TIER IV Innovates Long-Haul Autonomous Trucking with Yamato Transport and Mitsubishi Fuso Collaboration

TIER IV Innovates Long-Haul Autonomous Trucking



In an exciting development for the future of logistics, TIER IV, a pioneer in open-source software for autonomous driving, has successfully completed proof of concept tests for long-haul trucking in collaboration with Yamato Transport Co., Ltd. and Mitsubishi Fuso Truck and Bus Corporation (MFTBC). These tests were conducted under a Japanese government initiative aimed at advancing autonomous vehicle technology in logistics.

Overview of the Testing Phase


The testing took place from February 16 to 20, 2026, covering a substantial route from Haneda Chronogate Base in Tokyo to Kansai Gateway Base in Osaka. This journey spanned approximately 500 kilometers and included two round trips, allowing for extensive data collection.

During the tests, a semi-trailer truck equipped with Level 2+ autonomous technology operated on the Shin-Tomei Expressway for about 100 kilometers. The evaluations spanned vehicle performance, safety measures, and operational workflows, highlighting the efforts to make autonomous trucks a reliable part of the logistics chain.

Evaluating Vehicle Performance and Safety


A comprehensive assessment was made focusing on several key areas:
  • - Trailer Motion Data: The data collected covered factors such as sway and articulation trajectories, critical in understanding the vehicle's dynamics on the road.
  • - Performance Verification: This segment tracked hands-off duration and lane-keeping accuracy, essential for ensuring the truck could operate safely in various driving conditions.
  • - Decision-Making Analysis: Researchers analyzed surrounding conditions, decision-making criteria for manual interventions, and additional aspects crucial for safe autonomous operations.

Maintaining Operational Efficiency


One significant goal of the testing was to confirm that the trucks could adhere to schedules just as reliably as their manually operated counterparts. The results showed no delays during Level 2+ driving, suggesting that autonomous trucks could maintain operational efficiency on demanding routes.

Automation in Pre-Trip Inspections


Furthermore, the trials included innovative systems that automate parts of the pre-trip inspection processes, such as tire pressure checks. This is a leap forward as automation becomes essential for enhancing safety and reducing human error in logistics operations.

Remote Monitoring for Future Levels of Automation


As part of the initiative, remote monitoring systems were tested to prepare for future implementation of Level 4 operations. This is crucial as the industry moves towards fully autonomous logistics solutions, promoting efficiency and safety.

Driver Feedback


Feedback from drivers involved in the tests was generally positive. A driver remarked on the initial learning curve but mentioned feeling comfortable once they understood the system's behavior. They expressed hope that autonomous trucks would become dependable partners in maintaining hauling capacities, reflecting the industry's vision.

A Vision for the Future


The culmination of these tests indicates TIER IV's commitment to advancing autonomous driving technology. By integrating feedback and insights gained during these trials, TIER IV envisions a future where Level 4 autonomous trucks are commonplace in long-haul transportation routes operated by the Yamato Group.

About TIER IV


Standing at the forefront of technology innovation, TIER IV is dedicated to developing the Autoware platform—an open-source software solution tailored for autonomous vehicles. The company's collaborative approach helps shape the future of intelligent transportation systems, focusing on creating safer, more sustainable, and universally accessible mobility solutions.

As the transportation landscape continues to evolve, initiatives like these will play a critical role in redefining logistics, making it more efficient and reliable through the integration of autonomous technologies.

Topics Auto & Transportation)

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