Automated Truck Platooning Solution

Background

The current long-haul logistics market faces significant challenges such as low industry concentration, leading to disorderly competition and resource waste;as well as high safety risks due to persistent issues including overloading and fatigued driving;and labor shortages and an aging driver populationwhich reduce transport efficiency. Thesefactors hinder the healthy and sustainable development of the market.

In recent years, national and local governments have issued a series of policies to support the development of intelligent connected vehicles, such as the “Rules for the Administration of the Road Testing and Demonstrative Application of Intelligent Connected Vehicles”,providing a foundation for the application of truck platooning autonomous driving technology. This solution strictly adheres to relevant national and industry standards in intelligent connected vehicles and autonomous driving, ensuringsystem safety, reliability, and compliance.

Product Features

  • Enhanced Efficiency

    Leveraging truck platooning autonomous driving technology, the solution enables efficient coordination between vehicles, improving transport efficiency and reducing operating costs. A 40% increase in efficiency and a 33% rise in revenue is estimated.

  • Safety Assurance

    Based on a self-developed ASIL-C onboard safety computer platform, the system achieves a safe tracking time gap of 1.7 seconds for platooned vehicles.It ensures operational safety also by providing real-time monitoring and earlywarning functions to effectively prevent accidents.

  • Data-Driven Approach

    A unified data foundation is established to build closed-loop services across multiple scenarios, empowering algorithm iteration, risk scenario identification, scenario testing and validation, and other phases, thereby continuously improving system performance.

  • Flexible Deployment

    The system supports multiple platoon formations (e.g., 1+2, 1+5), and can be flexibly deployed to meet diverse transport needs.

  • Environmental Sustainability

    By optimizing driving trajectories and reducing empty running rate, the solution lowers fuel consumption and carbon emissions, aligning with the trend toward green logistics.

Application Examples

Demonstration Validation on Xinjiang 100 km Pilot Section:A demonstration validation is conducted along a 100 km pilot highway section in Xinjiang using a 1+2 platoon formation to validate the feasibility and effectiveness of truck platooning autonomous driving technology.

Demonstration Validation on the Beijing–Tianjin–Tangshan Expressway:A demonstration validation is deployed on the Beijing–Tianjin–Tangshan Expressway within the Beijing Pilot Zone to further expand the application of truck platooning autonomous driving technology.