其中，目标切入切出功能通过超视距感知技术提前预判路况，有效降低碰撞风险；更引人关注的是该系 统的智能节油功能，结合超低风阻设计与高效动力链耦合，使车辆油耗较传统驾驶降低3%左右，年运 营20万公里可节省燃油支出约2万元，真正做到为用户创造更经济、更安全、更舒适的用车体验。 干线物流运输是承载中国经济动脉的关键领域，而效率、安全与成本始终是每一位运输人所面临的生存 命题。同时，长途驾驶中的人力疲劳、居高不下的燃油消耗、复杂路况下的安全风险，以及持续攀升的 运营成本，共同构成了行业转型升级的迫切压力。在此背景下，智能辅助驾驶不再只是前沿科技的概 念，而成为破解干线物流核心痛点的关键钥匙。中国重汽（000951）以智能辅助驾驶科技赋能物流运 输，直指降低人工成本、提升运营效率、筑牢安全防线的行业根本需求。 而当面对高速匝道汇入、长隧道通行、夜间行车等复杂工况时，中国重汽的高阶智能辅助驾驶系统则展 现出卓越的智能应对能力。系统通过激光雷达、毫米波雷达与800万像素高清摄像头的270°感知覆盖， 实现毫秒级环境响应，大幅减轻了驾驶员的身心负担，将安全与效率提升至新高度。 中国重汽现已将智能化上升为品牌核心战略，以"全链 ...

Group 1 - The core characteristics of trunk logistics include long-distance, cross-regional, and large-volume transportation, but it faces significant challenges such as limited transportation efficiency and profit margins [1] - The "Car Road Cloud 50 Forum: Closed-door Seminar on Autonomous Driving Trunk Logistics" was successfully held at Tsinghua University, gathering representatives from various sectors to discuss opportunities and challenges in the autonomous driving trunk logistics field [3] - Since the launch of the world's first autonomous driving concept truck by Daimler Trucks in 2014, the development of autonomous trucks has progressed along two paths: truck NOA (Navigation on Autopilot) and trunk route testing and demonstration [3] Group 2 - The industry has begun to form a collaborative ecosystem involving five key players: component suppliers, autonomous driving technology companies, heavy truck manufacturers, logistics companies, and supporting ecosystems [3] - Different companies are focusing on various aspects, with some emphasizing core technology development in autonomous driving, while traditional heavy truck manufacturers are collaborating with tech companies for product upgrades [3] - According to the "Autonomous Driving Trunk Logistics Industry Research Report," the total market size for the pre-installed market and autonomous truck capacity service market in China is expected to exceed 400 billion yuan by 2030 [3] Group 3 - Experts emphasize the need to address the bottlenecks and challenges in the large-scale application of autonomous driving technology in trunk logistics, advocating for a deep integration of government, industry, academia, and finance [4] - The future model of trunk logistics is proposed to be "electric heavy trucks + autonomous driving + battery swapping + trailer transport" [4] - The "Autonomous Driving Trunk Logistics Commercial Report" indicates that the sector has entered a new stage of potential breakthroughs, with the development of four core elements: technology costs, business models, market, and policies accelerating [4]