Search Results - "Accident analysis and prevention"

A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling by Wang, Chen, Xie, Yuanchang, Huang, Helai, Liu, Pan

“…•A comprehensive review of surrogate safety measures (SSM).•Pros and cons of various SSM are discussed and compared.•Applications of SSM in CAV safety modeling…”
Get full text

Evaluating the safety impact of connected and autonomous vehicles on motorways by Papadoulis, Alkis, Quddus, Mohammed, Imprialou, Marianna

“…•A CAV control algorithm is implemented in a simulated motorway segment.•CAVs can reduce traffic conflicts depending on CAVs penetration rate.•Greater…”
Get full text

The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis by Yang, Chao, Chen, Mingyang, Yuan, Quan

“…•Spatial distribution of freight truck related crashes differs by injury severity.•In contrast with ZIP model, XGBoost model is used to test nonlinear…”
Get full text

Real-time crash risk prediction on arterials based on LSTM-CNN by Li, Pei, Abdel-Aty, Mohamed, Yuan, Jinghui

“…•A LSTM Convolutional Neural Network (LSTM-CNN) network is proposed to predict crash risk in real-time on arterials.•The possibilities of using various data…”
Get full text

Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis by Parsa, Amir Bahador, Movahedi, Ali, Taghipour, Homa, Derrible, Sybil, Mohammadian, Abolfazl (Kouros)

“…•Develop an XGBoost model to detect accidents with detection rate of 79 %, and AUC of 89 %.•The developed model is robust and interpretable thanks to…”
Get full text

What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records by Rolison, Jonathan J., Regev, Shirley, Moutari, Salissou, Feeney, Aidan

“…•According to police officers, mobile phone use is under-reported in traffic accident records.•Drug and alcohol use may also be under-reported in road accident…”
Get full text

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP by Wen, Xiao, Xie, Yuanchang, Wu, Lingtao, Jiang, Liming

“…•A novel Light Gradient Boosting Machine approach is introduced to model crash counts.•SHAP method is used to quantify the safety effects of key factors.•The…”
Get full text

Comparison of four statistical and machine learning methods for crash severity prediction by Iranitalab, Amirfarrokh, Khattak, Aemal

“…•Four different classification methods were investigated for crash severity prediction.•The effects of two data clustering methods on crash severity prediction…”
Get full text

A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data by Bao, Jie, Liu, Pan, Ukkusuri, Satish V.

“…•We propose a spatiotemporal deep learning architecture to predict the citywide short-term crash risk.•The proposed architecture can explore both the spatial…”
Get full text

A feature learning approach based on XGBoost for driving assessment and risk prediction by Shi, Xiupeng, Wong, Yiik Diew, Li, Michael Zhi-Feng, Palanisamy, Chandrasekar, Chai, Chen

“…•A method is designed to extract driving behaviour features and predict risk levels.•Massive driving behaviour features are extracted from real vehicle…”
Get full text

Factors affecting motorcyclists’ injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances by Waseem, Muhammad, Ahmed, Anwaar, Saeed, Tariq Usman

“…•A random-parameters logit model with heterogeneity in means and variances was estimated to analyze injury severity of motorcycle crashes.•One variable “engine…”
Get full text

Analyzing driver behavior under naturalistic driving conditions: A review by Singh, Harpreet, Kathuria, Ankit

“…•Methods for analyzing naturalistic driving data.•Various factors influencing driving behavior under naturalistic driving conditions.•Strategies to improve…”
Get full text

Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports by Yang, Hong, Ma, Qingyu, Wang, Zhenyu, Cai, Qing, Xie, Kun, Yang, Di

“…•One of the first studies to quantitatively analyze E-Scooter crash characteristics.•Leveraged massive news reports to collect nationwide E-Scooter crash…”
Get full text

A review of spatial approaches in road safety by Ziakopoulos, Apostolos, Yannis, George

“…•This paper reviews spatial analyses in road safety research•Design characteristics of 132 spatial road safety studies are summarized on tables•The various…”
Get full text

Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems by Rahman, Md Mahmudur, Lesch, Mary F., Horrey, William J., Strawderman, Lesley

“…•Driver acceptance was modelled with TAM, TPB, and UTAUT.•TAM, TPB, and UTAUT were able to predict behavioral intention to use an ADAS.•TAM performed the best…”
Get full text

Psychosocial factors associated with intended use of automated vehicles: A simulated driving study by Buckley, Lisa, Kaye, Sherrie-Anne, Pradhan, Anuj K.

“…•TPB constructs predicted intended AV use after undertaking a simulator drive.•Only the TAM construct of perceived usefulness predicted intended AV use.•Trust…”
Get full text

Severity analysis for large truck rollover crashes using a random parameter ordered logit model by Azimi, Ghazaleh, Rahimi, Alireza, Asgari, Hamidreza, Jin, Xia

“…•Injury severity of large truck rollover crashes were studied in the state of Florida.•Heterogeneity was explored using a random parameter ordered logit…”
Get full text

Crash injury severity analysis using a two-layer Stacking framework by Tang, Jinjun, Liang, Jian, Han, Chunyang, Li, Zhibin, Huang, Helai

“…•A two-layer Stacking model is proposed to predict crash injury severity.•The fist layer combines three classification methods: RF, AdaBoost and GBDT.•The…”
Get full text

Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates by Cicchino, Jessica B.

“…•Forward collision warning (FCW) reduced front-to-rear crash rates 27% and front-to-rear injury crash rates 20%.•Low-speed autonomous emergency braking (AEB)…”
Get full text

Pedestrian-driver communication and decision strategies at marked crossings by Sucha, Matus, Dostal, Daniel, Risser, Ralf

“…•60% of the pedestrians found it fairly safe to use the marked crossings under study.•A great proportion of drivers (36%) failed to yield to pedestrians at…”
Get full text