Identification of black spot on traffic accidents and its spatial association analysis based on geographic information system | IEEE Conference Publication | IEEE Xplore

Identification of black spot on traffic accidents and its spatial association analysis based on geographic information system


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 ge...Show More

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 to make the traffic accidents with 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 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 analyzed to pick up the factors of inducing traffic accidents.
Date of Conference: 26-28 July 2011
Date Added to IEEE Xplore: 19 September 2011
ISBN Information:

ISSN Information:

Conference Location: Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Key Lab of Modern Engineering Surveying, SBSM, Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Shanghai, China

I. INTRODUCTION

With the rapid development of our national economy, traffic safety issue becomes increasingly prominent, which has attracted widespread attention. Data mining in traffic accidents, which helps to find the hidden knowledge and rules has become an important research area in traffic safety. Currently, most of the traffic information analysis is limited to general statistical analysis, which is hard to explore the rules hiding in traffic accident information. Also, they do not have the capability of map displaying and spatial analysis, so as not be able to find the spatial distribution characteristic and relationship between traffic accidents and road network elements[1]. In recent years, GIS has been developed rapidly and used broadly in the field of traffic safety. In the developed countries, especially US and Western Europe, GIS technology has been applied to urban traffic information management widely. However, in our country, researches of GIS technology application in traffic safety area were started rather late. The public transport information system developed by the Ministry of Public Security is representative in domestic traffic safety systems and it is even not combined with GIS totally. The research groups in Jilin University and Tongji University have made discussion about project level traffic safety evaluation information system based on GIS. In the meantime, some domestic universities and research institutions have also made a lot of researches of applying GIS technology to traffic safety area[2] [3]. Anyway, domestic research and application of traffic accident information system based on GIS is still in the infancy and a lot of problems need to be solved. In the paper, it is firstly discussed how to utilize GIS technology to locate the traffic accidents which are described as address with text in road network. Secondly, based on the spatial relationship between traffic accidents and road network elements, black spots are extracted. At last, the reasons for the accident-prone spots are detected, which helps to provide decision supports for traffic safety.

Department of Surveying and Geo-informatics, Tongji University, Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Key Lab of Modern Engineering Surveying, SBSM, Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Shanghai, China
Department of Surveying and Geo-informatics, Tongji University, Shanghai, China

Contact IEEE to Subscribe

References

References is not available for this document.