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Extraction of Road Network Geometric Features from Trajectory Data of Vehicles

Author: LiXiaoJie
Tutor: LiXiang
School: East China Normal University
Course: Cartography and Geographic Information Systems
Keywords: Vehicle trajectory data Road network Geometrical Feature Extraction Refinement Direction
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 99
Quote: 0
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Abstract


Electronic map data is widely used in vehicle navigation systems, intelligent transportation systems has become an increasingly important data, road network data is an important part of the electronic map data. Update the road network increasingly accelerated and increasingly spend a lot of manpower and resources by actual measurement of the road network data update case studies, from a variety of data sources to extract the road network gradually become the focus of research at home and abroad, the geometric characteristics of the road network extraction study is one of them. Existing research data from remote sensing images, airborne LIDAR data extraction, there is little research to extract the geometric characteristics of the road network from the vehicle trajectory data. Vehicle trajectory data described in a wealth of information, including position information, time information, speed information, direction information, and so on, through the trajectory data of the vehicle data mining vehicle in a traveling behavior analysis, from the driving behavior of the vehicle can obtain the vehicle position and road network association, Moreover, compared with the above two types of data, the majority of the track data of the vehicle data recording \Therefore, the vehicle trajectory data should be used as a complementary the transportation field research data. In this paper, for the study of geometric features extracted from the vehicle trajectory data in road network content. Defined herein, a data model of the road network of geometrical characteristics. Vehicle trajectory data characteristics and the characteristics of the road network, the proposed extraction method based on the refinement of geometric characteristics of the road network. The main steps of the method comprising: a representative vehicle track segment selector, the road network in digital images and the direction data generation, digital image refinement, the refinement of the results of treatment, the road network of geometric features extracted road network centerline generating. Digital image refinement method aspect, after the characteristics of the consolidated existing thinning algorithm and road network raster image using the three kinds of prior refinement algorithm, and after in the thinning process according to the digital image for each pixels in the direction of the vehicle trajectory point subsequent treatment, delete the inconsistent pixel linear elements of the trend and the direction of the pixel. Grid lines tracking process to refine the results of vectorization road network geometry features extracted. Shanghai taxi trajectory data, experimental data source. The experiments proved the effectiveness of the process of the proposed method. Experiments vectorization process this method results with ArcGIS vector tools results compared Although this method is not as good as in the refinement of the results, road network topology ArcGIS vector tools, but the two vector methods are used in this article by vehicle trajectory segment trajectory data semantics screening and generate a high quality road network raster image article for vehicle trajectory data for the road network geometry feature extraction and laid the foundation.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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