The impacts of heavy rain on speed and headway Behaviors: An investigation using the SHRP2 naturalistic driving study data

Ahmed, Mohamed M.; Ghasemzadeh, Ali

doi:10.1016/j.trc.2018.04.012

Cited by 78 publications

(38 citation statements)

References 32 publications

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“…There is a demonstrated tendency of young people to have riskier driving behaviour (Amponsah‐Tawiah & Mensah, 2016; Cassarino & Murphy, 2018; Kinnear, Kelly, Stradling, & Thomson, 2009; Lancaster & Ward, 2002; Scott‐Parker, Watson, King, & Hyde, 2012; Siegrist et al, 2005; Taubman, Skvirsky, Greenbury, & Prato, 2018). Middle‐aged and older drivers are more conservative than younger drivers (Ahmed & Ghasemzadeh, 2018), so accident liabilities reduce with age due to increased maturity and driving experience (Maycock, 2002). However, the results of our research show that the most affected are precisely middle‐aged drivers.…”

Section: Discussionmentioning

confidence: 99%

Victims crossing overflowing watercourses with vehicles in Spain

Enríquez‐de‐Salamanca

2020

J Flood Risk Management

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Heavy rainfall causes many watercourses to overflow. In these circumstances, crossing by car even on a road, can be extremely dangerous; however, dozens of drivers are swept away every year in their vehicles. This paper analyses this type of accident in Spain between 2008 and 2018, recording the date, location, number of victims, age and gender, and rainfall during the event. The results show that 125 accidents occurred with 200 victims including 45 fatalities. Most accidents occurred in E, S and SE Spain, where the rainfall irregularity is greater, during December, October and March, although fatalities were concentrated in September and October. Among the victims male drivers dominated, with an average age of 52 years. The main cause of these accidents was the drivers' behaviour due to: underestimating risk, overconfidence, overvaluation of their driving skills, an excess of trust in the authorities, ignorance about vehicle drag and buoyancy risks, and, social pressure. To reduce these risks, it is necessary to increase adaptation and protection measures on roads, but above all, a change in drivers' behaviour to stop them trying to cross-flooded rivers.

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Section: Discussionmentioning

confidence: 99%

Victims crossing overflowing watercourses with vehicles in Spain

Enríquez‐de‐Salamanca

2020

J Flood Risk Management

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“…If the advantages of using vehicle sensors' data for system performance verification are apparent, the means and methods for driving context assessment and driver behavior evaluation are still developing. Several studies have emphasized the effect of driving context on driving behavior, as well as on drivers' interactions with invehicle systems (Liang et al, 2016;Ahlström et al, 2018;Ahmed and Ghasemzadeh, 2018;Papazikou et al, 2017;Zhai et al, 2018). Liang et al (2016) underlined the importance of driving context analysis for detecting abnormal driver behavior, aiming to quantify the risks associated with various driver behaviors.…”

Section: Figure 1 Adas Interrelating Factorsmentioning

confidence: 99%

“…Both papers conclude that the driving context might affect driver behavior, both positively and negatively. Studies such as Ahlström et al (2018) and Ahmed and Ghasemzadeh (2018) have emphasized the effect of contextual factors on driver behavior, saying that the driving context must be considered over the full spectrum of its complexity. Some researchers have focused on the development of methods for automated driving event recognition (Mitrovic, D., 2005;Leakkaw and Panichpapiboon, 2018).…”

Section: Figure 1 Adas Interrelating Factorsmentioning

confidence: 99%

The Use of Vehicle Data in Adas Development, Verification and Follow-Up on the System

Orlovska

Wickman

Söderberg

2020

Proc. Des. Soc.: Des. Conf.

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Advanced Driver Assistance Systems (ADAS) require a high level of interaction between the driver and the system, depending on driving context at a particular moment. Context-aware ADAS evaluation based on vehicle data is the most prominent way to assess the complexity of ADAS interactions. In this study, we conducted interviews with the ADAS development team at Volvo Cars to understand the role of vehicle data in the ADAS development and evaluation. The interviews’ analysis reveals strategies for improvement of current practices for vehicle data-driven ADAS evaluation.

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“…If the effects of drivers at exit traffic lanes are ignored, the roundabout capacity can be overestimated or underestimated [31]. It has been proved that bad weather conditions (dark and wet weather) have a negative influence on the roundabout capacity [32], as well as fog and heavy rain which influence the drivers' behaviour in traffic flow on roadways [33,34]. The influence of the intersection geometrical shape on the capacity and the structure of the traffic flow has been considered since 2000 [15], which was also represented in some earlier studies with this topic [35].…”

Section: Literature Reviewmentioning

confidence: 99%

The Influence of the Participation of Non-Resident Drivers on Roundabout Capacity

et al. 2019

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Procedures for the calculation of capacity of all types of unsignalized intersections, therefore roundabouts as well, represents a combination of the empirical model (exponential regression) and the likelihood of accepting time gaps in the priority flow by drivers who perform a minor manoeuvre. The values of the critical headway, as the minimum necessary time gap for performing the wanted minor manoeuvre, and the follow-up headway, have been given as the recommendations in the existing methodologies for capacity calculation, depending on the type of the manoeuvre. In traffic flow theory it has been known that drivers’ behaviour influences the capacity of roads and intersections, and the assessment of that influence is done through the adoption or correction of the values of certain parameters. At unsignalized intersections the influence of drivers’ behaviour is reflected through the values of critical headway and follow-up headway. The acceptance of the value of time gaps, i.e., the value of the critical headway and follow-up headway, depends on drivers’ knowledge of local conditions. This paper presents the parameter values of critical headway and follow-up headway for resident and non-resident drivers based on the analysis and statistical processing of research results. The research was conducted at four roundabouts in four towns in Bosnia and Herzegovina, and the total number of vehicles covered by the research is 31,053. In that way, it has been confirmed that the capacity of roundabouts depends on the behaviour of the alleged groups of drivers, i.e., with the increase of the level of participation of non-resident drivers in traffic flow, the roundabout capacity decreases. The model for determining the influence of non-resident drivers on the roundabout capacity was created by using multiple linear regression. If the proposed model in the procedures of traffic planning is applied, the influence of roundabouts on the level of service, sustainability, and the emission of Green House Gases (GHG) can be realistically assessed and perceived in accordance with the expected participation of resident and non-resident drivers.

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The impacts of heavy rain on speed and headway Behaviors: An investigation using the SHRP2 naturalistic driving study data

Cited by 78 publications

References 32 publications

Victims crossing overflowing watercourses with vehicles in Spain

Victims crossing overflowing watercourses with vehicles in Spain

The Use of Vehicle Data in Adas Development, Verification and Follow-Up on the System

The Influence of the Participation of Non-Resident Drivers on Roundabout Capacity

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