ALTERNATIF PENGALIHAN LALULINTAS DI KAWASANUGM DENGAN DITUTUPNYA JALAN KALIURANG

Kaliurang Street is one of the streets with the heaviest traffic activity in Sleman District. The main cause is the growth of the northern part of Yogyakarta, it makes Kaliurang Street become the main connector in Sleman District. One of Kaliurang Street�s segment is located in the middle of UGM campus, which splits UGM campus into two parts, namely the west and the east. Besides giving the impression of disintegration between the two parts of UGM campus, the heavy traffic volume on Kaliurang Street also cause disturbance in teaching and learning. To overcome these problems, the idea to close the Kaliurang Street appears. However, the closing of Kaliurang Street�s segment will certainly cause another problem. Re-transportation planning is highly needed around UGM Campus so that the plan to close Kaliurang Street�s segment can be done. The study begins with road networks modeling in the existing condition. The basic map of road network is using Map Info 7.0 software to obtain the coordinates of the intersection and the length of road information. The traffic counting result in 2010 was converted into matrix of travel data using SATURN 9.2 software. Scenario implementation can be done after validation test using chi square formula claimed to have found the adjustment of the data field conditions with the data modeling results. Modeling traffic will then use the software EMME-2 to obtain data on road traffic volume and traffic speed that represents the traffic swift. Modeling ends when the entire road section has a degree of saturation below 80%. Scenario modeling after the closing segment of Kaliurang Street is the construction of fly over as the infrastructure for continuous traffic, the construction of UGM Ring Road as the infrastructure for internal traffic, and some scenarios of traffic management and engineering support to obtain degree of saturation below 80%. The construction of fly over, UGM Ring Road and several traffic management and engineering efforts succeed lower the average degree of saturation of 16.288% and increase the average of the traffic speed of 7.554%. In each of the modeling process, the increase of speed traffic flow and the decrease of degree of saturation value occur. They indicate the improvement from the previous model.