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Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users
Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users
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Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users

Guo, Yage ; Liu, Yu ; Wang, Botao ; Huang, Peifeng ; Xu, Hailan ; Bai, Zhonghao

Accident analysis and prevention, 2024-08, Vol.203, p.107610, Article 107610 [Periódico revisado por pares]

England: Elsevier Ltd

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2
Pre-crash scenarios for safety testing of autonomous vehicles: A clustering method for in-depth crash data
Pre-crash scenarios for safety testing of autonomous vehicles: A clustering method for in-depth crash data
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Pre-crash scenarios for safety testing of autonomous vehicles: A clustering method for in-depth crash data

Huang, Helai ; Huang, Xiangzhi ; Zhou, Rui ; Zhou, Hanchu ; Lee, Jaeyoung Jay ; Cen, Xuekai

Accident analysis and prevention, 2024-08, Vol.203, p.107616, Article 107616 [Periódico revisado por pares]

England: Elsevier Ltd

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3
Pedestrian crash risk analysis using extreme value models: New insights and evidence
Pedestrian crash risk analysis using extreme value models: New insights and evidence
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Pedestrian crash risk analysis using extreme value models: New insights and evidence

Ankunda, Ampereza ; Ali, Yasir ; Mohanty, Malaya

Accident analysis and prevention, 2024-08, Vol.203, p.107633, Article 107633 [Periódico revisado por pares]

England: Elsevier Ltd

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4
Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems
Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems
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Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems

Moradloo, Nastaran ; Mahdinia, Iman ; Khattak, Asad J.

Accident analysis and prevention, 2024-08, Vol.203, p.107607, Article 107607 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories
Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories
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Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories

Chen, Kequan ; Li, Zhibin ; Liu, Pan ; Knoop, Victor L. ; Han, Yu ; Jiao, Yiru

Accident analysis and prevention, 2024-08, Vol.203, p.107622, Article 107622 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates
Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates
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Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates

Sengupta, Agnimitra ; Ilgin Guler, S. ; Gayah, Vikash V. ; Warchol, Shannon

Accident analysis and prevention, 2024-08, Vol.203, p.107614, Article 107614 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Injury risk curves to guide safe speed limits on Swedish roads using German crash data supplemented with estimated non-injury crashes
Injury risk curves to guide safe speed limits on Swedish roads using German crash data supplemented with estimated non-injury crashes
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Injury risk curves to guide safe speed limits on Swedish roads using German crash data supplemented with estimated non-injury crashes

Lubbe, Nils ; Jeppsson, Hanna ; Sternlund, Simon ; Morando, Alberto

Accident analysis and prevention, 2024-07, Vol.202, p.107586-107586, Article 107586 [Periódico revisado por pares]

England: Elsevier Ltd

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8
Risk of road traffic injury in Norway 1970–2022
Risk of road traffic injury in Norway 1970–2022
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Risk of road traffic injury in Norway 1970–2022

Elvik, Rune

Accident analysis and prevention, 2024-07, Vol.202, p.107587-107587, Article 107587 [Periódico revisado por pares]

England: Elsevier Ltd

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9
Supporting equitable and responsible highway safety improvement funding allocation strategies – Why AI prediction biases matter
Supporting equitable and responsible highway safety improvement funding allocation strategies – Why AI prediction biases matter
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Supporting equitable and responsible highway safety improvement funding allocation strategies – Why AI prediction biases matter

Wei, Zihang ; Zhou, Yang ; Li, Zihao ; Kulkarni, Mihir ; Zhang, Yunlong

Accident analysis and prevention, 2024-07, Vol.202, p.107585-107585, Article 107585 [Periódico revisado por pares]

England: Elsevier Ltd

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10
Modeling temporal correlation and heterogeneity in real-time conflict rates using Bayesian Tobit models for signalized intersections
Modeling temporal correlation and heterogeneity in real-time conflict rates using Bayesian Tobit models for signalized intersections
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Modeling temporal correlation and heterogeneity in real-time conflict rates using Bayesian Tobit models for signalized intersections

Guo, Yanyong ; Sayed, Tarek ; Liu, Pan ; Wu, Yao ; Yue, Quansheng ; Guo, Shaolong

Accident analysis and prevention, 2024-07, Vol.202, p.107552-107552, Article 107552 [Periódico revisado por pares]

England: Elsevier Ltd

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