RELATIONSHIP BETWEEN TRAFFIC PERFORMANCE MEASURES AND SIGNIFICANT VARIABLES WHICH INFLUENCE THE PERFORMANCE OF ATCS
ABSTRACT: Advanced Traffic
Control Systems (ATCS)
are recognised as
one of ITS
(Intelligent Transportation Systems) technologies that
have most potential
to ease congestion
problems in many
large cities in
developing countries. The application of
ATCS in developing
countries is unique
because cities in
developing countries face
more severe transportation problems
than those in
developed countries and
characterised by specific
geometric and traffic
local conditions, for examples: low road network densities with poor
conditions, narrow lane width, poor lane discipline, and level of side friction
in connection with on street parking and street vendor activities. A large road
network under ATCS surveillance in Bandung, Indonesia was used as a case study.
This study identified a large number of influencing factors which were then
used as input variables to determine their impact on the performance of an
ATCS. Multiple regression banalysis
was used to
investigate relationships between
traffic performance measures
i.e. throughput, queue
length, and travel time,
and these significant
variables. High technology
built in a
developed country can
be successfully implemented in
a developing country
if the specific
geometric and traffic
conditions in the
large cities and
the local traffic behaviour are
taken into account. By finding out the relationships between traffic
performance measures and the significant variables, appropriate improvements of
the performance of the ATCS in large city in developing country can be recommended.
The findings of
this study are
believed not only
beneficial to improve ATCS
performance and reduce traffic congestion in Bandung, but
also beneficial for other large cities in Indonesia and other developing
countries, that has similar specific local conditions.
Author: A. Caroline Sutandi
Journal Code: jptsipilgg080005
