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Integration of Physical and Cognitive Human Models to Simulate Driving With a Secondary In-Vehicle Task
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Artigo
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Integration of Physical and Cognitive Human Models to Simulate Driving With a Secondary In-Vehicle Task

Fuller, H. J. A. ; Reed, M. P. ; Yili Liu

IEEE transactions on intelligent transportation systems, 2012-06, Vol.13 (2), p.967-972 [Periódico revisado por pares]

New York: IEEE

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Introduction of a full redundant architecture into a vehicle by integration of a virtual driver
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Ata de Congresso
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Introduction of a full redundant architecture into a vehicle by integration of a virtual driver

Holzmann, F. ; Bellino, M. ; Siegwart, R. ; Bubb, H.

2006 IEEE Intelligent Vehicles Symposium, 2006, p.126-131

IEEE

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Design of an integrative automotive ergonomics experiment platform
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Design of an integrative automotive ergonomics experiment platform

Yuan Quan ; Zhang Dong-chi ; Du Wan-li ; Li Bon-nan ; Qin Zheng

IEEE International Conference on Vehicular Electronics and Safety, 2005, 2005, p.241-244

IEEE

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4
Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations
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Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations

Favarò, Francesca ; Eurich, Sky ; Nader, Nazanin

Accident analysis and prevention, 2018-01, Vol.110, p.136-148 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

Parsa, Amir Bahador ; Movahedi, Ali ; Taghipour, Homa ; Derrible, Sybil ; Mohammadian, Abolfazl (Kouros)

Accident analysis and prevention, 2020-03, Vol.136, p.105405-105405, Article 105405 [Periódico revisado por pares]

England: Elsevier Ltd

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Real-time crash risk prediction on arterials based on LSTM-CNN
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Artigo
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Real-time crash risk prediction on arterials based on LSTM-CNN

Li, Pei ; Abdel-Aty, Mohamed ; Yuan, Jinghui

Accident analysis and prevention, 2020-02, Vol.135, p.105371-105371, Article 105371 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Comparison of four statistical and machine learning methods for crash severity prediction
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Comparison of four statistical and machine learning methods for crash severity prediction

Iranitalab, Amirfarrokh ; Khattak, Aemal

Accident analysis and prevention, 2017-11, Vol.108, p.27-36 [Periódico revisado por pares]

England: Elsevier Ltd

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Evaluating the safety impact of connected and autonomous vehicles on motorways
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Evaluating the safety impact of connected and autonomous vehicles on motorways

Papadoulis, Alkis ; Quddus, Mohammed ; Imprialou, Marianna

Accident analysis and prevention, 2019-03, Vol.124, p.12-22 [Periódico revisado por pares]

England: Elsevier Ltd

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9
The usefulness of artificial intelligence for safety assessment of different transport modes
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The usefulness of artificial intelligence for safety assessment of different transport modes

Tselentis, Dimitrios I. ; Papadimitriou, Eleonora ; van Gelder, Pieter

Accident analysis and prevention, 2023-06, Vol.186, p.107034-107034, Article 107034 [Periódico revisado por pares]

England: Elsevier Ltd

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10
Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems
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Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems

Yue, Lishengsa ; Abdel-Aty, Mohamed ; Wu, Yina ; Wang, Ling

Accident analysis and prevention, 2018-08, Vol.117, p.55-64 [Periódico revisado por pares]

England: Elsevier Ltd

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