| Title |
Development of Vehicle Classification Method using Discriminant Function Based on Detection of Dual Tire |
| Keywords |
classification;detector;axle;dual tire;복륜;차종분류;타이어접지면적;2축 차량;사선센서 |
| Abstract |
Traffic volume is essential data for traffic control or maintenance and rehabilitation planning. The volume especially with respect to the type of vehicles can facilitate to those road operations. In this research, a method for vehicle classification was developed using skewed sensors which can generate traffic signatures. In order to characterize vehicle types, the method investigates whether the second axle of each vehicle consists of dual tires. The presence of dual tire is determined by the discriminate function obtained from discriminant analysis. The validation using 1,878 vehicles recorded from a highway using a CCTV camera indicated significantly accurate results: 96.92% for class 1, 82.91 % for class 3 and 79.13% for class 4. |