (P = 0.018), respectively.Conclusion: In the fog, the fatality rate was significantly higher than that of other conditions. The pattern of accidents in fog decreased with age and increased in accidents involving female drivers. Most of the fatal accidents had occurred in fog in November, January and February, respectively. Road accidents in Anzali and Rasht cities were more fatal.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018

Khodadadi-Hassankiadeh

Rad

Koohestani

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Wang [9] analyzed 1,513,792 traffic accidents and found that the number of fatal traffic accidents caused by dense fog is 35 times that of clear weather. Traffic safety concerns in dense fog on the highway were intense due to the fatal traffic accidents, as the individuals and groups are increasingly concerned with the adverse weather condition impact on highway travelling [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…In the aspect of dense fog in the highway, the previous researches mostly focused on the association between the driver behavior and traffic accidents by considering the driver's physiology and psychology and environmental factors [12,23,24]. is paper focuses on modeling the driver behavior in the fleet mixed with HDVs and CAVs based on the Nagel-Schreckenberg (NaScH) cellular automatic (CA) model, which has advantages in describing the complex behavior and simulating the characteristics of traffic flow under various scenarios and traffic conditions [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Fleet Management for HDVs and CAVs on Highway in Dense Fog Environment

Gong

Wei

et al. 2020

Journal of Advanced Transportation

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Adverse weather conditions have a significant impairment on the safety, mobility, and efficiency of highway networks. Dense fog is considered the most dangerous within the adverse weather conditions. As to improve the traffic flow throughput and driving safety in dense fog weather condition on highway, this paper uses a mathematical modeling method to study and control the fleet mixed with human-driven vehicles (HDVs) and connected automatic vehicles (CAVs) in dense fog environment on highway based on distributed model predictive control algorithm (DMPC), along with considering the car-following behavior of HDVs driver based on cellular automatic (CA) model. It aims to provide a feasible solution for controlling the mixed flow of HDVs and CAVs more safely, accurately, and stably and then potentially to improve the mobility and efficiency of highway networks in adverse weather conditions, especially in dense fog environment. This paper explores the modeling framework of the fleet management for HDVs and CAVs, including the state space model of CAVs, the car-following model of HDVs, distributed model predictive control for the fleet, and the fleet stability analysis. The state space model is proposed to identify the status of the feet in the global state. The car-following model is proposed to simulate the driver behavior in the fleet in local. The DMPC-based model is proposed to optimize rolling of the fleet. Finally, this paper used the Lyapunov stability principle to analyze and prove the stability of the fleet in dense fog environment. Finally, numerical experiments were performed in MATLAB to verify the effectiveness of the proposed model. The results showed that the proposed fleet control model has the ability of local asymptotic stability and global nonstrict string stability.

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Evaluation and Optimization of Erosion Parameters’ Effects on Polymeric Glasses Using Taguchi Method

Benterki,

Faci,

Barka

et al. 2023

J. of Materi Eng and Perform

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Driver behaviour in fog is not only a question of degraded visibility – A simulator study

Cited by 29 publications

References 16 publications

The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018

The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018

Fleet Management for HDVs and CAVs on Highway in Dense Fog Environment

Evaluation and Optimization of Erosion Parameters’ Effects on Polymeric Glasses Using Taguchi Method

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Driver behaviour in fog is not only a question of degraded visibility – A simulator study

Cited by 29 publications

References 16 publications

The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018 ​

The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018 ​

Fleet Management for HDVs and CAVs on Highway in Dense Fog Environment

Evaluation and Optimization of Erosion Parameters’ Effects on Polymeric Glasses Using Taguchi Method

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Product

Resources

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The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018

The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018