Shared electric bicycles have become an indispensable part of modern urban transportation, providing people with convenient and environmentally friendly travel options. However, with the rapid expansion of the shared electric bicycle market, some problems have emerged, such as running red lights, riding against traffic, using motor vehicle lanes, and not wearing helmets, among other illegal behaviors. These issues have created significant pressure for operating companies and regulatory authorities, while also posing a serious threat to urban traffic safety. In order to address this problem, TBIT has developed a solution for the management of shared electric bicycle traffic violations, leveraging advanced artificial intelligence technology, bringing new hope to urban traffic management.
Guiding users towards civilized cycling: AI empowers shared electric bicycle traffic management
This solution utilizes AI technology to achieve real-time monitoring and swift processing of shared electric bicycle traffic violations. The system can automatically identify illegal behaviors, such as improper parking, running red lights, riding against traffic, using motor vehicle lanes, and failure to wear helmets. Through real-time vehicle voice broadcasting, users are reminded to ride in a civilized manner, guiding them to adhere to proper cycling practices. The system also utilizes cloud data analysis and intelligent early warning mechanisms to promptly alert both the operators’ management backend and the traffic management authorities. This assists city management departments in quickly responding to and dealing with shared electric bicycle traffic violations, thereby alleviating urban traffic congestion and enhancing public safety during commuting.
By providing timely data analysis and intelligent early warning capabilities, the shared electric bicycle traffic management system enables traffic management authorities to better understand the usage patterns of shared electric bicycles and formulate more scientifically-based traffic management policies. Additionally, this solution helps alleviate the pressure on operating companies and enhances the overall image and reputation of the shared electric bicycle industry. By enforcing compliance with traffic regulations through technological means, it not only improves the efficiency of traditional governance methods but also achieves comprehensive and accurate monitoring and management of urban shared electric bicycle traffic conditions, thereby elevating the level of intelligent traffic management in cities.
TBIT’s pioneering application of AI technology in the field of civilized travel management for shared electric bicycles, providing powerful tools for urban traffic management departments and offering valuable experience and technological support for other cities. It is expected to further drive the digitization and intelligence transformation of shared electric bicycle traffic management in cities.
Post time: Jun-19-2023
