06,10,2026 53views
【Smart CityOnline Brand Column】Recently, Tianjin Science and Technology Bureau, together with 8 departments, relying on the Tianjin Artificial Intelligence (AI+Xinchuang) Innovation Ecological Alliance, officially released the top 10 application benchmark scenarios and 20 typical cases of artificial intelligence for 2025. Gaoxin Technology Group“electric bicycleThe "Comprehensive Governance" plan has been successfully selected as a typical application case in the field of AI+transportation. The organizer believes that this plan has strong demonstration, replication, and promotion value, providing a new model for smart governance of urban non motorized vehicles.
Empowering comprehensive management of electric bicycles
The "High Emerging Comprehensive Management Plan for Electric Bicycles" focuses on the digital license plate, RV recognition integrated machine, and road driving management system of electric bicycles, building a full process digital electric bicycle comprehensive management loop of "front-end trusted identity identification - mid-range intelligent perception collection - back-end platform analysis and control", and solving various problems of traditional management from the source.
At the core hardware level, the electric bicycle digital license plate equipped in the solution adopts an integrated innovative design, embedded with a car electronic identification chip encrypted and authorized by the Ministry of Public Security, and matched with external componentsQR codeIdentification, using national encryption algorithms to ensure data security and controllability, endowing each electric bicycle with a unique and tamper proof trusted digital identity. Meanwhile, license plates can achieve refined classification management of vehicles through classification identification.
At the level of intelligent control and law enforcement, the system integrates RFID perception and video AI recognition technology to automatically capture illegal behaviors such as not wearing a helmet, running a red light, and going against the road. After AI pre screening and threshold screening verification, it is synchronously pushed to the traffic police work end and reminded car owners via SMS. Car owners can conduct video learning, online exams, and fine payments online on their mobile devices. Innovatively promoting a humanized "off-site law enforcement" model, which is convenient and efficient throughout the entire process. The system can achieve intelligent warning and control interception for key personnel who have repeatedly violated laws and risk red codes, and link with traffic police on-site law enforcement. At the same time, it is connected to the city's centralized guidance platform to build an online and offline collaborative law enforcement loop, comprehensively improving the refinement and intelligence level of traffic law enforcement.
In addition, the digital governance system has strong scalability. In addition to the core traffic control function, it can also extend to cover multiple application scenarios such as community intelligent control, vehicle parking and charging management, public security and anti-theft, and build a comprehensive urban governance system for data sharing and business collaboration, comprehensively improving the ecological governance of non motorized vehicles in the city.
Significantly improve safety indicators
Traffic accidents and fatalities have both decreased
It is reported that the plan has been successfully implemented in cities such as Shijiazhuang and has achieved significant results. Data shows that since the implementation of this scheme in Shijiazhuang, the registration and registration rate of electric bicycles has reached 99%, and the helmet wearing rate has increased to 95%; Meanwhile, the number of traffic accidents decreased by 21.5% year-on-year, and the number of deaths decreased by 16.7%. The plan gradually guides citizens from "passive fear of punishment" to "active compliance" through an intelligent mode of "unconscious supervision+precise reminders", effectively cultivating civilized riding habits.
The successful selection of Tianjin AI typical cases this time is not only an authoritative recognition of the innovation strength and scene landing ability of high emerging technologies, but also a vivid practice of Tianjin empowering social governance with artificial intelligence and building a national AI application highland. In the future, with the continuous iteration and upgrading of AI+transportation technology, the governance of electric bicycles will transform from end of pipe penalty control to refined services throughout the entire lifecycle, continuously assisting in the modernization and intelligent upgrading of urban transportation governance, and safeguarding people's travel safety with digital technology.
