References
- 경찰청(2004), 교통사고통계분석
- Xu, F., Liu, X., and Fujimura, K. (2005), 'Pedestrian Detection and Tracking with Night Vision', IEEE Transaction on Intelligent Transportation Systems, Vol. 6(1), pp.63-71 https://doi.org/10.1109/TITS.2004.838222
- Tilp, J. et al.(2005), 'Pedestrian Protection based on Combined Sensor System', Proceeding of Enhanced Safety Vehicle (ESV) Conference, Paper number 05-0156, pp.217-222
- Fang, Y. et al.(2004), 'A Shape Independent Method for Pedestrian Detection with Far- Infrared Images', IEEE Transaction on Vehicular Technologies, Vol. 53(6), pp.1679-1697 https://doi.org/10.1109/TVT.2004.834875
- Garder, P.(2004), 'The Impact of Speed and Other Variables on Pedestrian Safety in Maine. Accident Analysis and Prevention', Vol. 36, pp.533-542 https://doi.org/10.1016/S0001-4575(03)00059-9
- Davis, G.(2001), 'Relating Severity of Pedestrian Injury to Impact Speed in Vehicle-Pedestrian Crashes', In Transportation Research Record 1773, TRB, National Research Council, Washington, D.C., pp.108-113 https://doi.org/10.3141/1773-13
- Lefler, D., and H. Gabler(2004), 'The Fatality and Injury Risk of Light Truck Impacts with Pedestrians in the United States. Accident Analysis and Prevention', Vol. 36, pp.295-304 https://doi.org/10.1016/S0001-4575(03)00007-1
- Ballesteros, M., P. Dischinger, and P. Langenberg (2004), 'Pedestrian Injuries and Vehicle Type in Maryland, 1995-1999. Accident Analysis and Prevention', Vol. 36, pp.73-81 https://doi.org/10.1016/S0001-4575(02)00129-X
- Mussone, L., A. Ferrari, and M. Oneta(1999), 'An Analysis of Urban Collisions using an Artificial Intelligence Model. Accident Analysis and Prevention', Vol. 31, pp.705-718 https://doi.org/10.1016/S0001-4575(99)00031-7
- Abdelwahab, H., and M. Abdel-Aty(2001), 'Development of Artificial Neural network Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections', In Transportation Research Record 1746, TRB, National Research Council, Washington, D.C., pp.6-13 https://doi.org/10.3141/1746-02
- Abdulhai, B., and S.G. Ritchie(1999), 'Enhancing the Universality and Transferability of Freeway Incident Detection using a Bayesian-based Neural Network', Transportation Research Part C, Vol. 7(5), pp.261-280 https://doi.org/10.1016/S0968-090X(99)00022-4
- Jun, X., R.L. Cheu, andD. Srinivasan(2002), 'Development and Adaptation of constructive Probabilistic Neural Network in Freeway Incident Detection', Transportation Research Part C, Vol. 10(2), pp.121-147 https://doi.org/10.1016/S0968-090X(01)00007-9
- Abdel-Aty, M., and A. Pande(2004), 'Classification of Real-time Traffic Speed Patterns to Predict Crashes on Freeways', Presented at the 83rd annual meeting of Transportation Research Board, Washington, D.C
- Oh, C., J. Oh, S.G. Ritchie (2005), 'Real-time Hazardous Traffic Condition Warning System: Framework and Evaluation', IEEE Transactions Systems, Vol. 6, no.3, pp.265-272
- Hair, J. F.(2003), 'Multivariate Data Analysis, Pearson Education'
- Specht, D.F. (1996), 'Probabilistic neural networks and general regression neural networks. In: Chen, C.H. (Ed.), Fuzzy logic and neural network handbook'
- Wasserman, P.D.(1993), 'Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York'