1 |
Park, M.H., Relationship between interstate highway accidents and heterogeneous geometrics by random parameter negative binomial model: A case of interstate highway in Washington State, USA, J. Korea Soc. of Civil Eng., 2013, Vol. 33, No. 6, pp. 2437-2445.
DOI
|
2 |
Chen, T. and Guestrin, C., XGBoost: A Scalable Tree Boosting System, KDD'16, 2016, pp. 785-794.
|
3 |
Im, J.B., Development of Accident Frequency Estimation Models Using Random Parameter, University of Seoul, 2015.
|
4 |
Jeong, Y.H. and Choi, Y.W., A study on the analysis of urban highways traffic accident's impact factors based on building discriminant models: Busan Metropolitan City, KSCE Journal of Civil and Environmental Engineering Research, 2014, Vol. 34, No. 4, pp. 1269-1278.
|
5 |
Korea Meteorological Agency Data Open Portal, http://data.kma.go.kr.
|
6 |
Korea Ministry of Construction and Transportation, Plan Intersection Design Guidelines, 2004.
|
7 |
Korea National Transport Information Center, http://its.go.kr.
|
8 |
Korea Traffic Accident Analysis System, http://taas.koroad.or.kr.
|
9 |
Korean National Police Agency, http:// police.go.kr.
|
10 |
Lee, S.H., Park, M.H., and Woo, Y.H., A study on developing crash prediction model for urban intersections considering random effects, The Journal of The Korea Institute of Intelligent Transport Systems, 2015, Vol.14, No.1, pp. 85-93.
DOI
|
11 |
Lundberg, S.M. and Lee, S.I., A Unified Approach to Interpreting Model Predictions, Advances in Neural Information Processing Systems, 2017, 30.
|
12 |
Oh, H. U., Correlation between design consistency and accident rates based on standard deviations of highway design elements, International Journal of Highway Engineering, Vol.11, No.2, 2009, pp. 159-166.
|
13 |
Ryu, J.D., Development of Expressway Traffic Accident Prediction Model Using Deep Learning, University of Ajou, 2018.
|
14 |
Kang, Y.O., Son, S.R., and Cho, N.H., Analysis of traffic accidents injury severity in seoul using decision trees and spatiotemporal data visualization, Journal of Cadastre & Land InformatiX, 2017, Vol. 47, No. 2, pp.233-254.
DOI
|
15 |
United States Geological Survey, https://earthexplorer.usgs.gov.
|
16 |
Lee, K.J., Jung, I.G,. Noh, Y.H., Yoon, S.G., and Cho, Y.S., The effect of road weather factors on traffic accident: Focused on Busan area, Journal of the Korean Data and Information Science Society, 2015, Vol. 26, No. 3, pp. 661-668.
DOI
|
17 |
Cho, N.H., Jun, C.M., and Kang, Y.O., A visualization of traffic accidents hotspot along the road network, Journal of Cadastre & Land InformatiX, 2018, Vol.48, No.1, pp. 201-213.
DOI
|
18 |
Kang, Y.G., Traffic Accident Frequency Prediction Model in Urban Signalized Intersections with Intelligent Theories, University of Seoul, 2008.
|