06,10,2026 53views
【Smart CityOnline Brand Column】Recently, Qianshu Technology, a subsidiary of Qianfang Technology, was successfully selected as a partner for the Chongqing Municipal Transportation Commission's unveiling project "Research and Demonstration Application of Intelligent Driving Transportation System for Mountain City Freight". It will work with the project leader Chongqing Digital Transportation Industry Group (controlled by Chongqing Expressway Group) to jointly develop intelligent driving enhancement algorithms and jointly create a typical freight demonstration route for autonomous driving new energy heavy trucks.
At present, both parties have based onbig dataPing will conduct research on the vehicle cloud collaboration architecture and data transmission path. In the future, relying on the road network resources of Chongqing Expressway Group, real vehicle normalized operation verification will be carried out on key pilot sections in the Chengdu Chongqing region to overcome the application of autonomous driving in complex mountainous freight scenarios.
Chongqing is a typical mountainous city, with highways running through high mountains and steep hills, with large undulations and many bends. Tunnels account for the highest proportion of highways in the country. In addition, it is often foggy and rainy, which poses severe challenges for autonomous driving: continuous steep slopes are prone to slipping or overheating brakes, frequent uphill and downhill movements lead to a surge in energy consumption, rainy and foggy weather brings perception blind spots and safety hazards, signal loss in tunnels may cause trucks to "get lost", and so on.
In the face of these challenges, Qianshu Technology's "vehicle end decision-making+roadside blind correction+cloud optimization" full chain security system has demonstrated unique advantages. The multi-dimensional safety system of the auto drive system is built through the accurate control of power and braking at the vehicle end, the perception of blind spots such as the roadside equipment making up the tunnel in advance, and the real-time optimization of the global strategy of the cloud, to ensure that the automated trucks can still operate safely, stably and efficiently in complex mountain scenes.
Previously, Qianshu Technology, as a representative enterprise in the field of autonomous driving, was interviewed by CCTV Finance Channel, demonstrating the deep integration of roadside models and cloud based transportation models to provide perceptual support for high-quality decision-making of autonomous heavy-duty trucks, and to calmly cope with the challenges of high-speed complex scenarios such as rainy and foggy weather, bridges and tunnels.
Qianshu's profound understanding of complex highway scenarios is rooted in Qianfang Technology's digitalization practice of highways in more than 30 provinces and cities across the country. Based on real business scenarios, Qianfang Technology has accumulated scene cognition and vehicle trajectory data for typical high-speed working conditions such as rain, snow, fog, bridge tunnel alternation, and continuous bends. From roadside perception fusion algorithms to high-risk scenario security strategy libraries, these accumulations provide solid support for vehicles to continuously iterate their game capabilities in complex environments, helping to solve the security and all-weather reliable operation problems of long tail scenarios in mainline logistics.
In addition to scene understanding, Qianshu also benefits from the unique ecological advantages formed by Qianfang Technology in long-term business practice: joint ventures and cooperation with multiple provincial transportation companies at the roadside have the first mover advantage in obtaining testing licenses and demonstrating operations; Through ecological links with nearly 3000 logistics companies and over 50000 service providers, the supply of goods ensures stable demand for transportation capacity; By integrating insurance, charging and swapping, and improving the after-sales service system, we effectively reduce operating costs and are committed to solving the industry's challenges of "having technology but no scenarios, having vehicles but no orders, and difficult to replicate pilot projects".
Based on technological, scenario, and ecological advantages, Qianshu Technology will collaborate with multiple partners such as host factories and logistics ecosystems to establish an open and win-win industrial platform. Through a profit model driven by "TaaS (transportation service)+DaaS (technology subscription)", it will promote the commercialization of autonomous driving in mainline logistics.
