Geographic Information System For Mapping Potential of Traffic Congestion (Case Study : Setiabudi Street - Perintis Kemerdekaan Street, Semarang City)

被引:0
|
作者
Bashit, Nurhadi [1 ]
Wijaya, Arwan Putra [1 ]
Prasetyo, Yudo [1 ]
机构
[1] Fac Engn, Remote Sensing & Photogrammetry Lab, Geodesy Engn Dept, Jl Prof Soedarto SH, Semarang 50277, Central Java, Indonesia
来源
3RD INTERNATIONAL CONFERENCE OF INDONESIA SOCIETY FOR REMOTE SENSING (ICOIRS 2017) | 2018年 / 165卷
关键词
Traffic congestion; GIS; Clustering;
D O I
10.1088/1755-1315/165/1/012020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rapid population growth in major cities Indonesia causes transportation problems such as traffic congestion. This happens because the rapid population growth rate is not balanced by the development of road infrastructure. Unbalanced transportation growth with road construction causes traffic congestion such as in Setiabudi Street, Semarang City. One solution related to traffic congestion and traffic accident is the need for policy related to traffic arrangement. Therefore, we need accurate data and an integrated information system between the factors causing the traffic congestion with spatial data. So this research purpose is creating the map of potential traffic congestion. Field surveys were conducted by collecting information on road conditions, volume of transportation and the causes of traffic congestion in each segment of the road. The results of the survey were analyzed by Geographic Information System (GIS) using clustering method to make the potential map of traffic congestion. The analysis of this study resulted in the conclusion that the intersection of Sukun to the inner direction of the city experiencing traffic congestion along 600 meters while the intersection that does not experience traffic congestion is at the intersection of Ngesrep.
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页数:8
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