Drivers’ behavioral responses to combined speed and red light cameras

Polders, Evelien; Cornu, Joris; Ceunynck, Tim De; Daniëls, Stijn; Brijs, Kris; Brijs, Tom; Hermans, Elke; Wets, Geert

doi:10.1016/j.aap.2015.05.006

Cited by 37 publications

(17 citation statements)

References 32 publications

(51 reference statements)

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“…Drivers tend to brake abruptly in the dilemma zone due to the presence of red-light cameras. Drivers' conflicting decisions in the dilemma zone result in rear-end crashes [53,54]. The rear end crashes result in slight injury or property damage, obvious from many studies [55][56][57][58].…”

Section: Crash Severity Modeling Using Logistic Regressionmentioning

confidence: 99%

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Jamal

Rahman

Al-Ahmadi

et al. 2019

IJERPH

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Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, which is an alarming situation. This paper presents an overview of RTCs in the Eastern Province, KSA, from 2009 to 2016. Key descriptive statistics for spatial and temporal distribution of crashes are presented. Statistics from the present study suggest that the year 2012 witnessed the highest number of crashes, and that the region Al-Ahsa had a significantly higher proportion of total crashes. It was concluded that the fatality rate for the province was 25.6, and the mean accident to injury ratio was 8:4. These numbers are substantially higher compared to developed countries and the neighboring Gulf states. Spatial distribution of crashes indicated that a large proportion of severe crashes occurred outside the city centers along urban highways. Logistic regression models were developed to predict crash severity. Model estimation analysis revealed that crash severity can be attributed to several significant factors including driver attributes (such as sleep, distraction, overspeeding), crash characteristics (such as sudden deviation from the lane, or collisions with other moving vehicles, road fences, pedestrians, or motorcyclists), and rainy weather conditions. After critical analysis of existing safety and infrastructure situations, various suitable crash prevention and mitigation strategies, for example, traffic enforcement, traffic calming measures, safety education programs, and coordination of key stakeholders, have been proposed.

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Section: Crash Severity Modeling Using Logistic Regressionmentioning

confidence: 99%

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Jamal

Rahman

Al-Ahmadi

et al. 2019

IJERPH

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“…TTCmin is the lowest TTC-value that is calculated by means of the relative distance between two vehicles and their relative speed. The lower the TTCmin, the larger the chance of a collision to occur (Polders et al, 2015).…”

Section: Selection Of Driving Parametersmentioning

confidence: 99%

The effect of pavement markings on driving behaviour in curves: a simulator study

et al. 2016

Self Cite

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This study investigates the effect of two pavement markings (transverse rumble strips (TRS) and a backward pointing herringbone pattern (HP)) on speed and lateral control in and nearby curves. Two real-world curves with strong indications of a safety problem were replicated as realistic as possible in the simulator. Results show that both speed and lateral control differ between the curves. These behavioural differences are probably due to curve-related dissimilarities with respect to geometric alignment, cross-sectional design and speed limit. TRS and HP both influenced mean speed and mean acceleration/deceleration but not lateral control. TRS generated an earlier and more stable speed reduction than HP which induced significant speed reductions along the curve. The TRS gives drivers more time to generate the right expectations about the upcoming curve. When accidents occur primarily near the curve entry, TRS is recommended. The HP has the potential to reduce accidents at the curve end. Practitioner Summary: Two pavement markings (transversal rumble strips and HP) nearby dangerous curves were investigated in the driving simulator. TRS generated an earlier and more stable speed reduction than HP which induced speed reductions along the curve. The TRS gives drivers more time to generate right expectations about the upcoming curve.

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“…About 20% of fatalities on the roads of European Union occurred at the intersections. Many researches (Kloeden et al 2001;Polders et al 2015;Shin, Washington, 2007) reported, that red light running at signalized intersections has a significant impact on road safety since this leads to more serious collisions (side collisions or collisions with vulnerable road users). The red light violation detection system continuously observes traffic at intersections and automatically registers vehicles running the red light.…”

Section: Intelligent Transport Systems As Traffic Safety Measurementioning

confidence: 99%

Effect of intelligent transport systems on traffic safety

Vaitkus

Strumskys

Jasiūnienė

et al. 2016

The Baltic Journal of Road and Bridge Engineering

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One of the biggest problems of constantly growing transport sector is traffic safety. Innovative technologies are an effective tool to deal with the following issue. In order to ensure efficient and coordinated development of intelligent transport systems, it is essential to know their individual performance and impact on traffic safety. This article gives the summary of the effect of intelligent transport systems on road traffic safety. The aim of the research is to highlight intelligent transport systems and intelligent transport systems applications which have the greatest positive impact on traffic safety. To achieve this aim, meta-analysis of previous studies and analysis of experts interviews was carried out. The research consider the following thirteen driver support and control systems regarding their potentials to reduce the number of fatalities: average speed control system, stationary speed cameras, “Alcolock” ‒ application of drunk driver detection, “eCall” system, variable speed limit sign, red light violation detection cameras, forbidden maneuver detection system, vehicle identification system, variable message boards, intelligent road studs, incident detection system, weighin- motion system and seat belt control system.

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Drivers’ behavioral responses to combined speed and red light cameras

Cited by 37 publications

References 32 publications

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

The effect of pavement markings on driving behaviour in curves: a simulator study

Effect of intelligent transport systems on traffic safety

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