EM-T2Traffic Injury Prevention201516(8): 786-791Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development Using Loop Detector DataAli Pirdavani, Ellen De Pauw, Tom Brijs, Stijn Daniëls 等 7 人被引 29阅读 3高影响力 前 10%基金开放获取安全、风险、可靠性与质量
EM-T2Traffic Injury Prevention201719(2): 207-213Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effectsMeiquan Xie, Wen Cheng, Gurdiljot Singh Gill, Jiao Zhou 等 6 人被引 39阅读 4高影响力 前 10%基金安全、风险、可靠性与质量
EM-WoSExpert Systems with Applications2025299: 130013-130013A Comprehensive Framework for Human - AI Collaborative Decision Making in Intelligent Retail EnvironmentsSunaina Sridhar, Praveen Baskar, Josh Grimes, Ashwin Sampathkumar被引 5阅读 3高影响力 前 10%开放获取管理科学与运筹学公平—效率权衡预测—优化与决策导向学习金融风险与机器学习
EM-T1Accident Analysis & Prevention201694: 59-64Utilizing the eigenvectors of freeway loop data spatiotemporal schematic for real time crash predictionShouen Fang, Wenjing Xie, Junhua Wang, David R. Ragland被引 26阅读 5高影响力 前 10%安全、风险、可靠性与质量
EM-T1Accident Analysis & Prevention201588: 9-19Predicting crash risk and identifying crash precursors on Korean expressways using loop detector dataHo-Chan Kwak, Seung‐Young Kho被引 58阅读 4高影响力 前 10%安全、风险、可靠性与质量
EM-T1Accident Analysis & Prevention2022176: 106779-106779A data-centric weak supervised learning for highway traffic incident detectionYixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane F. Macfarlane被引 26阅读 5基金开放获取建筑与施工
EM-WoSInformation Sciences2021586: 344-373Missing traffic data imputation using a dual-stage error-corrected boosting regressor with uncertainty estimationMankirat Kaur, Sarbjeet Singh, Naveen Aggarwal被引 22阅读 1基金建筑与施工
EM-T1Accident Analysis & Prevention2020150: 105939-105939Driver speed compliance following automatic incident detection: Insights from a naturalistic driving studySilvia F. Varotto, Reinier J. Jansen, Frits D. Bijleveld, Nicole van Nes被引 17阅读 6基金开放获取安全、风险、可靠性与质量
EM-WoSExpert Systems with Applications2021177: 114972-114972Improved grey system models for predicting traffic parametersGurcan Comert, Negash Begashaw, Nathan N. Huynh被引 76阅读 3高影响力 前 10%基金开放获取建筑与施工
EM-T1Accident Analysis & Prevention2019129: 202-210Real-time accident detection: Coping with imbalanced dataAmir Bahador Parsa, Homa Taghipour, Sybil Derrible, Abolfazl Mohammadian被引 180阅读 5高影响力 前 1%基金开放获取建筑与施工
EM-T2Traffic Injury Prevention202224(1): 44-49Forecasting time trends of fatal motor vehicle crashes in Iran using an ensemble learning algorithmHabibollah Nassiri, Seyed Iman Mohammadpour, Mohammad Dahaghin被引 18阅读 3安全、风险、可靠性与质量金融风险与机器学习
EM-WoSEuropean Journal of Operational Research2023312(1): 182-197Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parametersQixiu Cheng, Yuqian Lin, Xuesong Zhou, Zhiyuan Liu被引 48阅读 2高影响力 前 10%基金开放获取控制与系统工程
EM-T1Accident Analysis & Prevention2019132: 105285-105285Design guidelines for turbulence in traffic on Dutch motorwaysAries van Beinum, Fred Wegman被引 9阅读 4基金开放获取控制与系统工程
EM-T1Accident Analysis & Prevention2018130: 75-83Assessing crash risk considering vehicle interactions with trucks using point detector dataKyung (Kate) Hyun, Kyungsoo Jeong, Andre Y. C. Tok, Stephen G. Ritchie被引 29阅读 2基金安全、风险、可靠性与质量
EM-T1Accident Analysis & Prevention2017102: 235-247Estimation of red-light running frequency using high-resolution traffic and signal dataPeng Chen, Guizhen Yu, Xinkai Wu, Yilong Ren 等 5 人被引 50阅读 7高影响力 前 10%基金控制与系统工程
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