L3级来了!试点为什么是北京、重庆?
新华网财经·2025-12-19 07:04

Core Viewpoint - The Ministry of Industry and Information Technology has officially announced the first batch of L3-level conditional autonomous driving vehicle permits in China, with two models set to be tested in designated areas of Beijing and Chongqing, marking a significant step towards the practical application of autonomous driving technology in the country [1][9]. Group 1: Pilot Cities and Rationale - Beijing and Chongqing were chosen as pilot cities due to their advantages in data accumulation and diverse traffic scenarios, allowing for effective testing of the autonomous systems in different environments [3][9]. - The pilot program is limited to specific routes in these cities, focusing on safety and gradual implementation, with a maximum speed limit of 80 km/h on designated highways [3][9]. Group 2: Approved Models and Testing - The two approved models are designed for highway and urban congestion scenarios, reflecting the need for tailored solutions in varying traffic conditions [3][5]. - The Ministry has conducted comprehensive assessments of the pilot enterprises' R&D, testing, and emergency response capabilities, ensuring that only qualified entities are selected for the pilot program [7][9]. Group 3: Implications for Drivers and Consumers - L3-level conditional autonomous driving allows the system to act as a "temporary driver" under specific conditions, but drivers must be ready to take control when requested, emphasizing that human drivers remain the primary responsible party [6][8]. - Currently, the autonomous driving features are not available for personal vehicle owners and are limited to pilot operating units, with consumers able to experience the technology through ride-hailing services [8][9]. Group 4: Industry Opportunities - The pilot signifies a shift from technical validation to mass application of autonomous driving in China, indicating that intelligent technology has become a necessity for automotive companies [9]. - The rollout of L3-level autonomous driving encompasses the entire vehicle ecosystem, including components and software, highlighting the importance of safety and maturity in technology development [9].