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Smart city article details
| Title | The Application Of Gis Technology In Accident Prevention And Management In Intelligent Traffic Management Systems |
|---|---|
| ID_Doc | 54936 |
| Authors | Yu X. |
| Year | 2025 |
| Published | Proceedings of SPIE - The International Society for Optical Engineering, 13550 |
| DOI | http://dx.doi.org/10.1117/12.3059609 |
| Abstract | This study investigates the integration of Geographic Information System (GIS) technology with Intelligent Traffic Management Systems (ITMS) for accident prevention and management, addressing the limitations of traditional systems in processing real-time data and spatial analysis. The research implements a comprehensive GIS-based framework combining distributed computing, machine learning algorithms, and WebGIS technologies. The system architecture incorporates improved Hidden Markov Models for GPS trajectory mapping, Graph Neural Networks for traffic flow prediction, and enhanced Ordering Points to Identify the Clustering Structure (OPTICS) algorithms for spatial analysis. Experimental results demonstrate significant improvements in system performance, with the accident prevention model achieving 89.7% accuracy and an AUC value of 0.94. The accident response time was reduced by 42%, from 15 minutes to 8.7 minutes, while the secondary accident rate decreased from 7.2% to 3.1%. The system successfully handled peak concurrent users of 10 million with 99.9% of requests responding within 200 milliseconds, leading to a 12.3% reduction in average commuting time and 24.6% decrease in congestion duration. This study confirms that the integration of GIS technology with intelligent traffic management systems significantly enhances traffic safety and efficiency while providing valuable insights for future smart city initiatives. © 2025 SPIE. |
| Author Keywords | accident management; accident prevention; Geographic Information System (GIS); intelligent traffic management; spatial data analysis |
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