A systematic review of traffic conflict-based safety measures with a focus on application context

Arun, Ashutosh; Boyle, Linda Ng; Washington, Simon; Sayed, Tarek; Mannering, Fred

doi:10.1016/j.amar.2021.100185

Cited by 68 publications

(26 citation statements)

References 137 publications

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“…The interaction of e-scooters with vulnerable road users in transport facilities could range from a regular traffic interaction to a traffic conflict and, ultimately, a collision. Therefore, the assessment of road users' interaction involves various variables such as the spatiotemporal position of road users, speed regimes, infrastructure configurations, and the combination of road users (Arun, Haque, Washington, Sayed, & Mannering, 2021).…”

Section: The Interaction Of E-scooters With Other Vulnerable Road Usersmentioning

confidence: 99%

Electric scooter safety: An integrative review of evidence from transport and medical research domains

Kazemzadeh

Haghani

Sprei

2023

Sustainable Cities and Society

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Section: The Interaction Of E-scooters With Other Vulnerable Road Usersmentioning

confidence: 99%

Electric scooter safety: An integrative review of evidence from transport and medical research domains

Kazemzadeh

Haghani

Sprei

2023

Sustainable Cities and Society

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“…Our review found that the traffic environment can also affect the SSM threshold selection. Arun et al [12] found that in organized traffic environments, the ordered nature of traffic flows makes it easier to correctly measure speed and distance, a requirement for TTC calculation. Conflict studies in lessorganized traffic situations must rely on manual conflict detection methods, and typically use higher TTC thresholds to account for human error.…”

Section: B Study Platforms and Facilities Coveredmentioning

confidence: 99%

“…Their main goal was to develop a consistent framework for traffic conflict reporting methodologies to use in traffic safety assessments. Arun et al [12] conducted another review of SSMs, this time focusing on the application of SSMs used for traffic conflict assessment in the period from 2010 to 2019. Zheng et al conducted a review focusing on the modeling methodologies of traffic conflict frequency and severity [13].…”

Section: Introductionmentioning

confidence: 99%

Surrogate Safety Measures: Review and Assessment in Real-World Mixed Traditional and Autonomous Vehicle Platoons

Das

Samandar²,

Autry

et al. 2023

IEEE Access

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Surrogate safety measures (SSMs) are critical tools for evaluating the safety performance of mixed traffic. Crashes are rare events, and historical crash data is scarce for mixed traffic that includes autonomous and/ or connected vehicles. Recent safety review papers focus on traditional human-driven vehicles (TVs) and do not encompass advanced technology vehicles such as Autonomous Vehicles (AVs), Connected Vehicles (CVs), and Connected-Autonomous Vehicles (CAVs). This study examines the development, implementation, and shortcomings of SSMs, and SSM-based models used for mixed traffic safety evaluation. It reviews the current relevant literature and applies a case study analysis using a real-world mixed traffic dataset. The study summarizes the fundamental SSM guiding concepts, as well as their most significant metrics including threshold values employed in the past for SSMs and SSM-based models. Primary benefits and limitations of examined SSMs and SSM-based models are also underlined. This review reveals significant gaps in the literature that might guide future research paths in SSM-based mixed traffic safety assessment. Critical gaps include the absence of robust SSM threshold selection criteria, the suitability of current SSMs in mixed traffic research, microsimulation modeling that lacks proper calibration and validation, and the absence of a framework for selecting or combining multiple SSMs.INDEX TERMS Mixed traffic, surrogate safety measures, real-world mixed traffic dataset, autonomous vehicles, connected vehicles, connected-autonomous vehicles

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“…Intersections are complex road environments where one or more users share the same space (Nightingale, 2017). There are at least 32 conflict points on four-leg intersections, which increases as the number of approach legs increases (Arun, 2021).…”

Section: Intersections With 4 Legs and Abovementioning

confidence: 99%

Heavy vehicle crashes in Addis Ababa: Relationship between contributing factors and severity of outcomes

Tulu¹,

Lisinge

Wedajo³

2022

J. sustain. dev. transp. logist.

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Random parameter logit regression is used to analyze police-reported data on 8,253 heavy vehicle-related crashes in Addis Ababa between July 2014 and June 2017. The analysis shows that fatal crashes are more likely to occur during the day and on weekdays, particularly when the circulation of trucks is high. It also shows the disproportionately high involvement of young drivers in heavy vehicle crashes in the city. However, the likelihood of crashes resulting in fatalities and serious injuries increases slightly compared to those resulting only in property damage as the age of drivers increases. Low levels of drivers' education, the fact that drivers are often not the owners of vehicles, ownership of vehicles by companies and government organizations, and inappropriate road medians' inappropriate design are also significant contributors to fatal crashes. Curbing deaths and injuries from heavy vehicle crashes in Addis Ababa requires strict enforcement of traffic rules and regulations, particularly speed limits; reforms in driver's training and certification; improved safety culture of vehicle owners and design of road infrastructure. Ethiopia's national road safety strategy launched in July 2022 addresses these issues. Hence the government is taking steps in the right direction.

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A systematic review of traffic conflict-based safety measures with a focus on application context

Cited by 68 publications

References 137 publications

Electric scooter safety: An integrative review of evidence from transport and medical research domains

Electric scooter safety: An integrative review of evidence from transport and medical research domains

Surrogate Safety Measures: Review and Assessment in Real-World Mixed Traditional and Autonomous Vehicle Platoons

Heavy vehicle crashes in Addis Ababa: Relationship between contributing factors and severity of outcomes

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