Advanced traffic management systems (ATMS) are recognised as one of the intelligent transport system (ITS) technologies that have most potential to ease congestion problems in many large cities in developing countries. 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 ATMS. Multiple regression analysis was used to investigate relationships between traffic performance measures and these significant variables. The evaluation of a wide range of recommendations was also examined in this study using traffic simulation. The results of the evaluation found that the recommendations significantly increased the performance of the ATMS. It was found that restricted number of phases and number of movements at selected intersection increased traffic flow by 78 per cent and decreased queue length by 55 to 77 per cent. Furthermore, following simple road design guidelines were also found to have a substantial impact by influencing driver behaviour. The findings of this study are believed to be applicable not only to Bandung, but also beneficial for other large cities in Indonesia and other developing countries. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E214133.
Samenvatting