TY - GEN
T1 - Detection of nuclear material at border crossings using motion correlation
AU - Nicol, David M.
AU - Tsang, Rose
AU - Ammerlahn, Heidi
AU - Johnson, Michael
PY - 2006
Y1 - 2006
N2 - This paper considers the problem that arises when a vehicle carrying nuclear material is detected approaching a border crossing. As quickly as possible, and with automation we wish to identify which vehicle among all those in the area is likely to be carrying the source. We show that if the border crossing area has technology for tracking the position of vehicles, we can correlate observed movements with observed changes in levels of detected radiation-for as the vehicle carrying the material gets closer to the detector, the stronger will be the detected radiation. We use a simulation model that captures the stop-and-go dynamics of a border crossing area to evaluate our ideas, and find a highly successful technique that tracks which vehicles move just when detected radiation changes, coupled with fitting radiation intensity/distance observations to an inverse-square law. This method almost always isolates the sought vehicle just as soon as the minimum number of data observations is obtained.
AB - This paper considers the problem that arises when a vehicle carrying nuclear material is detected approaching a border crossing. As quickly as possible, and with automation we wish to identify which vehicle among all those in the area is likely to be carrying the source. We show that if the border crossing area has technology for tracking the position of vehicles, we can correlate observed movements with observed changes in levels of detected radiation-for as the vehicle carrying the material gets closer to the detector, the stronger will be the detected radiation. We use a simulation model that captures the stop-and-go dynamics of a border crossing area to evaluate our ideas, and find a highly successful technique that tracks which vehicles move just when detected radiation changes, coupled with fitting radiation intensity/distance observations to an inverse-square law. This method almost always isolates the sought vehicle just as soon as the minimum number of data observations is obtained.
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U2 - 10.1109/WSC.2006.323127
DO - 10.1109/WSC.2006.323127
M3 - Conference contribution
AN - SCOPUS:46149101012
SN - 1424405017
SN - 9781424405015
T3 - Proceedings - Winter Simulation Conference
SP - 536
EP - 544
BT - Proceedings of the 2006 Winter Simulation Conference, WSC
T2 - 2006 Winter Simulation Conference, WSC
Y2 - 3 December 2006 through 6 December 2006
ER -