IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.1, January 2009
Manuscript received January 5, 2009
Manuscript revised January 20, 2009
A GIS-based Traffic Control Strategy Planning at Urban
Mina Khalesian, Parham Pahlavani and Mahmoud Reza Delavar
Center of Excellence in Geomatics Eng. and Disaster Management, Dept. of Surveying and Geomatics Eng., College of
Eng., University of Tehran, Tehran, Iran
For having better and up to date traffic information access,
spatio-temporal GIS for transportation (TGIS-T) needs to interact
with the intelligent transport systems (ITS). Advanced traffic
management systems (ATMS) is one of the components of the
ITS and predicts traffic congestion and provides real time traffic
information and optimal control strategies for freeways and
arterials. ATMS needs automatic acquisition of
information such as traffic volume using different detectors. In
fact, the ideal condition for ATMS is the one in which all urban
intersections are equipped with these detectors, however, it
would not be possible in short time. So, the urban intersection
degree of importance recognition in order to consider the priority
as well as planning for detectors installation is one of the main
traffic control designers' challenges.
In this paper, an approach has been proposed and implemented to
measure each intersection degree of importance, considering the
impact of other network intersections using GIS capabilities,
dynamic traffic modeling and space syntax theory.
Tests of each intersection degree of importance for a part of
North-West of Tehran urban traffic network are conducted and
the results verified the efficiency of the proposed method and
support our strategy.
TGIS-T, ATMS, Space Syntax theory, Network analysis ere the
part of 4-5 keywords.
Decisions are often evaluated on the basis of quality of the
processes behind. It is in this context that geospatial