Core Highlights
Tsinghua Gene, Signal Control Experts
The founding team originated from the core members of Tsinghua University's National “863 Program,” with over a decade of deep expertise in the intelligent transportation sector. Founder Yin Shengchao, a postdoctoral researcher at Tsinghua University, has been deeply involved in multiple National 863 Program projects and industry standard development since 2007.
National-Level Innovation Capability
A National High-Tech Enterprise and Provincial Specialized, Refined, Distinctive, and Innovative Enterprise, holding multiple core patents and industry accolades. The company has accumulated over 20 industry honors and certifications, including the China Transportation Perception Industry Outstanding Product Award and the Alibaba Cloud Industry Deep Cultivation Award.
Full-Stack Signal Control Engine Capability
The independently developed signal control engine platform features openness, scenario-based adaptability, and easy decoupling. It is backward compatible with mainstream traffic signal controllers and front-end sensing devices, while supporting diversebusiness applications upstream to establish a seamless “cloud-pipe-edge-end” full-chain connectivity.
Large-Scale Deployment Experience
Business operations cover more than 100 cities across China and overseas markets. Smart intersection projects have been successfully implemented in over 50 cities including Beijing, Shanghai, Guangzhou, Hong Kong, and Kuala Lumpur. The company has established five subsidiaries in provinces such as Hubei and Hebei.
Deep Industry-Academia-Research Integration
The company has established deep cooperation with prestigious institutions including Tsinghua University, Beijing Institute of Technology, and Beijing Jiaotong University. It has assembled a high-tech research team composed of Ph.D. and master's degree holders, continuously driving transportation digital transformation through innovation.
Core Technologies & Solutions to Be Exhibited at CITSE
1. Cloud-Edge Collaborative Holographic Smart Intersection Solution (CITSE Key Promotion)
Adopting the innovative "1+1+1+N" architecture (1 smart intersection platform + 1 edge computing device + 1 signal equipment + N sets of radar-vision integrated perception devices). Through the edge intelligence unit (BYZT-MEC) deployed roadside, it achieves millisecond-level real-time signal optimization. Combined with the central platform's visual digital twin, it enables full-scenario applications such as "lights see vehicles, lights wait for pedestrians, green wave passages." Successfully deployed at multiple busy intersections in Hong Kong, it has operated stably for over two years under harsh environments including high temperature, high humidity, and typhoons, achieving all-day trunk green wave passage and barrier-free travel assurance.
2. Unified Traffic Signal Management Platform (Signal Control Brain)
One of the first central systems in China to achieve unified management and regulation of different brands of traffic signal controllers citywide. The latest Version 2.0 integrates multiple system functions including traffic situation awareness, intelligent signal optimization, smart operation & maintenance, and big data visualization cockpit, providing solid platform support for holographic smart intersections. Based on this platform, Nanning City successfully established the "Life Rescue Green Wave" mechanism, achieving unified management of 110 holographic smart intersections.
3. Edge Intelligence Unit (BYZT-MEC-A)
A roadside core node device with powerful AI computing capabilities, winner of the "2021 China Traffic Perception Outstanding Product Award." Working in tandem with radars and radar-vision integrated devices, it completes holographic perception of traffic flow at intersections. Based on AI algorithms, it achieves second-level adaptive optimization control, supporting functions such as bus priority, vehicle-road collaboration, and signal interoperability. It can be layered and decoupled like Lego to meet different application scenario requirements.
4. Holographic Road Network AI-Powered Signal Control Optimization Technology Platform 3.0
By integrating radar-vision integrated units with edge computing modules, dynamic signal timing optimization is achieved, boosting peak-hour traffic capacity by 10%-30%. At the Yinghua Road-Liuxiang Road intersection in Nanning, actual implementation increased morning and evening peak traffic flow by over 40%, reduced average queue length by 34.9%, and shortened the evening peak by 20 minutes, demonstrating significant optimization results.
5. Vehicle-Road-Cloud Integrated Intelligent Computing Teaching & Experiment System
A comprehensive experimental platform oriented towards future transportation talent cultivation, integrating functions such as traffic big data processing, vehicle-road collaboration computing, and AI algorithm practice. It has been successfully applied in university laboratory constructions including North China University of Technology, facilitating industry-academia-research collaborative development in the smart transportation field.
