Research graph
References from Comparing fatal crash risk factors by age and crash type by using machine learning techniques. Local targets link to admitted publications; unresolved targets remain external evidence.
A zonal level safety investigation of pedestrian crashes in Riyadh, Saudi Arabia
10.1080/15568318.2018.1463417 · 2019 · External reference
Changes in traffic crash patterns: Before and after the outbreak of COVID-19 in Florida
10.1016/j.aap.2023.107187 · 2023 · External reference
GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
2023 · External reference
Analysis of Traffic Crashes and Violations in a Developing Country
10.1016/j.trpro.2021.07.160 · 2021 · External reference
Influence of occupational risk factors for road traffic crashes among professional drivers: systematic review
10.1080/01441647.2022.2132314 · 2023 · External reference
Impact analysis of road infrastructure and traffic control on severity of pedestrian–vehicle crashes at intersections and non-intersections using bias-reduced logistic regression
10.1016/j.iatssr.2023.03.004 · 2023 · External reference
Assessing the crash risk of mixed traffic on multilane rural highways using a proactive safety approach
10.1016/j.aap.2023.107099 · 2023 · External reference
Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and highway safety research
2023 · External reference
Exploring spatial associations between near-miss and police-reported crashes: The Heinrich’s law in traffic safety
2023 · External reference
Predicting Road Crash Severity Using Classifier Models and Crash Hotspots
10.3390/app122211354 · 2022 · External reference
Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways
10.1016/j.aap.2023.107021 · 2023 · External reference
A conflict-based safety assessment technique for rear-end crash risk at signalized intersections in a lower-middle-income country: A comparison between homogeneous and heterogeneous traffic conditions
10.1016/j.ssci.2023.106075 · 2023 · External reference
Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing
10.1016/j.aap.2023.107218 · 2023 · External reference
Traffic microsimulation for road safety assessments of vehicle automation scenarios: Model comparison and sensitivity analysis
10.1016/j.simpat.2023.102868 · 2024 · External reference
From conflicts to crashes: Simulating macroscopic connected and automated driving vehicle safety
10.1016/j.aap.2023.107087 · 2023 · External reference
Proportion-Based Analytical Hierarchy Process for Determining Prominent Reasons Causing Severe Crashes
10.3390/app13137814 · 2023 · External reference
Comparative Analysis of Parametric and Non-Parametric Data-Driven Models to Predict Road Crash Severity among Elderly Drivers Using Synthetic Resampling Techniques
10.3390/su15139878 · 2023 · External reference
Car accidents and risky driving behaviors among young drivers from the Eastern Province, Saudi Arabia
10.1080/15389588.2022.2113392 · 2022 · External reference
Characterization of crash-prone drivers in Saudi Arabia–A multivariate analysis
10.1016/j.cstp.2016.11.001 · 2017 · External reference
Development of a new traffic safety education material for the future drivers in the Kingdom of Saudi Arabia
2020 · External reference
Impact of vision 2030 on traffic safety in Saudi Arabia
10.1016/j.ijpam.2018.08.002 · 2018 · External reference
Multi-vehicle safety functions for freeway weaving segments using lane-level traffic data
10.1016/j.aap.2023.107113 · 2023 · External reference
Exploring the impact of truck traffic on road segment-based severe crash proportion using extensive weigh-in-motion data
10.1016/j.ssci.2023.106261 · 2023 · External reference
Electroencephalography based classification of emotions associated with road traffic noise using Gradient boosting algorithm
10.1016/j.apacoust.2023.109306 · 2023 · External reference
A Data Driven Approach to Forecasting Traffic Speed Classes Using Extreme Gradient Boosting Algorithm and Graph Theory
10.1016/j.physa.2023.128738 · 2023 · External reference
Examining non-linear built environment effects on injurious traffic collisions: A gradient boosting decision tree analysis
10.1016/j.jth.2021.101296 · 2022 · External reference
IoT type-of-traffic forecasting method based on gradient boosting neural networks
10.1016/j.future.2019.12.013 · 2020 · External reference
Economic development, demographic characteristics, road network and traffic accidents in Zhongshan, China: gradient boosting decision tree model
2020 · External reference
Analysis and visualization of accidents severity based on LightGBM-TPE
10.1016/j.chaos.2022.111987 · 2022 · External reference
SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism
10.1016/j.cose.2020.101984 · 2020 · External reference
A comprehensive study of macro factors related to traffic fatality rates by XGBoost-based model and GIS techniques
10.1016/j.aap.2021.106431 · 2021 · External reference
Intersense: An XGBoost model for traffic regulator identification at intersections through crowdsourced GPS data
10.1016/j.trc.2023.104112 · 2023 · External reference
Hybrid Bayesian optimization hypertuned catboost approach for malicious access and anomaly detection in IoT nomalyframework
10.1016/j.suscom.2022.100805 · 2022 · External reference
Improved CNN-based CatBoost model for license plate remote sensing image classification
10.1016/j.sigpro.2023.109196 · 2023 · External reference
Impacts of traffic-related particulate matter pollution on semen quality: A retrospective cohort study relying on the random forest model in a megacity of South China
10.1016/j.scitotenv.2022.158387 · 2022 · External reference
Taxi drivers’ traffic violations detection using random forest algorithm: A case study in China
10.1080/15389588.2023.2191286 · 2023 · External reference
