Abstract
Road geometry, including tangents and curves, is essential information for many geospatial applications, such as traffic accident analysis, car navigation, and site selection and ranking. In accident analysis, drivers are influenced by road geometry. They adapt their way of driving based on their perceptions, driving ability and accumulated experience in segments they have covered yet. In a few road safety applications, road geometry is updated to reduce traffic accidents. Road geometry also presents important data for car navigation. Detailed road geometry provides accurate and informative directions, best routes, and notifications on recently occurred events. In addition, road geometry is usually used as an influencing factor in a wide range of site selection applications (i.e., site selection for waste disposal and new schools/universities).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Andrášik, R., & Bíl, M. (2016). Efficient road geometry identification from digital vector data. Journal of Geographical Systems, 18(3), 249–264.
Di Mascio, P., Di Vito, M., Loprencipe, G., & Ragnoli, A. (2012). Procedure to determine the geometry of road alignment using GPS data. Procedia-Social and Behavioral Sciences, 53, 1202–1215.
Ekpenyong, F., Palmer-Brown, D., & Brimicombe, A. (2009). Extracting road information from recorded GPS data using snap-drift neural network. Neurocomputing, 73(1-3), 24–36.
Li, J., Qin, Q., Xie, C., & Zhao, Y. (2012). Integrated use of spatial and semantic relationships for extracting road networks from floating car data. International Journal of Applied Earth Observation and Geoinformation, 19, 238–247.
Sameen, M. I., & Pradhan, B. (2017a). A two-stage optimization strategy for fuzzy object-based analysis using airborne LiDAR and high-resolution ortho-photos for urban road extraction. Journal of Sensors.
Sameen, M. I., & Pradhan, B. (2017b). Assessment of the effects of expressway geometric design features on the frequency of accident crash rates using high-resolution laser scanning data and GIS. Geomatics, Natural Hazards and Risk, 8(2), 733–747. https://doi.org/10.1080/19475705.2016.1265012.
Sameen, M. I., & Pradhan, B. (2017c). A simplified semi-automatic technique for highway extraction from high-resolution airborne LiDAR data and orthophotos. Journal of the Indian Society of Remote Sensing, 45(3), 395–405. https://doi.org/10.1007/s12524-016-0610-5.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pradhan, B., Ibrahim Sameen, M. (2020). Novel GIS-Based Model for Automatic Identification of Road Geometry in Vector Data. In: Laser Scanning Systems in Highway and Safety Assessment. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-10374-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-10374-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-10373-6
Online ISBN: 978-3-030-10374-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)