Construction of An Audit Platform for Vehicles with Unusual Driving Behavior
- DOI
- 10.2991/978-94-6463-108-1_102How to use a DOI?
- Keywords
- abnormal driving behavior; data warehouse; audit platform
- Abstract
In order to improve the efficiency of the audit of vehicles with abnormal driving behavior, this paper constructs a vehicle detection information platform and designs the main functional modules of the audit platform of vehicles with abnormal driving behavior. This paper integrates the data of all parties related to the identification of the characteristics of vehicles with abnormal driving behavior, builds a subject warehouse and an exploratory data warehouse based on abnormal driving behavior, and lays the foundation for the update of the subject warehouse of abnormal driving behavior and online real-time audit. In addition, this paper designs the online audit system architecture, by comparing the behavioral characteristics of real-time vehicles and the characteristics of abnormal driving behavior in the historical data warehouse can assist the on-site audit, and can obtain feedback data to promote the improvement of the efficiency of the highway abnormal driving behavior audit.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jinsong Ye AU - Tiannan Li AU - Jiahao Feng AU - Lei Zhou PY - 2022 DA - 2022/12/30 TI - Construction of An Audit Platform for Vehicles with Unusual Driving Behavior BT - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) PB - Atlantis Press SP - 918 EP - 925 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-108-1_102 DO - 10.2991/978-94-6463-108-1_102 ID - Ye2022 ER -