Research on intelligent construction method for traffic control scenarios based on traffic violation data mining

Junjian Yang; Xinyu Zhu; Xun Gu

doi:10.1117/12.2683924

14 June 2023 Research on intelligent construction method for traffic control scenarios based on traffic violation data mining

Junjian Yang, Xinyu Zhu, Xun Gu

Author Affiliations +

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127080H (2023) https://doi.org/10.1117/12.2683924
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

To meet the actual operational needs of public security traffic control departments, we propose an intelligent construction method for traffic control scenarios and introduce its construction process and application value. In this study, traffic control scenarios are split into several constituent elements. The associated elements are found and combined into scenarios based on actual data. To meet the computational efficiency challenges due to the rapid update of massive traffic violation data in the real world, this study applies ordering points to identify the clustering structure algorithm to achieve fast and efficient clustering of latitude and longitude data. Furthermore, the frequent pattern growth algorithm is improved by splitting the database and node exchange based on a Hash table to improve the association rule mining efficiency. The results reveal that both algorithms significantly improve efficiency and accuracy compared with traditional algorithms. By obtaining the refined influence range of traffic violation control scenarios through the clustering method, correlating the environmental factors of scenarios with control behaviors through association rules, and analyzing the intrinsic causes of scenarios based on identified indicators, the efficiency and accuracy of public security traffic control departments in finding and solving problems are effectively improved.

Citation Download Citation

Junjian Yang, Xinyu Zhu, and Xun Gu "Research on intelligent construction method for traffic control scenarios based on traffic violation data mining", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127080H (14 June 2023); https://doi.org/10.1117/12.2683924

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Mining

Roads

Databases

Safety

Data mining

Algorithm development

Data modeling

Keywords/Phrases

Search In:

Publication Years