The number of vehicles in the urban areas is rising at high pace. The critical issues are arising with the rise in the number of vehicles for the traffic analysis. The analysis of the vehicle running across the roads is usually done for the density analysis, traffic shaping and many other similar applications. The vehicle detection in the rushed areas produces the real challenge of independent ...

The paper describes the automatic motor vehicle video stream based classification system. The system determines vehicle type at payment collection plazas on toll roads. Classification is performed in accordance with a preconfigured set of rules which determine type by number of wheel axles, vehicle length, height over the first axle and full height. These characteristics are calculated using va...

vehicle crashes are amongst the major causes of mortality and results in losses of lives and properties. alarge number of the vehicle crashes occur on rural roads. accidents become more noteworthy in two-laneroads due to going and coming traffic. therefore, prediction of crashes and their causes are considerablyimportant to reduce the number and severity of the accidents. the safety index is a ...

A typical shadow-eliminating algorithm is presented in this paper. Algorithms for vehicle detection, edge detection and shadow detection are also given. If the shadow is not separated from the vehicle, the next traffic control processes, like vehicle classification, tracking and speed calculation, will be rather difficult. Our approach for shadow processing runs in real time in low-cost hardwar...

On a topographical map of civil engineering, there are various enclosed areas, for instance, rice fields, wild fields, buildings, roads, walls, regional boundaries and so on. Before a software system such as road planer is run, it is necessary to extract these various regions and features, and to transform them to 3D data. The automatic extraction and classification of all of them on a screen a...

Traditional multispectral classification based road extraction methods separate roads from other ground features according to spectral characteristics of individual pixels. To take use of the spatial properties of high-resolution satellite images, in this paper we integrate spectral information from the multispectral (MS) image with spatial information from the panchromatic (Pan) image for road...

This paper presents a method for road extraction from lidar data based on SVM classification. The lidar data are used exclusively to evaluate the potential in the road extraction process. First, the SVM algorithm is used to classify the lidar data into five classes: road, tree, building, grassland, and cement. Then, some misclassified pixels in the road class is removed using the road values in...

More than 60% of accidents in Iran occur within 30 kilometers of cities entrance roads. Therefore the number of accidents per kilometer in these regions, in contrast to the other parts of roads is very considerable. The city of Tehran, as the capital of Iran, is the cross point of major arterials of passenger and freight transportation. Thus the evaluation of road safety, entering and exiting t...