On the impact of average speed enforcement systems in reducing highway accidents: Evidence from the Italian Safety Tutor

Borsati, Mattia; Cascarano, Michele; Bazzana, Flavio

doi:10.1016/j.ecotra.2019.100123

Cited by 14 publications

(10 citation statements)

References 46 publications

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“…Highway safety is an issue of great concern to transportation professionals all over the world [1][2][3][4][5][6][7][8][9][10][11][12]. Despite the decline in highway fatalities between 20012014, the National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS) reported that fatal accidents increased between 2015-2016 [13].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Road Geometry on Vehicle Rollover and Skidding

Yin

Wen

Sun

et al. 2020

IJERPH

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This paper analyzes the influence of single and combined unfavorable road geometry on rollover and skidding risks of D-class mid-sized sport utility vehicles (SUVs) with front-wheel drive for roads with design speeds at 80 km/h. A closed-loop simulation model of human-vehicle-road interactions is established to examine the systematic influence of road geometry on vehicle rollover and skidding. The effects of different road geometry on rollover and skidding on SUVs are studied for pavement surface with good and poor friction when vehicles are in the action of steady state cornering. The rollover and skidding risks of the most unfavorable road segments are assessed. The critical wheel is defined by the threshold of skidding during curve negotiation. The results found that SUVs are not easy to rollover on the most unfavorable roads, regardless of good or poor friction of pavement surface. The safety margin of rollover is greater than that of skidding. The safety margin of skidding is minimal on poor friction roads. Therefore, for the sake of driving safety, it is not recommended to design the roads with these unfavorable road geometry combinations

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Section: Introductionmentioning

confidence: 99%

The Influence of Road Geometry on Vehicle Rollover and Skidding

Yin

Wen

Sun

et al. 2020

IJERPH

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“…Consequently, to assess the impact of DL, W, TA, L, SL, AS, and AADT on the number of predicted vehicles involved in the accident, a sensitivity analysis was performed. This sensitivity analysis is based on the cosine amplitude method according to Eq 26 which rij is the strength of the relation, n shows the number of dataset and also xik and yij explain input variables and the predicted output, correspondingly [104][105]. According to Fig.…”

Section: Comparison Of Models' Performance and Sensitivity Analysismentioning

confidence: 99%

Evaluation of Contributing Factors Affecting Number of Vehicles Involved in Crashes Using Machine Learning Techniques in Rural Roads of Cosenza, Italy

Guido¹,

Haghshenas²,

Haghshenas³

et al. 2021

Preprint

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Evaluation of road safety is a critical issue having to be conducted for successful safety management in road transport systems, whereas safety management is considered in road transportation systems as a challenging task according to the dynamic of this issue and the presence of a large number of effective parameters on road safety. Therefore, evaluation and analysis of important contributing factors affecting the number of crashes play a key role in increasing the efficiency of road safety. For this purpose, in this research work, two machine learning algorithms including the group method of data handling (GMDH)-type neural network and a combination of support vector machine (SVM) and the grasshopper optimization algorithm (GOA) are employed for evaluating the number of vehicles involved in the accident based on the seven factors affecting transport safety including the Daylight (DL), Weekday (W), Type of accident (TA), Location (L), Speed limit (SL), Average speed (AS) and Annual average daily traffic (AADT) of rural roads of Cosenza in southern Italy. In this study, 564 data sets of rural areas were investigated and relevant effective parameters were measured. In the next stage, several models were developed to investigate the parameters affecting the safety management of road transportation for rural areas. The results obtained demonstrated that "Average speed" has the highest level and "Weekday" has the lowest level of importance in the investigated rural area. Finally, although the results of both algorithms were the same, the GOA-SVM model showed a better degree of accuracy and robustness than the GMDH model.

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“…They find an average of about 15% fall in accidents on treated roads. Borsati et al (2019) deals with the endogeneity using IV estimation and estimates a much smaller effect of 3.9% fall in accidents given a 10% increase in coverage. Two reviews on the subject (Pilkington and Kinra (2005), Wilson et al (2010)) ultimately conclude that there is likely a reduction in speeding, accidents, and injury accidents from the implementation of speed cameras, but both admit some issues.…”

Section: Literaturementioning

confidence: 99%

Effects of Speed Cameras on Intersection Accidents: Evidence from Dayton

Willardsen¹

2021

Review of Regional Studies

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Over 30,000 people die annually in automobile accidents in the United States, which equates to about 10 in every 100,000 deaths. Empirical evidence on the effectiveness of speed cameras is mixed primarily due to the endogeneity of the timing and placement of the cameras. I am able to circumvent these issues by leveraging multiple court cases and political infighting that turn the cameras off, on, and off again on two separate data sets. Using a before-after and a difference-in-differences estimator over a twenty-year period, I find all three exogenous shocks suggest roughly the same effect. Speed cameras are weakly effective at preventing the total number of monthly accidents (0.3), certain types of "Angle" accidents (0.15), and most importantly, the severity of those accidents (0.14), which equate to about an 18.5%, 20%, and 41% decrease respectively.

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On the impact of average speed enforcement systems in reducing highway accidents: Evidence from the Italian Safety Tutor

Cited by 14 publications

References 46 publications

The Influence of Road Geometry on Vehicle Rollover and Skidding

The Influence of Road Geometry on Vehicle Rollover and Skidding

Evaluation of Contributing Factors Affecting Number of Vehicles Involved in Crashes Using Machine Learning Techniques in Rural Roads of Cosenza, Italy

Effects of Speed Cameras on Intersection Accidents: Evidence from Dayton

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