Effects of safety measures on driver's speed behavior at pedestrian crossings

Bella, Francesco; Silvestri, Manuel

doi:10.1016/j.aap.2015.07.016

Cited by 71 publications

(41 citation statements)

References 36 publications

(39 reference statements)

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“…Improving safety at pedestrian crossings can be effectively accomplished by engineering work focused on calming vehicular traffic. In particular, raised crossings, road narrowing and safety islands were found to be highly effective [9]. Moreover, the use of additional horizontal markings is an inexpensive and efficient way to alert drivers of an oncoming dangerous section.…”

Section: Discussionmentioning

confidence: 99%

“…m 18 = { 0.6 safety island or median present 0.8 temporary safety island present 1.0 no safety islandNarrowing of the road: Narrowing the road at a pedestrian crossing ("kerb extension") is a meaningful safety feature. In a recent analysis, it was found to be highly effective in cities because it shortens the distance travelled by a pedestrian, eliminates the risk of parked vehicles obscuring the view, and generally leads to the lowering of speed[9].= { . with road narrowing .…”

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confidence: 99%

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Road safety risk assessment at pedestrian crossings: a case study from Sułkowice

Pashkevich¹,

Nowak²

2017

SJSUT.ST

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Pedestrians are vulnerable road users; therefore, they require special attention. In the pedestrian infrastructure, the greatest risk involves pedestrian crossings because they are the conflict points with vehicular traffic. A method to assess pedestrian crossing infrastructure in terms of road safety is presented. The method involves observation of the associated infrastructure and environment, as well as measurements of vehicular and pedestrian behaviour. The assessment involved 17 pedestrian crossings along a main road in the town of Sułkowice, Poland, with the aim of demonstrating the universality of the procedure. Only two of the crossings were found to have the lowest risk, while five were considered as high risk; none was assigned the highest risk score.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Road safety risk assessment at pedestrian crossings: a case study from Sułkowice

Pashkevich¹,

Nowak²

2017

SJSUT.ST

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“…This study highlighted that there were no statistically significant differences between the speeds recorded at the driving simulator and those recorded on field (absolute validity), except for nondemanding configurations, such as a very long tangent (1100 m) and a curve with a high radius (500 m) coming after a long descending tangent. Therefore, the driving simulator of the Department of Engineering, Roma Tre University, is deemed to be a reliable tool for the study of the driver's speed behavior in those road configurations that do not induce high speeds (less than 90 km/h) [e.g., [31][32][33][34][35][36][37]].…”

Section: Driving Simulator and Roadmentioning

confidence: 99%

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

Bella

Silvestri

2018

Journal of Advanced Transportation

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The main objective of this study was to assess the effectiveness of several countermeasures at bicycle crossroads on drivers’ behavior during the driver–cyclist interaction (a cyclist that crosses the road) by the use of a driving simulator. Three treatments of the cyclist crossroads were investigated: baseline condition (no treatment), raised island, and the colored paved markings. Forty-two participants drove a suburban scenario with several bicycle crossroads having difference configurations and presence/absence of cyclist. Overall, 252 speed profiles were plotted from 150 m before each crossroad of which 23 showed non-yield events: 12 for the baseline condition, 6 for the colored paved markings, and 5 for the raised island. The method of the survival analysis was applied to model the driver speed reduction time (the elapsed time to pass from the initial speed to the minimum speed during the yielding maneuver) with the use of the Weibull distribution. The model identified the average deceleration, the drivers’ age, and the countermeasure condition as significant explanatory variables. The survival curves highlighted that for the colored paved markings the driver adopted longer values of the speed reduction times and then a less aggressive driver’s braking behavior. Moreover, the outcomes of the questionnaire confirmed that the colored paved markings were considered to be the most effective in terms of driving aid.

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“…Several studies focused on the driver's speed in different lighting conditions using driving simulators [21][22][23]. Bella and Silvestri (2015) [24] analyzed driver's speed behavior while approaching the zebra crossings under different conditions of vehicle-pedestrian interaction using a driving simulator.…”

Section: Introductionmentioning

confidence: 99%

The Effect of a LED Lighting Crosswalk on Pedestrian Safety: Some Experimental Results

Patella

Sportiello

Carrese

et al. 2020

Safety

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The research presented in this paper is focused on the definition of a new methodology for evaluating how illuminated crosswalks influence drivers’ behavior when approaching the zebra in nighttime conditions. The proposed methodology is based on in situ speed measurements, and cars’ speed was detected in an urban road segment of the city of Rome with a Telelaser instrument. Vehicles speed profiles are measured in the same road segment both in LED-illuminated conditions and in non-illuminated conditions. Results have shown a promising impact of the LED lighting system on pedestrian safety. In fact, cars’ mean speed decreases by 19.3% at the crosswalk section in illuminated conditions. Moreover, a positive effect on safety, in terms of mean speed reduction (−16.4%), was found even in the absence of pedestrians.

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Effects of safety measures on driver's speed behavior at pedestrian crossings

Cited by 71 publications

References 36 publications

Road safety risk assessment at pedestrian crossings: a case study from Sułkowice

Road safety risk assessment at pedestrian crossings: a case study from Sułkowice

Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study

The Effect of a LED Lighting Crosswalk on Pedestrian Safety: Some Experimental Results

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