Abstract
Traffic congestion give causes by heavy traffic or pack of vehicle at the road that usually happened to urban area that connected with highway. Therefore Intersection of Jalan Paip is connected with Bandar Saujana Utama and usually while peak hour there is the traffic became heavy happen in every evening on every weekday nor weekend. This issue could be identify after realise the surrounding of road was connected with a big urban area which is Sungai Buloh. It will know was a central business district and connected road to other urban area such as Duke Highway, Guthere Highway and North South Highway. The goal of this study is to decrease traffic congestion issue in study area that causes by many of vehicle with manage the traffic countdown and that lead to cause of it. A set of data of respondent to 30 questionnaire was given to people who live in Bandar Saujana Utama and was installed using statically techniques. From the observation and the result show that the traffic was heavy based on the data from traffic counting to identify heaviness of traffic in study area. The data from questionnaire show majority local people use jalan paip intersection for various of reason and it connected with Highway.
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Muhammad Amiruddin, Azhari 2017205168 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Suharto, Teriman UNSPECIFIED |
Subjects: | T Technology > TE Highway engineering. Roads and pavements > Roads T Technology > TE Highway engineering. Roads and pavements > Roads > Malaysia T Technology > TE Highway engineering. Roads and pavements > Road and highway design T Technology > TE Highway engineering. Roads and pavements > Road and highway design > Malaysia T Technology > TE Highway engineering. Roads and pavements > Streets |
Divisions: | Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying |
Programme: | Diploma in Town and Regional Planning |
Keywords: | Traffic Congestions, Peak Hour, Heavy Traffic |
Date: | 2020 |
URI: | https://ir.uitm.edu.my/id/eprint/38435 |
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