References
- Cho S. J. and Kang S. H.(2016), "Industrial Applications of Machine Learning," Industrial Engineering Magazine, vol. 23, no. 2, pp.34-38.
- Cho Y. T.(2016), Development of an Estimating Method for the Parameters of Volume Delay Functions Using a Genetic Algorithm, Doctoral thesis, Ajou University.
- Gailbo, http://www.gailbo.com, 2018.07.21.
- Deniz O. and Celikoglu H. B.(2011), "Overview to some existing incident detection algorithms: a comparative evaluation," Procedia-Social and Behavioral Sciences, vol. 2, pp.153-168.
- Hall F. L., Shi Y. and Atala G.(1991), "On-Line Testing of the McMaster Incident Detection Algorithm Under Recurrent Congestion," Transportation Research Record, no. 1394, pp.1-7.
- Jang M. S.(2018), Classifier Integration Model with Naive Bayes Classifier, Master thesis, Myongji University.
- Jeong H. R.(2018), Study on Prediction of Severities of Rental Car Traffic Accidents Using Ordinal Logit Model and Naive Bayes Classifier, Master thesis, Ajou University.
- Kim S. G. and Kim Y. C.(2006), "Development of Incident Detection Algorithm Using Speed-Occupancy Relationship," Seoul City Studies, vol. 7 no. 3, pp.235-249.
- Kim S. G., Kim C. H. and Kim Y. C.(2008), "A Sensitivity Test of McMaster Algorithm Depending on the Changes in Parameter Values," Seoul City Studies, vol. 9, no. 2, pp.121-131.
- Kim S. H.(1999), "A Development of Neural Networks-based Incident Detection Model," Journal of Engineering & Technology, Hanyang University, vol. 8, no. 1, pp.187-196.
- Kim S. H., Kim J. H., Doo M. S., Byun W. H., Sin A. G., Yun Y. H., Lee Y. T., Lee J. B. and Chun S. H.(2016), Road Traffic ITS Theory and Design, Cheongmoongak, pp.108-109.
- Ko S. G., Kwon C. W., Kim T. S., Cho W. S. and Yun I. S.(2017), "Study on Performance Evaluation of Magnetometer Detectors," Journal of The Korea Institute of Intelligent Transport Systems, vol. 2017, no. 10, pp.63-67.
- Korea Road Traffic Authority(2018), Traffic accident statistics.
- Korea Transport Institute(2010), Study on the Collection and Provision of Traffic Information on Highway.
- KOROAD(2014), "Central Traffic Information Center Traffic Information," KOROAD Traffic Science Institute, pp.8-17.
- Lee D. H.(2017), A study on Hotspot Identification using Machine Learning, Master thesis, University of Seoul.
- Lee J., Kim B. K. and Kim S. H.(2000), "A Study on the Application of the Interrupted Traffic Flow Incident Detection Algorithm using Fixed Detector," Journal of Korean society of Transportation, vol. 4, pp.33-36.
- Lee S. H. and Kang H. C.(2003), "Development and Evaluation of New Incident Detection Algorithm," Journal of Korean society of Transportation, vol. 44, pp.1-6.
- Mak C. L. and Fan H. S.(2005), "Transferability of expressway incident detection algorithms to Singapore and Melbourne," Journal of transportation engineering, vol. 131, no. 2, pp.101-111. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:2(101)
- Philip H. M., Joseph K. L. and Kam W.(1991), "Incident Detection Algorithms for COMPASS An Advanced Traffic Management System," Vehicle Navigation and Information Systems Conference, vol. 2, pp.295-310.
- Rakha H., Hellinga B. and Van Aerde M.(1999), "Testbed for Evaluating Automatic Incident Detection Algorithms," In Intelligent Transportation System Safety and Security Conference.
- Sun D., Zhang C., Zhao M., Zheng L., Liu W.(2017), "Traffic Congestion Pattern Detection Using an Improved McMaster Algorithm," 2017 29th Chinese Control And Decision Conference, pp.2814-2819.
- Yang C., Miao Z. and Dongyuan Y.(2015), "Automatic Incident Detection for Urban Expressways Based on Segment Traffic Flow Density," Journal of Intelligent Transportation Systems, vol. 19, pp.205-213. https://doi.org/10.1080/15472450.2014.977046
- Yun I. S., Han E., Lee C. K., Rho J. H., Lee S. J. and Kim S. B.(2013), "Mobility and Safety Evaluation Methodology for the Locations of Hi-PASS Lanes Using a Microscopic Traffic Simulation Tool," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 12, no. 1, pp.98-108. https://doi.org/10.12815/kits.2013.12.1.098
Cited by
- Automatic Classification Model of Electronic Documents Based on Machine Learning for Job Analysis vol.17, pp.7, 2018, https://doi.org/10.14801/jkiit.2019.17.7.23
- SNS 기반 여론 감성 분석 vol.6, pp.1, 2018, https://doi.org/10.17703/jcct.2020.6.1.111
- IDM을 이용한 자율주행자동차 시장점유율 변화가 고속도로 교통류에 미치는 영향 분석 vol.20, pp.4, 2018, https://doi.org/10.12815/kits.2021.20.4.13