据介绍，这是中国汽研建设的华为+诺基亚双核心网整车级蜂窝网络仿真实验室。该实验室可对全球 100余个国家、300余家运营商的网络信号进行模拟，全面评估汽车复杂无线网络适应性，帮助中国车企 在"家门口"完成前期摸底测试。 此外，中国汽研构建"典型海外路试场景数据库"和"海外路试最佳实践数据库"，归纳超600个海外道路 典型场景，收集超10000个海外路试问题事件。通过对海外路试大数据和国内外标准法规进行分析，实 现全球主要国家典型、复杂交通环境及车辆使用场景搭建和复现，评估智能网联汽车海外复杂无线网络 适应性能，帮助车企解决海外出口联网问题。(贾楠 安梓诚 张浩然 ) 近日，"行走中国·2025海外华文媒体川渝行"参访团走进中国汽车工程研究院股份有限公司(简称"中国汽 研")全球汽车信息通信测评技术创新基地，一间铺满四棱锥体的实验室吸引到访海外华文媒体代表驻 足。 ...

Core Insights - The collaboration between Dongchedi and CCTV conducted a safety test program for intelligent driving, revealing that the overall pass rate across 12 scenarios was below 50%, sparking public discussions on intelligent driving safety [1] - The program aimed to enhance public understanding of intelligent driving and to address the blind trust in current intelligent driving features, urging consumers to be more aware of safety [3] Group 1: Test Details - The program tested nearly 40 models from over 20 popular brands in real accident scenarios, including 15 scenarios in urban and highway environments [1] - In urban scenarios, the pass rates for "merging into a roundabout," "schoolchildren crossing the road," and "stopping for a child at a zebra crossing" exceeded 50%, while the lowest pass rate was 23% for "entering a roundabout" [1] - The highest pass rate in highway scenarios was 47% for "encountering a truck in construction," indicating lower performance in more complex situations [1][2] Group 2: Public Reaction and Criticism - The release of the program generated significant online discussion, with some viewers expressing increased awareness of intelligent driving safety, while others criticized the scientific rigor of the tests [2] - Concerns were raised regarding the variability in following distances between different models and the potential for human control during the tests [2] Group 3: Company Response and Future Directions - The company emphasized that the selected models were based on market sales, user interest, and the configuration of driving assistance features, ensuring they were mass-produced vehicles available to consumers [2] - The program's intent was to promote scientific understanding of intelligent driving and to encourage manufacturers to avoid overstating the capabilities of their intelligent driving systems [3]

Core Viewpoint - The testing conducted by Dongche Di, which simulated real accident scenarios to evaluate the performance of various driver assistance systems, yielded mixed results, highlighting both successful and unsuccessful outcomes across different vehicle models [1][3]. Group 1: Testing Overview - The test involved 15 driver assistance-related subjects and nearly 40 vehicle models from mainstream brands such as Xiaomi and Tesla, using real accident scenarios for simulation [6][8]. - The results indicated that only 3 out of 15 urban scenarios had a passing rate above 50%, with specific scenarios like highway night construction and child pedestrian situations showing only 47% and 58% success rates, respectively [23]. Group 2: Methodology and Criticism - The testing methodology faced scrutiny regarding its execution and the use of fabric vehicles instead of real cars, raising questions about the validity of the results, especially for models relying on laser radar technology [10][12]. - Despite criticisms, the testing was deemed to have social value, as it aimed to assess the practical applicability of testing standards in real-world scenarios [8][9]. Group 3: Industry Implications - The results of the tests could potentially benefit brands that emphasize autonomous driving features, as the overall performance across various models was subpar in challenging scenarios [26]. - The testing process highlighted the need for industry-wide collaboration in establishing testing standards, suggesting that Dongche Di should involve authoritative organizations to enhance credibility and address concerns about bias [31][38].

