Study on GIS based intelligence transportation

Jianda Zhu

School of Architecture & Urban Planning, Suzhou University of Science and Technology, 215009, China

Recently a vast amount of geographic information system (GIS) data make road networks around the world as polylines with attributes. In this form, the data are insufficient for applications such as simulation and 3D visualization—tools which will grow in power and demand as sensor data become more pervasive and as governments try to optimize their existing physical infrastructure. With the increased dissemination and computing power of mobile devices, it is now possible to execute distributed artificial intelligence applications for various situations: intelligent routing using algorithms, planning, is tribute optimization of traffic lights. This paper reports on our development of a GIS-based traffic network analysis system, named GIS-based Transport Decision Support System, which provides a graphical analysis platform to transportation planners and researchers for transportation network analysis. The system has the functions of designing traffic networks on digital maps and doing traffic equilibrium analysis, as well as a novel function to integrate local detailed structures of intersections into global networks. The latter is particularly useful for the analysis of large traffic network where the detailed local network structures of some intersections have to be taken into account. The system links great volumes of traffic data and geography information data accumulated for visualization traffic analysis. We added information data on the following: road structure data, zone geography information data and node geography information data. The system also enabled us to extract traffic data by road section and by specific condition.