Systematic literature review of 10 years of cyclist safety research

A Scarano, M Aria, F Mauriello, MR Riccardi… - Accident Analysis & …, 2023 - Elsevier
Cyclist safety is a research field that is gaining increasing interest and attention, but still
offers questions and challenges open to the scientific community. The aim of this study was …

An analysis of day and night bicyclist injury severities in vehicle/bicycle crashes: A comparison of unconstrained and partially constrained temporal modeling …

N Alnawmasi, F Mannering - Analytic methods in accident research, 2023 - Elsevier
Due to visibility limitations and other factors, the injuries sustained by bicyclists in nighttime
vehicle-bicycle crashes tend to be more severe than daytime crashes. This paper seeks to …

Ai enabled accident detection and alert system using iot and deep learning for smart cities

N Pathik, RK Gupta, Y Sahu, A Sharma, M Masud… - Sustainability, 2022 - mdpi.com
As the number of vehicles increases, road accidents are on the rise every day. According to
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …

[HTML][HTML] Injury severity prediction of cyclist crashes using random forests and random parameters logit models

A Scarano, MR Riccardi, F Mauriello… - Accident Analysis & …, 2023 - Elsevier
Cycling provides numerous benefits to individuals and to society but the burden of road
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …

Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle–bicycle crashes

SA Samerei, K Aghabayk, N Shiwakoti… - Journal of safety …, 2021 - Elsevier
Abstract Introduction: In recent years, Australia is seeing an increase in the total number of
cyclists. However, the rise of serious injuries and fatalities to cyclists has been a major …

Road accident analysis with data mining approach: evidence from Rome

A Comi, A Polimeni, C Balsamo - Transportation research procedia, 2022 - Elsevier
Nowadays, road accident is one of the main causes of mortality worldwide. Then, measures
are required to reduce or mitigate the accident impacts. The identification of the most …

A spatiotemporal analysis of motorcyclist injury severity: Findings from 20 years of crash data from Pennsylvania

X Li, J Liu, Z Zhang, A Parrish, S Jones - Accident Analysis & Prevention, 2021 - Elsevier
Motorcyclists face higher risks of severe injuries in crashes compared to motor vehicle
drivers who are often protected by seatbelts and airbags during collisions. A report by the …

Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China

Y Chen, R Luo, M King, Q Shi, J He, Z Hu - Accident Analysis & Prevention, 2022 - Elsevier
Traffic crashes are the result of the interaction between human activities and different socio-
economic, geographical, and environmental factors, showing a temporal and spatial …

Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted …

A Mohammadnazar, I Mahdinia, N Ahmad… - Accident Analysis & …, 2021 - Elsevier
Abstract Safety Performance Functions (SPFs) are critical tools in the management of
highway safety projects. SPFs are used to predict the average number of crashes per year at …

Exploring bicyclist injury severity in bicycle-vehicle crashes using latent class clustering analysis and partial proportional odds models

Z Lin, WD Fan - Journal of safety research, 2021 - Elsevier
Introduction: Bicyclists are more vulnerable compared to other road users. Therefore, it is
critical to investigate the contributing factors to bicyclist injury severity to help provide better …