The paper is written based on research on 'Dynamic Origin-Destination Matrices From Real Time Traffic Count Information' completed in March 2001. The latest development in automatic traffic count data collection enables us to obtain the traffic count information in real time or short-time-interval basis. For example, ATCS (Area Traffic Control System) already installed in several large cities in Indonesia, such as: DKI-Jakarta (1994), Bandung (1997), and Surabaya (199B) provided us the short-time-interval traffic count information for all signalised intersections. This traffic data is updated periodically in a short-time-interval basis (e.g., 5,15, or 30 minute time interval). This information is provided at the Traffic Control Centre (TCC) of ATCS project and can be directly and easily accessed at a very low cost through the Internet or a telephone line. This data is the main input for the short-time-interval OD matrix estimation. Before this traffic data is used in the OD matrix estimation process; firstly, these data have to be processed in the Data Processing lnterface (DPI). Having it processed; the traffic data will then be ready for estimating the short-time-interval OD matrices. The output of short-time-interval OD matrices together with several practical applications will be the main input for the Real Time Integrated Traffic Information System (RITIS). This information will be stored in a Website designed specifically and informatively for the purposes of user needs (numerical and graphical). This short-time-interval traffic system information will become the public-domain information which can be directly and freely accessed through the Internet by the users (e.g., planning authorities, traffic authorities, Department of Public Works, consultants, police, drivers, radio stations, and TV stations, and other related agencies, etc.). One of the most important information is the best routes from each origin zone to each destination zone which have already considered the effect of congestion. This information will be the main data for the development of the Route Guidance System (RGS) so that each driver can choose his best route through the road network. The best route information will be changed in a short-time-interval basis depending on the traffic condition. Moreover, this approach can also be extended to provide the short-time-interval environmental information. The system has been tested and validated in Bandung and it showed remarkably good results for Bandung condition. (Author/publisher).
Abstract