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The “Road Safety Information System(RSIS)” addressed in this paper differs from those active and real time systems in that it controls an artificial counter force at the active accelerator pedal before the vehicle actually enters the curve to limit the cornering speed. This study aims at detecting the dangerous section on the road and warning of entering the curve. To determine dangerous section, the quality and accuracy of Digital Road Map(DRM) is very important to calculate the curve fitting on the road. The curve detection algorithm and software, which were suggested by in this paper, with effective determination were designed and developed. As a result of the research, when this method were used to find curve section it showed similar results and performances between a highway and national road.

In this paper we present the concept of green routing or eco routing and how one would implement this using attributes defined in real time traffic information and digital road map. The routing referred to this paper applies mainly to road networks where one wants to get from point A to point B by minimizing the fuel consumed in a vehicle. The new model of speed profile prediction which yields stop and go speed at the start, end and zero of the acceleration under sub-node and link conditions is described. The results for the lowest fuel consumption show about 8.5% of simulated routes and 5% (9%) of vehicle test routes saving in fuel, when compared to that for the existing route planning course (recommended and short distance route), even traveling time about 10% longer time. These results clearly show prediction accuracy of fuel consumption between modeling and measurement is below the average about 12%.