Validation of surrogate measures of safety with a focus on bicyclist–motor vehicle interactions

Johnsson, Carl; Laureshyn, Aliaksei; D’Agostino, Carmelo

doi:10.1016/j.aap.2021.106037

Cited by 22 publications

(10 citation statements)

References 14 publications

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“…The term traffic conflict denotes an observable event that would end in a road crash unless one of the involved road users slows down, changes lane, or accelerates to avoid a collision [61]. Based on Table A1, it is demonstrated that the collection of traffic conflictrelated SSMs under real road conditions in the majority of the examined studies is based on video recordings [62][63][64][65][66][67][68]. Conflict surveys through field observations are another option for collecting such data [69].…”

Section: Types Of Ssms and Historical Crash Datamentioning

confidence: 99%

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

2023

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Historical road crash data are the main indicator for measuring road safety outcomes. Over the past few decades, significant efforts have been made in obtaining and exploiting Surrogate Safety Measures (SSMs). SSMs have the potential to provide excellent sustainable road safety indicators and proxy measurements which can complement traditional historical crash analyses or even substitute them. By using SSMs, crash data collection demands can be bypassed and areas can be investigated before crashes occur. Due to such advantages, the objective of the present research is to provide a review of the scientific literature regarding studies exploiting SSMs for historical crash record investigations. Specifically, 34 studies were examined, providing insights on the different types of SSMs collected under real road environment conditions, the way they are collected, their connection with specific road crash types, and the type of the developed statistical models are examined and discussed. Particular focus is also placed on the temporal dimension of the collection period of both SSMs and road crashes. Finally, the overall trends deriving from the reviewed studies are summarized and future research directions are provided.

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Section: Types Of Ssms and Historical Crash Datamentioning

confidence: 99%

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

2023

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“…TTC is considered one of the most popular surrogate measures of safety (Arun et al, 2021a(Arun et al, , 2021bJohnsson et al, 2018;Tarko, 2018a), and several modifications have been proposed (Nadimi et al, 2020). It has been applied in a wide range of studies investigating interactions between motor vehicles and pedestrians (Haque et al, 2021;Jiang et al, 2015;Kizawi and Borsos, 2021;Lenard et al, 2018;Zhang et al, 2020) or cyclists (Johnsson et al, 2021;Kovaceva et al, 2019;Orsini et al, 2022;Rossi et al, 2021;Zhao et al, 2021).…”

Section: A Surrogate Measure Of Safety For Vehicle-vru Conflictsmentioning

confidence: 99%

“…Low PET values identify traffic conflicts, and PET = 0 represents a crash. It has been applied in many recent works on vehicle-VRU interactions (Chaudhari et al, 2021;Johnsson et al, 2021;Nasernejad et al, 2021;Vasudevan et al, 2022;Zhang et al, 2020;Zhu et al, 2021).…”

Section: A Surrogate Measure Of Safety For Vehicle-vru Conflictsmentioning

confidence: 99%

Before-after safety analysis of a shared space implementation

Orsini

Batista

Friedrich

et al. 2023

Case Studies on Transport Policy

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“…And they provided specific recommendations for SMoS selection. Johnsson, et al 23 validated the TTC and PET indicators using interaction trajectories gathered from cyclists and right-or left-turning motor vehicles. Their research suggested that a minimum TTC with a threshold of 3-4 seconds was recommended in the case of such road features.…”

mentioning

confidence: 99%

Identifying the Threshold Discrepancy of Rear-End Conflicts under Clear and Rainy Weather Conditions Using Trajectory Data

Jin,

Abdel-Aty,

Ugan

et al. 2023

Preprint

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The appropriate threshold selection is pivotal in near-crashes detections. Nevertheless, most cutting-edge warning systems utilize thresholds that are directly derived from general traffic scenarios. There is no evidence support that thresholds acquired from general scenarios can be applied to specific scenarios. Thus, the purpose of this study is to investigate whether thresholds of three surrogate measures of safety (SMoS) differ between the general clear scenario and the special rainy scenario. A total of 1048 rear-end events (724 in clear conditions and 324 in light rain conditions) were obtained from the CitySim dataset. Two threshold selection methods were used to recommend appropriate thresholds. The findings indicated that only MTTC had a statistical difference in two weather scenarios, hence, a threshold was recommended under each of two weather conditions. Furthermore, the MTTC threshold for rainy conditions was three times higher than for clear conditions. Contrarily, the threshold was statistically insignificant for the SPDRF and DRAC under two conditions, so only one integration threshold per SMoS was recommended, even in two scenarios. These findings could help safety-system designers set more targeted and appropriate thresholds when encounter specific characteristics (e.g., weather) for active safety systems or safety warning infrastructures in future smart cities.

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Validation of surrogate measures of safety with a focus on bicyclist–motor vehicle interactions

Cited by 22 publications

References 14 publications

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

Before-after safety analysis of a shared space implementation

Identifying the Threshold Discrepancy of Rear-End Conflicts under Clear and Rainy Weather Conditions Using Trajectory Data

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