Estimation of the vehicle-pedestrian encounter/conflict risk on the road based on TASI 110-car naturalistic driving data collection

Tian, Renran; Li, Lingxi; Yang, Kai; Chien, Stanley; Chen, Yaobin; Sherony, Rini

doi:10.1109/ivs.2014.6856599

Cited by 44 publications

(20 citation statements)

References 13 publications

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“…5 show that there are more chances for the cases to be found as pedestrian on the road cases when there is traffic control device, clearly it will be arguable that the risk for the encounter is not the same when the pedestrian is on the road with the protection of the traffic control device or not. This means that no matter if there is traffic control device or not, having pedestrian on the road will always increase the risk for the driver; however, the absolute risk and the increased risk in these two scenarios are not comparable (Tian et al, 2014).…”

Section: Infrastructure and Vehicle Technologiesmentioning

confidence: 99%

Pedestrians’ Role in Road Accidents

2017

ijtte

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Nearly 1.3 million people die in road crashes each year, on average 3,287 deaths a day. In 2013 in European Union more than 22 % of all who died in road traffic crashes were pedestrians. The number of pedestrians killed on roads in the EU has decreased by only 11 %, compared to the total fatality decrease of 18 % from 2010 to 2013. Of all pedestrian fatalities, 69 % are killed inside urban areas. This paper reviews the literature concerning pedestrian-motor vehicle collision and road safety management according to pedestrian role in accident rise. Paper examine pedestrians safety in order to determine what kind of factors of transport infrastructure, vehicle technical parameters, pedestrian behaviour and road or street category have the influence on pedestrian and vehicle accidents and identify technical reasons of accidents rise. Pedestrians crossing, crossing selection, crossing design and waiting times present the pedestrian role in accident according to road situation. A review is conducted of information in the literature on the injury outcome of a pedestrian/vehicle collision for a given impact speed and the likely consequences of reducing the travelling speeds of vehicles in terms of the frequency and severity of pedestrian injuries. Technical information found gives the opportunity to improve accident reconstruction cases and technical parameters, also it let to identify road infrastructure problems and pedestrian behaviour in road.

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Section: Infrastructure and Vehicle Technologiesmentioning

confidence: 99%

Pedestrians’ Role in Road Accidents

2017

ijtte

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“…From the TASI 110-car naturalistic driving video database, the labeled pedestrian and bicyclist potential conflict database was first retrieved [17,18,19]. This potential conflict database is composed of 15-second video clips representing the cases marked as potential conflict with higher encountering risks [18], containing about 5000 pedestrian and bicyclist videos. Random samples are selected from this potential conflict database with four conditions:…”

Section: Sherony Et Al / Sae Int J Trans Safety / Volume 4 Issue mentioning

confidence: 99%

“…The analysis is based on the TASI (Transportation Active Safety Institute) 110-car naturalistic driving video data set [17,18,19]. This dataset was constructed by the TASI researchers at Indiana University -Purdue University at Indianapolis.…”

Section: Introductionmentioning

confidence: 99%

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Pedestrian/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development

Sherony¹,

Tian

Chien

et al. 2016

SAE Int. J. Trans. Safety

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Many vehicles are currently equipped with active safety systems that can detect vulnerable road users like pedestrians and bicyclists, to mitigate associated conflicts with vehicles. With the advancements in technologies and algorithms, detailed motions of these targets, especially the limb motions, are being considered for improving the efficiency and reliability of object detection. Thus, it becomes important to understand these limb motions to support the design and evaluation of many vehicular safety systems. However in current literature, there is no agreement being reached on whether or not and how often these limbs move, especially at the most critical moments for potential crashes. In this study, a total of 832 pedestrian walking or cyclist biking cases were randomly selected from one large-scale naturalistic driving database containing 480,000 video segments with a total size of 94TB, and then the 832 video clips were analyzed focusing on their limb motions. We modeled the pedestrian/bicyclist limb motions in four layers: (1) the percentages of pedestrians and bicyclists who have limb motions when crossing the road; (2) the averaged action frequency and the corresponding distributions on when there are limb motions; (3) comparisons of the limb motion behavior between crossing and non-crossing cases; and (4) the effects of seasons on the limb motions when the pedestrians/bicyclists are crossing the road. The results of this study can provide empirical foundations supporting surrogate development, benefit analysis, and standardized testing of vehicular pedestrian/ bicyclist detection and crash mitigation systems.

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“…From the year 2012 to 2013, TASI equipped 110 cars with systems capable of recording naturalistic driving data in the greater Indianapolis area [26]. The purpose was to study pedestrian behaviors in various conditions.…”

Section: Tasi 110 Car Naturalistic Driving Datamentioning

confidence: 99%