
Zhejiang Yuntong Shuda Technology
Digital traffic services for intelligent transportation management.
Date | Investors | Amount | Round |
---|---|---|---|
* | CNY50.0m | Series A | |
Total Funding | 000k |
Zhejiang Yuntong Shuda Technology Co., Ltd. is a digital transportation service provider that entered the smart transportation industry in 2022. The company focuses on transforming traffic management from a traditional experience-driven model to a data-driven one. It leverages mobile internet big data, combined with multi-party perceptual data from traffic management departments, to offer a suite of products and services.
The core of its offering is a digital governance platform designed for traffic management authorities. This platform utilizes a smart traffic model and a comprehensive spatio--temporal dataset of vehicles to provide services such as digital green wave construction for traffic signal coordination, road speed monitoring, traffic status monitoring, and data analysis. A key product, "Shuzhi Lübo" (Digital Green Wave), aims to optimize traffic flow and signal timing without relying on new hardware installations, which significantly reduces costs. By using data perception to replace or supplement hardware perception, the company can analyze traffic indicators like vehicle speed, turning ratios, and stop rates to create profiles for intersections and roadways.
Founded in 2019 and led by Chairman Wang Ziyi, the company has established itself as a rising participant in the industry. As of early 2025, its Digital Green Wave systems have been implemented in nearly 30 cities, including Hangzhou, Wenzhou, and Tianjin, covering over 1,000 kilometers of roads and improving traffic efficiency by at least 20%. The company has also expanded internationally, with a successful pilot program in Ulaanbaatar, Mongolia. In March 2025, Zhejiang Yuntong Shuda Technology announced the completion of a CNY 50 million A-round financing round led by Puhua Capital, with participation from new and existing investors. The funds are allocated for core technology research and development, global promotion of its Digital Green Wave system, and expansion into intelligent connected vehicle applications.
Keywords: digital traffic services, smart transportation, traffic management, data-driven traffic solutions, traffic data analysis, smart green wave, traffic flow optimization, intelligent transportation systems, traffic signal control, mobile internet big data, vehicle monitoring, transportation data platform, urban traffic management, Wang Ziyi, road network optimization, intelligent connected vehicles, traffic efficiency, data perception