• 한국ITS학회:학술대회논문집
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• v.2007 no.10
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• pp.92-99
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• 2007

• Journal of the Korean Mathematical Society
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• v.34 no.3
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• pp.533-541
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• 1997

Unique factorization of 2-dimensional complete intersection is investiagted by using the determinant method introduced by D. Eisenbud.

• Proceedings of the KOR-KST Conference
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• 2007.05a
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• pp.208-217
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• 2007

• Proceedings of the KOR-KST Conference
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• 2007.05a
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• pp.247-256
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• 2007

• Proceedings of the KOR-KST Conference
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• 2007.05a
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• pp.257-266
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• 2007

• Proceedings of the KOR-KST Conference
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• 2007.05a
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• pp.593-599
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• 2007

• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.47-50
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• 2002

• Proceedings of the Optical Society of Korea Conference
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• 2006.07a
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• pp.199-200
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• 2006

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.3
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• pp.6-13
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• 2002

In this paper, we propose an image processing based method to measure red-time and green-time backward moving shockwave speed automatically at signalized intersections. Shockwave means the discontinuous boundary line between different vehicle traffic flows, and its moving speed is called shockwave speed which is obtain from the slope of boundary line. In this paper, we compose distance-time diagram for measuring shockwave speed automatically. By global vehicle tracking, we draw all of the vehicle moving path on distance-time diagram. We analyze the slope change pattern of curved moving path line, and compute red-time and green-time backward moving shockwave speed. We obtain the measurement result of shockwave speed, when applying above mentioned proposed method to experiment at signalized intersections, Once we can measure the shockwave speed, we could apply the result to highway ramp metering and automatic signal control at intersections effectively since we know the situation of frontal congestion easily.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.103-110
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• 2011

This study deals with the traffic accidents by type. The objectives are to analyze the characteristics of 2 accident types, and to develop the models by type. In pursuing the above, this paper gives particular attentions to testing the differences between by type two groups, and developing the models (Poisson and negative binomial regressions) using the data of domestic circular intersections. The main results are as follows. First, the number of accidents in vehicle vehicle was analyzed to account for about 73.41% of total and to be higher than vehicle people. Second, two Poisson models and two negative binomial models which were all statistically significant were developed using vehicle people accidents and vehicle vehicle accidents as dependant variables. Finally, the traffic volume as common variable was selected in the models, and right-turn slip lane, speed hump, the number of driveways, the number of pedestrian crossings as specific variables of the models were selected.