Open Access
Issue
MATEC Web Conf.
Volume 325, 2020
2020 8th International Conference on Traffic and Logistic Engineering (ICTLE 2020)
Article Number 01005
Number of page(s) 6
Section Design and Development of Traffic Information System
DOI https://doi.org/10.1051/matecconf/202032501005
Published online 22 October 2020
  1. Chen Yuefei. Development of identification and analysis system for dangerous highway sections based on ArcGIS [D]. 2015 [Google Scholar]
  2. Shen feimin. Road traffic safety. Beijing Machine Press, 2007:219-25 [Google Scholar]
  3. Wu xiuxu et al. Application and practice of ArcGis9 geographic information system [M]. Beijing: Tsinghua University Press, May 6, 2007 [Google Scholar]
  4. Xiong Li. Research on identification of traffic accident hot area and analysis method of hot area cause based on ArcGIS [D] [Google Scholar]
  5. Besharati, M.M., Tavakoli Kashani, A., Li, Z., Washington, S., & Prato, C.G. (2020). A bivariate random effects spatial model of traffic fatalities and injuries across Provinces of Iran. Accident Analysis & Prevention, 136, 105394. Doi:10.1016/j.aap.2019.105394 [Google Scholar]
  6. Ramón Díaz-Uriarte, Sara Alvarez de andrés. Gene selection and classification of microarray data using random forest[J]. Bmc Bioinformatics, 2006, 7(1):3-0. [Google Scholar]
  7. MOONS E. etal Identifying hazardous road locations: Hot spots versus hot zones[J]. Trans. Computational Science, 2009, 6: 288-300. [Google Scholar]
  8. Huang, H., Song, B., Xu, P., Zeng, Q., Lee, J., & Abdel-Aty, M. (2016). Macro and micro models for zonal crash prediction with application in hot zones identification. Journal of Transport Geography, 54, 248-256. Doi:10.1016/j.jtrangeo.2016.06.012 [Google Scholar]
  9. Noland, R.B., Quddus, M.A., 2005. Congestion and safety: a spatial analysis of London.Transport. Res. A 39, 737-754 [Google Scholar]
  10. Yang K, Yu R, Wang X, et al. How to determine an optimal threshold to classify real-time crash-prone traffic conditions?[J]. Accident Analysis & Prevention, 2018, 117(AUG.):250-261. [Google Scholar]

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