Intelligent cognition of traffic loads on road bridges: From measurement to simulation–A review

J Zheng, J Tang, Z Zhou, J Heng, X Chu, T Wu - Measurement, 2022 - Elsevier
Traffic load is a crucial but complicated factor in determining the in-service performance and
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …

SARIMA modelling approach for forecasting of traffic accidents

N Deretić, D Stanimirović, MA Awadh, N Vujanović… - Sustainability, 2022 - mdpi.com
To achieve greater sustainability of the traffic system, the trend of traffic accidents in road
traffic was analysed. Injuries from traffic accidents are among the leading factors in the …

The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China

T Feng, Z Zheng, J Xu, M Liu, M Li, H Jia… - Frontiers in public …, 2022 - frontiersin.org
Objective This cross-sectional research aims to develop reliable predictive short-term
prediction models to predict the number of RTIs in Northeast China through comparative …

Identifying high crash risk segments in rural roads using ensemble decision tree-based models

M Iranmanesh, S Seyedabrishami, S Moridpour - Scientific reports, 2022 - nature.com
Traffic safety forecast models are mainly used to rank road segments. While existing studies
have primarily focused on identifying segments in urban networks, rural networks have …

A comprehensive study of macro factors related to traffic fatality rates by XGBoost-based model and GIS techniques

F Jiang, J Ma - Accident Analysis & Prevention, 2021 - Elsevier
With the fast development of economics, road safety is becoming a serious problem.
Exploring macro factors is effective to improve road safety. However, the existing studies …

Traffic accident severity analysis in Barcelona using a binary probit and CHAID tree

A Aiash, F Robusté - International journal of injury control and …, 2022 - Taylor & Francis
Traffic accidents are still wide causation for fatalities around the globe. The set of alarm for
this cause of deaths is still on, since the number of fatalities is still representing an enormous …

Application of Bayesian Space-Time interaction models for Deer-Vehicle crash hotspot identification

MT Ashraf, K Dey - Accident Analysis & Prevention, 2022 - Elsevier
The objective of this research was to identify and prioritize deer-vehicle crash (DVC)
hotspots using five years of crash data. This study applied Bayesian spatiotemporal models …

Visualizing temporal and spatial distribution characteristic of traffic accidents in China

Y Yang, L Jin - Sustainability, 2022 - mdpi.com
The interaction among social economy, geography, and environment leads to the
occurrence of traffic accidents, which shows the relationship between time and space …

Impact of Driver, Vehicle, and Environment on Rural Road Crash Rate

S Tajnik, B Luin - Sustainability, 2022 - mdpi.com
There is an abundance of research on road-crash-influencing factors; however, it often relies
on a limited subset of variables. The aim of this work was to analyze the significance of road …

Road injury burden in Mexico 1990 to 2019: Secondary data analysis from the Global Burden of Disease Study

CA Dávila-Cervantes - Accident Analysis & Prevention, 2021 - Elsevier
Road injuries have been a major cause of premature mortality and disability in Mexico. The
objective of this paper is to report the findings from the Global Burden of Disease study (GBD …