Abstract
Traffic congestion were occur when there are many vehicle for available road space.
Due to traffic congestion, that cause delay movement, stress and waste of time. In
Korea Highways, traffic congestion spots were define where vehicle speed fall below
30 km/h or continues longer than 2 hours a day. Hence, this study was study to
investigate the spatial temporal analysis on accident base on traffic congestion pattern.
The objective in this study which is to identify traffic congestion and accident
distribution, to study spatial temporal pattern of traffic congestion and to analyze the
traffic congestion factor on accident. All the objective achieved by using GIS
application. The method that was used in this study is hotspot analysis and
geostatistical analysis (time slider). This study were use secondary data that accident
data obtain from Polis Diraja Malaysia (PDRM) and traffic volume which is level of
services (LOS) data obtain from Jabatan Kerja Raya (JKR) Kedah.. The result in this
study was conducted to produce a map of spatial temporal analysis on accident base
on traffic congestion pattern in Kedah state. This result found that the accident cases
in Kedah really effect of level of services (LOS) of the road. So, this result can help
the police department and JKR to making a better analysis on the accident and traffic
congestion occur where the safety of community can be improved.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Mohd Fadzil, Fatin Hazwani UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems H Social Sciences > HE Transportation and Communications > Traffic engineering. Roads and highways. Streets > Traffic surveys H Social Sciences > HE Transportation and Communications > Traffic accidents |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Keywords: | Traffic congestion ; GIS (geographical information system) ; hotspot analysis ; geostatistical analysis |
Date: | December 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/22473 |
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