A Study on Development of Systems to Enforce the interfering Cars on the Ramp
Ho-Won Lee, Cheol-Seung Hyun, Doo-Hwan Joo, Jun-Ha Jeong, Choul-Ki Lee · The Journal of The Korea Institute of Intelligent Transport Systems · 2012
Abstract We frequently confront with cars interfering into our lane on the ramp. We suffered from serious traffic congestion due to the interfering cars. But the police enforcement has not done actively because it's hard to enforce. In this study, we have evaluated the systems to enforce cutting-in cars through the field test. Generally, the image processing method depends on the weather. To overcome this limitation we proposed a new algorithm combined with section detection method. In the filed test we concluded the results as follows. Whereas the violation detection rate of the general image processing was 58.2%, a new algorithm proposed by this study was 74.5%. And, an error rate enforcing vehicles that do not violate was 0.0%. Also, we can use the existing facilities, such as street light because of compact and lightweight systems which are integrated camera with controller. Therefore, we concluded that it is possible to enforce the interfering Cars using vehicle enforcement systems.Key words : Voilation detection rate, Enforcement System, Image processing * 주저자 : 도로교통공단 교통과학연구원, 선임연구원 ** 공저자 : 도로교통공단 교통과학연구원, 선임연구원 *** 공저자 : 도로교통공단 교통과학연구원, 책임연구원 **** 공저자 : 도로교통공단 교통과학연구원 교통공학연구실장 ***** 공저자 및 교신저자 : 아주대학교 건설교통공학부 교수†논문접수일 : 2012년 8월 8일†논문심사일 : 2012년 8월 20일†게재확정일 : 2012년 8월 23일