Online Car Illegal Behavior Identification and Law Enforcement and Forensics Methods based on Big Data Technology
DOI:
https://doi.org/10.54097/fcis.v5i1.11543Keywords:
Big Data, Online Vehicles, Illegal IdentificationAbstract
With the rapid development of social economy, people's living standards gradually improve, the online car in meeting the demand for convenient travel, at the same time, has become an indispensable means of transportation for the people's travel. In the face of the increasingly huge data information in traffic law enforcement, the traditional forensic measures for the identification of illegal behaviors and law enforcement methods of Internet dating cars can no longer adapt to the needs of the reform and development of traffic and transportation law enforcement. Therefore, how to quickly and efficiently identify the illegal behavior of online car and optimize the law enforcement forensic measures has become a new problem that law enforcement officers need to face nowadays. In order to solve the above problems, this paper firstly understands the current online car identification and law enforcement methods, then, analyzes its problems and drawbacks, and finally, combines the actual law enforcement work to put forward a few solutions and future law enforcement suggestions. Expect to be able to effectively solve the deficiencies in the identification of illegal online car and law enforcement methods of forensic measures to promote the better development of online car.
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References
Luo Yandu. Problems and optimization of the legal regulation of China's net car[J]. Legal Expo,2023,No.908(12):130-132.
Dong Guofang,Lu Yekun,Liu Bing. Blockchain and attribute encryption based information sharing scheme for online vehicles [J/OL]. Journal of Yunnan University for Nationalities (Natural Science Edition):1-9 [2023-07-02].
Zhang, A. P.. Research on the safety governance of online taxi from the perspective of digital technology[J]. Enterprise Economy, 2023, 42 (02): 141-152. DOI: 10.13529/ j. cnki. enterprise. economy.2023.02.014.
Liu, Ruoxuan, Fan, Bo. Can administrative inspection and administrative interview enhance the effectiveness of platform regulation? --A study of "big data + quasi-experiment" based on online taxi platforms[J]. Public Administration Review, 2023, 16(03):42-59+196.
Zhao Xingjiao. Research on the supervision mode of illegal behavior of online vehicles in Changsha [J]. Heilongjiang Transportation Science and Technology,2023,46(07):139-141. DOI:10.16402/j.cnki.issn1008-3383.2023.07.021.