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윤덕근,성정곤,김홍상 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.4
In order to evaluate road safety and manage roads, highway geometric information is necessary. Most highway geometric information is acquired from drawings; however, highway drawings are not always available and even when highway drawings are available, they may not match actual conditions due to subsequent overlay or rehabilitation of the road. To acquire road information for such sections, generally Global Positioning System (GPS) measurement or total station has been used, but this approach is not only highly time-consuming but is also risky, as it involves taking measurements on a road that has moving traffic.Therefore, the Korea Institute of Construction Technology (KICT) developed a survey vehicle, several sensors such as GPS and Inertial Navigation System (INS). The survey vehicle can acquire the positional and attitude data of the vehicle rapidly through the sensors. In this research, a horizontal analysis algorithm, which can analyze highway horizontal geometric information, was developed using the positional and attitude data from the survey vehicle. The algorithm includes the ability to distinguish between tangent and curve sections and can extract highway horizontal geometric information such as transition curve parameters, circular curve radii, center coordinates, and length. The algorithm was applied to the field for verification.
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윤덕근,성정곤,이상화,정동훈 한국도로학회 2006 한국도로학회논문집 Vol.8 No.2
This research introduces the method to measure cross-slope using Road Safety Survey and Analysis Vehicle(RoSSAV) with multiple sensors. Cross-slope is an important element like horizontal alignment and vertical alignment in evaluating safety of the roads. In many cases, cross-slope is different from drawings due to frequent overlays. It is extremely difficult to measure cross slope at the roads which has huge traffic volume. Therefore, the algorithm, which can be used when driving the RoSSAV with GPS/INS and Laser Scanner sensors was developed for measuring the cross-slop.Also, in order to examine the algorithm, the superelevation was measured by Laser Scanner and GPS/INS system during travelling and the result was verified by statistical verification.