Pedestrian Safety Assessment with Video Analysis

Olszewski, Piotr; Buttler, Ilona; Czajewski, Witold; Dąbkowski, Paweł; Kraśkiewicz, Cezary; Szagała, Piotr; Zielińska, Anna

doi:10.1016/j.trpro.2016.05.172

Cited by 18 publications

(7 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically, traffic-related risk is either aggregated to the macro-level (neighborhoods, census tracts, even counties) [7,69,70], or painstakingly micro-tailored to very specific settings (e.g. considering only zebra-crossings [71]). However, initiatives like Vision Zero, involving governments and organizations worldwide, demand new streams of data and methodologies that help address the street safety challenge at the finest level and at scale.…”

Section: Urban Hazard Landscapementioning

confidence: 99%

Explainable, automated urban interventions to improve pedestrian and vehicle safety

Bustos

Rhoads

Solé-Ribalta

et al. 2021

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

At the moment, urban mobility research and governmental initiatives are mostly focused on motor-related issues, e.g. the problems of congestion and pollution. And yet, we can not disregard the most vulnerable elements in the urban landscape: pedestrians, exposed to higher risks than other road users. Indeed, safe, accessible, and sustainable transport systems in cities are a core target of the UN's 2030 Agenda. Thus, there is an opportunity to apply advanced computational tools to the problem of traffic safety, in regards especially to pedestrians, who have been often overlooked in the past. This paper combines public data sources, large-scale street imagery and computer vision techniques to approach pedestrian and vehicle safety with an automated, relatively simple, and universally-applicable data-processing scheme. The steps involved in this pipeline include the adaptation and training of a Residual Convolutional Neural Network to determine a hazard index for each given urban scene, as well as an interpretability analysis based on image segmentation and class activation mapping on those same images. Combined, the outcome of this computational approach is a fine-grained map of hazard levels across a city, and an heuristic to identify interventions that might simultaneously improve pedestrian and vehicle safety. The proposed frame

show abstract

Section: Urban Hazard Landscapementioning

confidence: 99%

Explainable, automated urban interventions to improve pedestrian and vehicle safety

Bustos

Rhoads

Solé-Ribalta

et al. 2021

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

show abstract

“…They designed a framework that depends on car velocity and proximity to pedestrian crosswalk using the distance–velocity (DV) model. Another related study (Olszewski et al, 2016) used video analysis to identify pedestrian–vehicle conflicts and proposed some road crossing improvements to enhance pedestrian safety.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, Osama and Sayed (2017) tried to investigate the relationship between pedestrian–motorist crashes and various sidewalk network indicators in the city of Vancouver. Another study by Olszewski et al (2016) aimed for developing surrogate safety measures based on detection of dangerous situations or near‐accidents. Some studies have also demonstrated the importance to enhance pedestrian safety at nonsignalized intersections.…”

Section: Introductionmentioning

confidence: 99%

Examine the pedestrian road crossing behavior in Kuwait

AlKheder

Alrashidi

Zaqzouq

2022

Journal of Public Affairs

View full text Add to dashboard Cite

This study sheds light on pedestrian and driver's behavior towards crossing in Kuwait. It examined the effect of different factors on pedestrian and vehicle violations at 10 locations in Kuwait including signalized, nonsignalized intersections, locations with/without pedestrian's bridge, and locations with/without pedestrian crossing signals. Four types of pedestrian's violations were observed; crossing outside the marked crossway, not obeying traffic signal, distracted crossing (eating, drinking, or using a smartphone while crossing), and not using pedestrian's bridge. For vehicle violations, two types were observed; not yielding to pedestrians and stopping over the marked crossway. The pedestrian and vehicle violations observed are considered as “violations” according to the existing Highway Code in Kuwait. A total of 24,393 pedestrian crossing violations were recorded over 40 days. Pedestrian violations were analyzed using a multinomial logit model while vehicle violations were analyzed by frequencies analysis. Video data were used for validation applying a trajectory‐based approach showing a high accuracy level of 98.85%. The results showed that all the studied factors; time of observation including weekdays and weekends, and peak and off‐peak hours, location of observation, demographic characteristics including pedestrian gender, and age, and site properties (with/without pedestrian's bridge and with/without pedestrian crossing signal) were significant and had a strong relationship with the type of violations. The results also indices the importance of providing pedestrian's bridge in locations with a high number of violations.

show abstract

“…These methods can help to detect and analyse conflicts automatically and thus eliminate the bias and uncertainty introduced by human observers. Nevertheless, surrogate safety methodologies taking advantage of automatic or semi-automatic video analysis are still under development [19][20][21]. It is hoped that they can enable unbiased safety assessment based on relatively short observation periods and will provide an objective evaluation of measures used to improve safety.…”

Section: Introductionmentioning

confidence: 99%

Investigation of traffic conflicts at signalised intersections in Warsaw

et al. 2019

Self Cite

View full text Add to dashboard Cite

Although traffic safety situation in general is improving, the numbers of pedestrians and cyclists hit when crossing a road have not significantly decreased recently. Based on police accident records for years 2010-2014, some 735 pedestrians and 505 cyclists were hit by motor vehicles in Warsaw. Investigation reported in this paper is a part of the European project InDeV. One aim of the project is to find correlation between accidents and traffic conflicts and thus provide a solid base for using surrogate safety measures as safety diagnostic tools. Three typical signalised intersections in Warsaw were selected for video recording. Relevant encounters between motor vehicles and vulnerable road users (pedestrians and cyclists) were identified and analysed using programs RUBA and T-Analyst. The paper describes the semiautomatic video data processing and problems regarding some technical and methodological aspects of conflict detection. Based on video analysis of 24 hours of recording for each intersection, preliminary characteristics of encounters between pedestrians/cyclists and motorised vehicles have been developed. Statistical distributions of encounter parameters such as time-to-collision (TTC) and post-encroachment time (PET) are presented. These will be used in the development of appropriate safety indicators.

show abstract

Pedestrian Safety Assessment with Video Analysis

Cited by 18 publications

References 8 publications

Explainable, automated urban interventions to improve pedestrian and vehicle safety

Explainable, automated urban interventions to improve pedestrian and vehicle safety

Examine the pedestrian road crossing behavior in Kuwait

Investigation of traffic conflicts at signalised intersections in Warsaw

Contact Info

Product

Resources

About