The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

Wang, Xiaofei; Li, Siyu; Shen, Tianjie; Wang, Yinhai; Qi, Weiwei; Yao, Jiangbei

doi:10.1016/j.ijtst.2022.11.003

Cited by 3 publications

(3 citation statements)

References 12 publications

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Section: Plos Onementioning

confidence: 68%

“…Conversely, no significant correlations are found between segment classifications using traditional two-dimensional parameters and accident rates in the selected freeway. This underscores the premise that alignment perspective features are fundamental factors affecting the traffic safety [ 35 ] and highlights the limitations of traditional two-dimensional geometric parameters in safety analysis. The classification indicators proposed in this study reflect the continuous micro-changes in observed alignment features by drivers along the driving direction, providing more detailed information on alignment changes.…”

Section: Resultsmentioning

confidence: 84%

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Exploring road safety using alignment perspective features in real driving images: A case study on mountain freeways

He,

Fu,

Wang

et al. 2024

PLoS ONE

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Introduction While driving, drivers frequently adapt their driving behaviors according to their perception of the road’s alignment features. However, traditional two-dimensional alignment methods lack the ability to capture these features from the driver’s perspective. Method This study introduces a novel method for road alignment recognition, employing image recognition technology to extract alignment perspective features, namely alignment perspective skewness (APS) and alignment perspective kurtosis (APK), from in-real driving images. Subsequently, the K-means clustering algorithm is utilized for road segment classification based on APS and APK indicators. Various sliding step length for clustering are employed, with step length ranging from 100m to 400m. Furthermore, the accident rates for different segment clusters are analyzed to explore the relationship between alignment perspective features and traffic safety. A 150 km mountain road section of the Erlianhaote-Guangzhou freewway from Huaiji to Sihui is selected as a case study. Results The results demonstrate that using alignment perspective features as classification criteria produces favorable clustering outcomes, with superior clustering performance achieved using shorter segment lengths and fewer cluster centers. The road segment classification based on alignment perspective features reveals notable differences in accident rates across categories; while traditional two-dimensional parameters-based classification methods fail to capture these differences. The most significant differences in accident rates across categories are observed with segment length of 100m, with the significance gradually diminishing as segment length increases and disappearing entirely when the length exceeds 300m. Implication These findings validate the reliability of using alignment perspective features (APS and APK) for road alignment classification and road safety analysis, providing valuable insights for road safety management.

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Section: Plos Onementioning

confidence: 68%

Section: Resultsmentioning

confidence: 84%

Exploring road safety using alignment perspective features in real driving images: A case study on mountain freeways

He,

Fu,

Wang

et al. 2024

PLoS ONE

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“…Diferent combinations of horizontal and vertical elements will generate diferent parametric equations. Six types of combinations are shown in Table 1, and their space shapes are descripted [30].…”

Section: Methodsmentioning

confidence: 99%

Safety Evaluation for Highway Geometric Design Based on Spatial Path Properties

Wang

2023

Journal of Advanced Transportation

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Safety is an important aspect of road design. In highway geometric design, road engineers use a two-stage design method due to its convenience, but the available two-dimensional design tools on the market are believed to impose limitations. Horizontal and vertical alignment parameters are considered and determined at the designer’s discretion, potentially downplaying the three-dimensional characters of spatial curves. This study focuses on the three-dimensional characteristics of highway alignments and investigates a safety evaluation method to establish the relationship between crash rate and spatial curve properties. This will necessitate an analytical investigation into the effects of higher-order properties, such as curvature and torsion, on the geometry of spatial Cartesian curves. First, these combinations of horizontal and vertical alignments were categorized into six classifications, each with its own spatial expression in mathematical form. After manipulating the curvature and torsion of the spatial curve algebraically, the correlation between geometric design variables and crash rate was ultimately established. A few cases involving geometric design data and crash facts were utilized for verification. The results revealed a considerable positive correlation between curvature or torsion variance and crashes per million vehicles kilometers, as a slight difference between curvature and torsion could also be spotted. And curvature distribution is correlated with collision frequency more closely than torsion spatial variation.

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Evaluation of the Influence of Overturning Parameters on Run-Off-the-Road Vehicles in Vertical Curves

Attari,

Abdi Kordani,

Habibzadeh

et al. 2023

Iran J Sci Technol Trans Civ Eng

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The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

Cited by 3 publications

References 12 publications

Exploring road safety using alignment perspective features in real driving images: A case study on mountain freeways

Exploring road safety using alignment perspective features in real driving images: A case study on mountain freeways

Safety Evaluation for Highway Geometric Design Based on Spatial Path Properties

Evaluation of the Influence of Overturning Parameters on Run-Off-the-Road Vehicles in Vertical Curves

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