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Development of a Prediction Model for Crash Occurrence by Analyzing Traffic Crash and Citation Data.

机译：通过分析交通事故和引文数据制定碰撞事故预测模型。

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作者
Gonzalez-Velez, E.; Gonzalez-Bonilla, A.;
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年度 2017
页码 1-74
总页数 74
原文格式 PDF
正文语种 eng
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关键词
Traffic crashes; Crash likelihood estimation; Logistic regression; Human factors; Vehicle characteristics; Road design; Environmental factors;

机译：交通事故;碰撞可能性估计;逻辑回归;人为因素;车辆特征;道路设计;环境因素;

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专利

1. Development of a Real-Time Crash Risk Prediction Model Incorporating the Various Crash Mechanisms Across Different Traffic States [J] . Xu Chengcheng, Wang Wei, Liu Pan, Traffic Injury Prevention . 2015,第1a4期

机译：结合不同交通状态的各种碰撞机制的实时碰撞风险预测模型的开发
2. Application of local conditional autoregressive models for development of zonal crash prediction models and identification of crash risk boundaries [J] . Transportmetrica . 2019,第2期

机译：局部条件自回归模型在区域碰撞预测模型开发和碰撞风险边界识别中的应用
3. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data [J] . Rongjie Yu, Mohamed Abdel-Aty Accident Analysis & Prevention . 2014,第jana期

机译：使用分层贝叶斯二进位概率模型通过实时交通数据分析高速设施上的碰撞伤害严重性
4. Towards Capturing the Sources of Travel Time Unreliability in Microscopic Traffic Models: Driver Heterogeneity,Flow Breakdown and Crash Occurrence [C] . Alireza Talebpour, Hani S. Mahmassani, Jiwon Kim Transportation Research Board Annual meeting . 2013

机译：试图在微观交通模型中捕获行进时间不可靠的根源：驾驶员异质性，流量崩溃和崩溃发生
5. Examining the application of Conway-Maxwell-Poisson models for analyzing traffic crash data. [D] . Geedipally, Srinivas Reddy. 2008

机译：检查Conway-Maxwell-Poisson模型在分析交通事故数据中的应用。
6. Traffic Crash Severity Prediction—A Synergy by Hybrid Principal Component Analysis and Machine Learning Models [O] . Khaled Assi 2020

机译：交通崩溃严重性预测 - 混合主成分分析和机器学习模型的协同作用
7. Real-time crash prediction model for application to crash prevention in freeway traffic [O] . Chris Lee, Bruce Hellinga, Frank Saccomanno 2003

机译：实时碰撞预测模型在高速公路交通防撞中的应用

Development of a Prediction Model for Crash Occurrence by Analyzing Traffic Crash and Citation Data.

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