Research on Cross-Regional Traffic Law Enforcement Based on Intelligent Brain
With increasing traffic flow, traditional regional traffic law enforcement faces challenges in managing cross-regional complexities. Intelligent transportation systems, particularly the "intelligent brain," offer innovative solutions by leveraging big data, Artificial Intelligence (AI), and Internet of Things (IoT) for real-time data collection, analysis, and automated decision-making, enhancing traffic management efficiency. This paper explores cross-regional enforcement based on the intelligent brain, focusing on data sharing, intelligent decision-making, and legal frameworks to improve enforcement efficiency and fairness. Case studies illustrate the impact of the intelligent brain in real-time monitoring and enforcement of violations like speeding and overloading. The findings indicate that the intelligent brain not only enhances enforcement efficiency but also fosters transparent cross-regional collaboration. As technology evolves, the intelligent brain’s role in traffic management is expected to expand, with future research aiming to optimize AI algorithms, strengthen data privacy, and promote broader cooperation in intelligent transportation systems.
Authors
- Zhigang Shen (ORCID: https://orcid.org/0000-0001-5964-3391)
- Hang Li (ORCID: https://orcid.org/0000-0002-0776-9731)
- Xiaobo Wu (ORCID: https://orcid.org/0000-0002-8009-6991)
- Yulei Zhang (ORCID: https://orcid.org/0000-0002-0955-3758)
Institutions
- Capital Group (United States) (US)
- China Academy of Transportation Sciences (CN)
- Yunnan Investment Group (China) (CN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ecie65947.2025.11086861
- Primary Topic
- Legal and Policy Issues
- Type
- article
- Field-Weighted Citation Impact
- 0.00