[HTML][HTML] Review and assessment of different perspectives of vehicle-pedestrian conflicts and crashes: Passive and active analysis approaches

A Sheykhfard, F Haghighi, E Papadimitriou… - Journal of traffic and …, 2021 - Elsevier
The importance of investigating pedestrian safety has been evaluated repeatedly in safety
studies. The present study attempts to evaluate the various methods used by previous …

[HTML][HTML] Using computer vision and machine learning to identify bus safety risk factors

BPY Loo, Z Fan, T Lian, F Zhang - Accident Analysis & Prevention, 2023 - Elsevier
In road safety research, bus crashes are particularly noteworthy because of the large
number of bus passengers involved and the challenge that it puts to the road network (with …

Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency

T Lian, BPY Loo, Z Fan - Computers, environment and urban systems, 2024 - Elsevier
Data are essential for planning walkable cities that are comfortable, convenient and safe to
pedestrians. Yet, in contrast to massive vehicular traffic data, data on pedestrian traffic have …

Exposure based geographic analysis mode for estimating the expected pedestrian crash frequency in urban traffic zones; case study of Tehran

SA Almasi, HR Behnood - Accident Analysis & Prevention, 2022 - Elsevier
Predicting pedestrian crashes on urban roads is one of the most important issues related to
urban traffic safety. Due to the lack of spatial correlation and instability in the crash data, the …

Safety of walking trips accessing to public transportation: a Bayesian spatial model in Hong Kong

J Su, NN Sze - Travel behaviour and society, 2022 - Elsevier
The first mile and last mile (FMLM) problem is a prevalent and major problem faced by the
government agencies and transport operators for the design, planning and management of …

[HTML][HTML] Evaluating the spatial effects of environmental influencing factors on the frequency of urban crashes using the spatial Bayes method based on Euclidean …

MS Bavar, A Naderan, M Saffarzadeh - Transportation Engineering, 2023 - Elsevier
Built environmental factors are one of the most important causes of urban crashes. Studies
have shown that in addition to crash data, which have spatial heterogeneity, factors …

Spatial association between urban neighbourhood characteristics‎‎ and‎‎‎ child pedestrian–motor vehicle collision‎ s

E Soroori, B Kiani, S Ghasemi, A Mohammadi… - Applied spatial analysis …, 2023 - Springer
This study examined the relationship between environmental and socioeconomic factors
and the number of motor vehicle collisions involving young pedestrians. The research …

Drivers' performance assessment approaching pedestrian crossings through the analysis of the speed and perceptive data recorded during on-field tests

M Meocci, A Terrosi, A Paliotto, R Arrighi, I Petrizzo - Heliyon, 2024 - cell.com
Pedestrian fatalities in road accidents represent one of the biggest causes of death in the
world despite the great efforts that have been made to decrease the involvement of …

Incorporating design consistency into risk-based geometric design of horizontal curves: a reliability-based optimization framework

R Alsaleh, G Lanzaro, T Sayed - Transportmetrica A: transport …, 2024 - Taylor & Francis
Reliability theory has recently been utilized to consider the uncertainty in highway geometric
design and optimize highway cross-section design safety by reducing crash risk. However …

Using spatial modeling for identifying determinants influencing crash estimate: case study of Hamedan, Iran

SA Almasi, AR Bakhshi Lomer… - Transportation …, 2024 - journals.sagepub.com
Road crashes are a major cause of fatalities worldwide, posing significant challenges for
road-safety experts in selecting appropriate crash-frequency estimation models. This study …