| Summary: | Nowadays urban transportation problems have becoming complex. The high
degree of urbanization and economic growth has contributed to the increase in
vehicle ownership, which also resulted in an increase in traffic density. Density of
traffic flow may cause additional costs, delay, congestion, and increase air and
noise pollution. Recent development shows that the technique of planning and
transportation management is strongly related with the development of computer
technology, both hardware and software. Geographic Information System (GIS) as
a piece of software makes it possible to do network analysis (network analysis) of
the road.
The method which is often used for analysis in a GIS is the scoring method
and fuzzy method. Both of these methods can be used to build model and provide
interpretation from the combination of several parameters for particular purpose.
This research uses three parameters, i.e. distance, width, and volume to get the
velocity value of vehicle on a road. The obtained velocity value will be converted
into value of travel time and then be used as weight in graph (digital maps). When
all the roads on the map are weighted, then the process of finding the fastest route
based on time can also be done by using Dijkstra algorithm.
This research has conducted 20,083 tests of possible origin-destination
options. It is found that there is no difference between the scoring method and
fuzzy method for the parameter of distance. It means both the scoring method and
the fuzzy method select the route with closer distance. For the parameter of width,
the system with fuzzy method prefers to select the route with a wider road
compare to the system with the scoring method. For the parameter of volume, the
system with fuzzy method prefers to select the road with more vehicle volume
compare to the system with scoring method
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