Group 1 - Dongchedi responded to controversies regarding its assisted driving evaluation program, clarifying that the vehicle's automatic emergency braking (AEB) system was triggered, which suppressed the autonomous navigation function, and the driver did not intervene [2] - BYD addressed an incident at Tianfu Airport where a vehicle was reported to be driving erratically, confirming that the vehicle's braking system was functioning normally and that the driver was not under the influence of alcohol or drugs [3] - Wei Jianjun is collaborating with Jia Yueting to introduce a new model under the FF brand, aiming to facilitate Great Wall Motors' entry into the U.S. market [4] Group 2 - The food delivery industry is facing challenges, with merchants reporting a forced price war leading to a 15% reduction in income and a drop in average order value by 7 to 10 yuan [5][6] - Xiaomi's automotive division completed extensive road testing across various challenging terrains, covering 719,000 kilometers and 337 cities [7] - TikTok's revenue for 2024 is projected to grow by 42.8% to $23 billion, making it the fourth largest social media app by revenue globally [8] - Intel announced a 15% workforce reduction as part of a new cost-control strategy, significantly cutting middle management levels [9]

Core Insights - The China Automotive Engineering Research Institute has completed in-depth evaluations of nearly 500 vehicle models across over 60 platforms, indicating significant advancements in automotive technology in China [1] - The safety index testing shows a remarkable increase in occupant safety ratings from 41% in 2019 to 91% in the past five years, reflecting improvements in vehicle safety standards [1] - The testing results for intelligent features reveal that domestic brands have a 90% adoption rate for navigation assistance and 88.8% for memory parking, significantly outperforming non-domestic brands [1] - The health index testing indicates a 25% reduction in formaldehyde concentration limits within vehicles and nearly a 10% decrease in temperature-related range degradation, showcasing advancements in vehicle health standards [1] Industry Developments - The upgrade and deepening of automotive indices are driven by the urgent need to align with national strategies, emphasizing the automotive industry's transition towards intelligence and sustainability [2] - Rapid technological iterations in the automotive sector present unprecedented challenges for evaluation techniques, necessitating continuous innovation in testing methods and expansion of evaluation dimensions to enhance precision [2] - Strengthening consumer rights is a priority, aimed at boosting consumer confidence in the automotive market [2]

Group 1 - The event "2025 China Automotive Index University Tour" was launched at the University of Electronic Science and Technology of China, supported by the China Automotive Engineering Research Institute [1] - AI technology continues to empower intelligent driving and smart cockpit, leading to increasingly diverse functions in smart automotive products [1] - Dr. Shi Jia from the China Automotive Engineering Research Institute presented a report on "Innovative Thoughts on Evaluation Technology in the Era of Intelligent Driving," highlighting the latest trends in the intelligent automotive industry [1] Group 2 - The "2025 'Technology for Good' Public Welfare Plan" was launched during the April event, focusing on intelligent safety and green health, demonstrating social responsibility [3] - The China Automotive Index has achieved significant results in automotive safety, intelligence, and health, creating a bridge between automotive supply and demand [5] - The university tour provides students with opportunities to engage with cutting-edge automotive technologies, fostering interest in the automotive field and cultivating talent for the industry [5]

Core Insights - The conference serves as a significant platform for international technical exchange and aims to assist Chinese automotive companies in expanding globally [1] Group 1: Technological Advancements - The "IVISTA China Intelligent Vehicle Index 2023" introduces new testing scenarios including rain AEB and L2+ memory parking, focusing on user privacy protection in data handling [2] - The "C-AHI China Automotive Health Index 2023" incorporates low-carbon energy testing in various urban scenarios and evaluates antibacterial properties of vehicle components [2][3] Group 2: Global Market Integration - Chinese automotive companies are leveraging self-sufficient technology in core components like chips and sensors, significantly reducing costs and enhancing competitiveness in the global market [4] - The focus is on transitioning from product output to brand value and technology standard output, supported by evolving policies and standards [4][5] Group 3: International Collaboration - China Automotive Engineering Research Institute (CAERI) aids domestic brands in meeting local market needs through tailored testing and certification services, achieving Euro NCAP five-star ratings for multiple models [6][7] - Strategic partnerships, such as with the Malaysian Institute for Road Safety Research, enhance recognition and facilitate market entry in Southeast Asia [7] Group 4: Standardization and Global Influence - CAERI is establishing an international expert network and promoting Chinese testing standards globally, enhancing China's influence in international automotive safety standards [8] - The organization has set up overseas service centers to provide comprehensive support for Chinese automotive brands in various regions [8] Group 5: Learning from International Standards - The adoption of data-driven approaches and a focus on comprehensive safety measures are essential for improving China's automotive testing standards [9] - Emphasis on international collaboration to harmonize testing protocols and reduce development costs for automotive companies [9]