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In this paper, a modified k-nearest neighbor (k-NN) method integrating the cluster analysis and principal component analysis is applied to bus arrival time (BAT) prediction using historical bus GPS data. The methodology of the k-NN method based on processed GPS data is presented. To validate the introduced k-NN approach, empirical analysis based on data collected from the bus No. 16 of Beijing public...
The bus crew scheduling problem (BCSP) is to assign drivers and conductors to daily crew duties that cover a set of schedules for buses of a public bus company during a period of time, e.g., a week. By combining case-based reasoning (CBR) and rule-based reasoning (RBR), this paper introduces the design and implementation of a bus crew scheduling system (BCSS). The current system works like this. Firstly,...
We present a recognition-driven navigation system for large-scale 3D virtual environments. The proposed system contains three parts, virtual environment reconstruction, feature database building and recognition-based navigation. The virtual environment is reconstructed automatically with LIDAR data and aerial images. The feature database is composed of image patches with features and registered location...
We present a retrieval-based tracking system that requires less computational time and cost. The system tracks a user's location through a small portion of an image captured by the camera, and then refines the camera pose by propagating matchings to the whole image. Augmented information such as building names and locations will be delivered to the user. The progressive way to process image data not...
With the rapid development of wireless location technologies, mobile terminals as probes have been regarded as a feasible and low cost method for real-time and wide-area city traffic information collection. If mobile probes deployed in the suburban areas, it will be a feasible supplementary way of real-time traffic information collection in China. This paper tries to investigate map matching problem...
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