Abstract
In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology and VRS-GPS positioning technology to record the traffic accidents with Geo-spatial information. Based on the spatial relationship between traffic accidents and road network elements, two-way association relationship is defined by spatial relationship computation. Then the paper presents the method which takes the potential of reducing accidents as an index to extract the black spots. Finally, in the discussion, the association relationship between black spots and traffic attributes is used to analyze the factors that resulting in traffic accidents.
Highlights
With the rapid development of our national economy, the issue of traffic safety becomes increasingly prominent, and has attracted widespread attention
Traffic accidents are rich with spatial information
It is easy to utilize GIS to determine the road network element one which each traffic accident occurred, and how many accidents occurred on each road network element
Summary
With the rapid development of our national economy, the issue of traffic safety becomes increasingly prominent, and has attracted widespread attention. Especially the US and Western Europe, GIS technology has been widely applied to urban traffic information management. In China research into the area of GIS technology applications in traffic safety were started rather late. The public transport information system developed by the Ministry of Public Security is representative of domestic traffic safety systems and it is not completely combined with GIS. The research groups in Jilin University and Tongji University have held discussions about project level traffic safety evaluation information systems based on GIS. The domestic research and application of traffic accident information systems based on GIS is still in its infancy and a lot of problems need to be solved. It is firstly discussed about how to utilize GIS technology to locate the traffic accidents that are described as address with text in the road network. The reasons for the accident-prone spots are detected, which helps provide support for decisions about traffic safety
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