PEMANFAATAN CITRA RESOLUSI TINGGI DAN VIDEO CCTV UNTUK PEMODELAN SPASIAL TINGKAT KEMACETAN LALULINTAS KOTA YOGYAKARTA

Traffic jam level of road is affected by road service level. The better road service level, the lower potential of traffic jam happen. Extraction parameter which is determining road service level can be obtained with used of high resolution remote sensing imagery and CCTV video. High resolution remote sensing imagery can be used in parameter extraction of land use and road geometry. While CCTV video is a new technology that can be used in parameter extraction of traffic volume. The method used is an integration between remote sensing techniques and an analysis using geographic information system. The method is used to determine the level of traffic jam at Yogyakarta City. The effectiveness of the high resolution image and video CCTV is compared with the situation in the field. The results indicate that the mapping accuracy of land use is 85,88 % and the mapping accuract of road width is 93,59 %. While every CCTV has different effectiveness to obtain traffic volume data. But as a whole CCTV video at few road is well to used in extraction of traffic volume data. Traffic jam Level in the study area have several classes from low potention until high potention and with spatial modeling can asist in determining the optimal route which consider traffic jam level potention factor