The "14th Five-Year Plan Implementation Plan for New Urbanization" issued by the National Development and Reform Commission clearly proposes the construction of "livable, resilient, and smart" cities. Smart neighborhoods have become the smallest practical unit for building smart cities, upgrading transportation services, and cultivating consumption scenarios. Areas surrounding urban commercial districts, transportation hubs, scenic spots, schools, and hospitals are often the most congested areas in the city, with the densest pedestrian flow and areas where the quality of slow-moving traffic needs to be improved. Against the backdrop of limited resources, it is necessary to comprehensively implement measures in terms of intelligence, management, organization, and engineering, etc., to improve the comprehensive transportation service levels such as traffic control, public transportation services, parking services, and the quality of slow-moving traffic, and create a charming neighborhood full of technological vitality, livability, and pleasant walking environment for citizens.
For the first time in the industry, we have integrated the two control structures of "stage" and "loop", expanded forward-looking applications such as "micro-innovation" and vehicle-road coordination, and formulated standard protocol specifications. This enables the platform to directly control and manage signal controllers of multiple brands. At the same time, we have established hardware and engineering standards for signal controllers to ensure construction quality and improve the efficiency of operation and maintenance.
We have established a new accident information collection standard, improving 88 key fields covering aspects such as involved vehicles, personnel, roads, and accident patterns. This strengthens the pertinence and diversity of accident analysis, and comprehensively supports the requirements of current accident prevention and safety management work.
We have constructed a regional-level dynamic accident high-risk point discrimination model, which can dynamically identify accident high-risk points within different regions. Moreover, we promote the rolling implementation of targeted and preventive treatment of accident black spots, providing more accurate data support for the continuous improvement of traffic safety.
We possess the core technology of independently developed vehicle-road-cloud coordination, covering high-precision positioning, intelligent algorithms, and big data analysis. Guided by customer needs, we provide end-to-end solutions to achieve data interconnection and business collaboration.
