1 |
경찰청(2004), 교통사고통계분석
|
2 |
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
DOI
ScienceOn
|
3 |
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
DOI
|
4 |
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
DOI
ScienceOn
|
5 |
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
DOI
|
6 |
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
|
7 |
Wasserman, P.D.(1993), 'Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York'
|
8 |
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
DOI
ScienceOn
|
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
DOI
|
10 |
Specht, D.F. (1996), 'Probabilistic neural networks and general regression neural networks. In: Chen, C.H. (Ed.), Fuzzy logic and neural network handbook'
|
11 |
Garder, P.(2004), 'The Impact of Speed and Other Variables on Pedestrian Safety in Maine. Accident Analysis and Prevention', Vol. 36, pp.533-542
DOI
ScienceOn
|
12 |
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
|
13 |
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
DOI
ScienceOn
|
14 |
Hair, J. F.(2003), 'Multivariate Data Analysis, Pearson Education'
|
15 |
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
|
16 |
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
DOI
ScienceOn
|
17 |
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
DOI
ScienceOn
|