Paper
5 November 2008 Urban traffic safety analysis and assessment system based on GIS: system design, key techniques and implementation strategy
Peijun Du, Jianzhong Pei, Xiaowei Chen, Zhigang Yan
Author Affiliations +
Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71442U (2008) https://doi.org/10.1117/12.812852
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
As the most important technical support to digital transportation and intelligent transportation system (ITS), Geographical Information System (GIS) has become an important tool for traffic safety assessment, management and accident prevention. In this paper, the key techniques, system design method and implementation strategy of Traffic Safety Analysis and Assessment System (TSAAS) is investigated based on the integration of GIS and traffic safety models. TSAAS takes road segment as basic units and uses node sets and directed edge sets to describe road network. Event driven spatial data model is adopted to organize information about traffic accidents in order to link accidents with road network data. In order to solve the problem of data storage, Microsoft SQL Server2000 is used as the basic database platform and SuperMap SDX+ large spatial database engine is used. Traffic safety analysis modeling is usually based on many random accident events, and the results are expressed by certain numerical criteria. Taking two typical traffic safety models: black point model and traffic safety assessment model as examples, the integration of traffic models with GIS is explored in detail. Finally the implementation strategy of TSAAS is investigated, and the secondary development scheme based on ComGIS product, SuperMap Objects, is recommended.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peijun Du, Jianzhong Pei, Xiaowei Chen, and Zhigang Yan "Urban traffic safety analysis and assessment system based on GIS: system design, key techniques and implementation strategy", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71442U (5 November 2008); https://doi.org/10.1117/12.812852
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KEYWORDS
Safety

Geographic information systems

Roads

Databases

Analytical research

Data modeling

Data storage

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