THE APPLICATION OF DYNAMIC SEGMENTATION FROM ROAD SAFETY ASPECT
DOI:
https://doi.org/10.24867/01DS05KrsmanovicKeywords:
Traffic safety, road, dynamic segmentationAbstract
Traffic safety analysis on the road network is an important task for the road authority. The paper presents the possibilities of applying dynamic segmentation from the aspect of road safety.
References
[1] Boroujerdian, A. M., Saffarzadeh, M., Yousefi, H., & Ghassemian, H. (2014). A model to identify high crash road segments with the dynamic segmentation method. Accident Analysis & Prevention, 73, 274-287.
[2] Cadkin, J. (2002). Understanding dynamic segmentation. ArcUser October-December, 40-43.
[3] Castro, M., Sánchez, J. A., Vaquero, C. M., Iglesias, L., & Rodríguez-Solano, R. (2008). Automated GIS-based system for speed estimation and highway safety evaluation. Journal of Computing in Civil Engineering, 22(5), 325-331.
[4] Chang, K. T. (2006). Introduction to geographic information systems (pp. 117-122). Boston: McGraw-Hill Higher Education.
[5] Elyasi, M. R., Saffarzade, M., & Boroujerdian, A. M. (2016). A novel dynamic segmentation model for identification and prioritization of black spots based on the pattern of potential for safety improvement. Transportation Research Part A: Policy and Practice, 91, 346-357.
[6] Kim, K., & Levine, N. (1996). Using GIS to improve highway safety. Computers, environment and urban systems, 20(4-5), 289-302.
[7] Mahmud, A. R., Sohadi, R. U. R., & Mansor, S. (1998). A GIS support system for road safety analysis and management. Pertanika Journal of Science and Technology, 6(1), 81-93.
[8] Steenberghen, T., Dufays, T., Thomas, I., & Flahaut, B. (2004). Intra-urban location and clustering of road accidents using GIS: a Belgian example. International Journal of Geographical Information Science, 18(2), 169-181.
[2] Cadkin, J. (2002). Understanding dynamic segmentation. ArcUser October-December, 40-43.
[3] Castro, M., Sánchez, J. A., Vaquero, C. M., Iglesias, L., & Rodríguez-Solano, R. (2008). Automated GIS-based system for speed estimation and highway safety evaluation. Journal of Computing in Civil Engineering, 22(5), 325-331.
[4] Chang, K. T. (2006). Introduction to geographic information systems (pp. 117-122). Boston: McGraw-Hill Higher Education.
[5] Elyasi, M. R., Saffarzade, M., & Boroujerdian, A. M. (2016). A novel dynamic segmentation model for identification and prioritization of black spots based on the pattern of potential for safety improvement. Transportation Research Part A: Policy and Practice, 91, 346-357.
[6] Kim, K., & Levine, N. (1996). Using GIS to improve highway safety. Computers, environment and urban systems, 20(4-5), 289-302.
[7] Mahmud, A. R., Sohadi, R. U. R., & Mansor, S. (1998). A GIS support system for road safety analysis and management. Pertanika Journal of Science and Technology, 6(1), 81-93.
[8] Steenberghen, T., Dufays, T., Thomas, I., & Flahaut, B. (2004). Intra-urban location and clustering of road accidents using GIS: a Belgian example. International Journal of Geographical Information Science, 18(2), 169-181.
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Published
2018-12-21
Issue
Section
Traffic Engineering
