Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

Y Lian, G Zhang, J Lee, H Huang - Accident analysis & Prevention, 2020 - Elsevier
Abstract The era of Big Data has arrived. Recently, under the environment of intelligent
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …

[HTML][HTML] Factors affecting truck driver behavior on a road safety context: A critical systematic review of the evidence

BS Rashmi, S Marisamynathan - Journal of traffic and transportation …, 2023 - Elsevier
Road traffic injuries and crashes are one of the major public concerns contributing to
mortality and morbidity figures across the globe. Researchers estimated that around 90% of …

Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes

A Behnood, F Mannering - Analytic methods in accident research, 2019 - Elsevier
Using the data from large-truck crashes in Los Angeles over an eight-year period (January
1, 2010 to December 31, 2017), the variation in the influence of factors affecting injury …

Determinant of injury severities in large truck crashes: A weekly instability analysis

A Behnood, NSS Al-Bdairi - Safety science, 2020 - Elsevier
In the past, many attempts have been made to study the effects of large trucks on the safety
of roadway users. However, the exact effects of weekdays and weekends on the injury …

A parallel FP-growth mining algorithm with load balancing constraints for traffic crash data

Y Yang, N Tian, Y Wang, Z Yuan - International Journal of …, 2022 - fsja.univagora.ro
Traffic safety is an important part of the roadway in sustainable development. Freeway traffic
crashes typically cause serious casualties and property losses, being a serious threat to …

Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes

C Wang, F Chen, Y Zhang, J Cheng - Analytic methods in accident …, 2022 - Elsevier
The truck involvement could potentially increase the crash frequency and resulted injury
outcomes and it is of great necessity to understand the similarities and differences in the …

Investigating the injury severity of single-vehicle truck crashes in a develo** country

E Rahimi, A Shamshiripour, A Samimi… - Accident Analysis & …, 2020 - Elsevier
Trucking plays a vital role in economic development in every country, especially countries
where it serves as the backbone of the economy. The fast growth of economy in Iran as a …

Stability of factors influencing walking-along-the-road pedestrian injury severity outcomes under different lighting conditions: A random parameters logit approach with …

R Tamakloe, EK Adanu, J Atandzi, S Das… - Accident Analysis & …, 2023 - Elsevier
Pedestrians walking along the road's edge are more exposed and vulnerable than those on
designated crosswalks. Often, they remain oblivious to the imminent perils of potential …

Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach

MT Haq, M Zlatkovic, K Ksaibati - Accident Analysis & Prevention, 2020 - Elsevier
Earlier research on injury severity of truck-involved crashes focused primarily on single-truck
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …

[HTML][HTML] Evaluating machine learning performance in predicting injury severity in agribusiness industries

FD Kakhki, SA Freeman, GA Mosher - Safety science, 2019 - Elsevier
Although machine learning methods have been used as an outcome prediction tool in many
fields, their utilization in predicting incident outcome in occupational safety is relatively new …