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Refinado por: Nome da Publicação: Accident Analysis And Prevention remover assunto: Engineering remover
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11
Modeling crash outcome probabilities at rural intersections: Application of hierarchical binomial logistic models
Modeling crash outcome probabilities at rural intersections: Application of hierarchical binomial logistic models
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Modeling crash outcome probabilities at rural intersections: Application of hierarchical binomial logistic models

Kim, Do-Gyeong ; Lee, Yuhwa ; Washington, Simon ; Choi, Keechoo

Accident analysis and prevention, 2007, Vol.39 (1), p.125-134 [Periódico revisado por pares]

England: Elsevier Ltd

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12
Real-time crash identification using connected electric vehicle operation data
Real-time crash identification using connected electric vehicle operation data
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Real-time crash identification using connected electric vehicle operation data

Zhu, Meixin ; Yang, Hao (Frank) ; Liu, Chenxi ; Pu, Ziyuan ; Wang, Yinhai

Accident analysis and prevention, 2022-08, Vol.173, p.106708-106708, Article 106708 [Periódico revisado por pares]

England: Elsevier Ltd

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13
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
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A Bayesian deep learning method for freeway incident detection with uncertainty quantification

Liu, Genwang ; Jin, Haolin ; Li, Jiaze ; Hu, Xianbiao ; Li, Jian

Accident analysis and prevention, 2022-10, Vol.176, p.106796-106796, Article 106796 [Periódico revisado por pares]

Elsevier Ltd

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14
The Five “I” Framework of Crash Investigation: Linking Investigation Practice to Safety Reform
The Five “I” Framework of Crash Investigation: Linking Investigation Practice to Safety Reform
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The Five “I” Framework of Crash Investigation: Linking Investigation Practice to Safety Reform

Dinh-Zarr, Tho Bella ; Shuey, Ray ; Mooren, Lori

Accident analysis and prevention, 2024-01, Vol.194, p.107296-107296, Article 107296 [Periódico revisado por pares]

Elsevier Ltd

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15
How do people perceive driving risks in small towns? A case study in Central Texas
How do people perceive driving risks in small towns? A case study in Central Texas
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How do people perceive driving risks in small towns? A case study in Central Texas

Li, Xiao ; Rybarczyk, Greg ; Li, Wei ; Usman, Muhammad ; Bian, Jiahe ; Chen, Andong ; Ye, Xinyue

Accident analysis and prevention, 2023-12, Vol.193, p.107285, Article 107285 [Periódico revisado por pares]

Elsevier Ltd

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16
Changes in traffic crash patterns: Before and after the outbreak of COVID-19 in Florida
Changes in traffic crash patterns: Before and after the outbreak of COVID-19 in Florida
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Changes in traffic crash patterns: Before and after the outbreak of COVID-19 in Florida

Lee, Jaeyoung ; Liu, Haiyan ; Abdel-Aty, Mohamed

Accident analysis and prevention, 2023-09, Vol.190, p.107187-107187, Article 107187 [Periódico revisado por pares]

England: Elsevier Ltd

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17
Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)
Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)
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Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)

Zhang, Shile ; Abdel-Aty, Mohamed ; Wu, Yina ; Zheng, Ou

Accident analysis and prevention, 2020-12, Vol.148, p.105844-105844, Article 105844 [Periódico revisado por pares]

England: Elsevier Ltd

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18
Macro-level traffic safety analysis in Shanghai, China
Macro-level traffic safety analysis in Shanghai, China
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Macro-level traffic safety analysis in Shanghai, China

Wang, Xuesong ; Zhou, Qingya ; Yang, Junguang ; You, Shikai ; Song, Yang ; Xue, Meigen

Accident analysis and prevention, 2019-04, Vol.125, p.249-256 [Periódico revisado por pares]

England: Elsevier Ltd

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19
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
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Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

Wen, Xiao ; Xie, Yuanchang ; Wu, Lingtao ; Jiang, Liming

Accident analysis and prevention, 2021-09, Vol.159, p.106261-106261, Article 106261 [Periódico revisado por pares]

Elsevier Ltd

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20
A feature learning approach based on XGBoost for driving assessment and risk prediction
A feature learning approach based on XGBoost for driving assessment and risk prediction
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A feature learning approach based on XGBoost for driving assessment and risk prediction

Shi, Xiupeng ; Wong, Yiik Diew ; Li, Michael Zhi-Feng ; Palanisamy, Chandrasekar ; Chai, Chen

Accident analysis and prevention, 2019-08, Vol.129, p.170-179 [Periódico revisado por pares]

England: Elsevier Ltd

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