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Development of Motorway Horizontal Alignment Databases for Accurate Accident Prediction Models

Author

Listed:
  • César De Santos-Berbel

    (Departamento de Estructuras y Física de Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Sara Ferreira

    (CITTA—Centro de Investigação do Território Transportes e Ambiente, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal)

  • António Couto

    (CITTA—Centro de Investigação do Território Transportes e Ambiente, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal)

  • António Lobo

    (CITTA—Centro de Investigação do Território Transportes e Ambiente, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal)

Abstract

The safe and efficient operation of highways minimizes the environmental impact, reduces accidents, and promotes the reliability of the transportation infrastructure, all in support of sustainable transportation. The horizontal alignment of highways holds particular importance as it directly impacts driver behavior, vehicle stability, and overall road safety. In many cases, highway inventory data held by infrastructure operators may contain inaccurate or outdated information. The accuracy of the variables used in crash prediction models eliminates possible bias in the variable estimators. This research proposes a methodology to obtain accurate horizontal geometric features from digital imagery based on the analysis of the planimetry, feature geolocation and centerline azimuth sequence. The reliability of the method is verified by means of numerical and statistical procedures. This methodology is applied to 150 km of motorway segments in Portugal. Although it is found that the geometric characteristics of most of the inventory segments closely matched the extracted alignments, very significant differences are found in some sections. The results of the proposed procedure are illustrated with several examples. Finally, the propagation of error in the determination of the geometric design independent variables in the fitting of the statistical models is discussed based on the results.

Suggested Citation

  • César De Santos-Berbel & Sara Ferreira & António Couto & António Lobo, 2024. "Development of Motorway Horizontal Alignment Databases for Accurate Accident Prediction Models," Sustainability, MDPI, vol. 16(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7296-:d:1463522
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    References listed on IDEAS

    as
    1. Garach, L. & de Oña, J. & Pasadas, M., 2014. "Determination of alignments in existing roads by using spline techniques," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 144-152.
    2. Khaled Ali Abuhasel, 2023. "A GIS Approach for Analysis of Traffic Accident Hotspots in Abha and Bisha Cities, Saudi Arabia," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
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