| dc.description.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
analysis 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. | en_US |
