| 支撑交通治理升级的智能汽车科技创新发展战略 |
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| 引用本文： | 刘宗巍,朱光钰,郝瀚,赵福全.支撑交通治理升级的智能汽车科技创新发展战略[J].科技管理研究,2022,42(8):34-41. |
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| 作者姓名： | 刘宗巍 朱光钰 郝瀚 赵福全 |
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| 作者单位： | 汽车安全与节能国家重点实验室,北京 100084;清华大学汽车产业与技术战略研究院,北京 100084 |
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| 基金项目： | 中国工程院重点项目、突破智能汽车核心瓶颈，实践交通治理智能化、2019-XZ-55 |
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| 摘 要： | 智能汽车可实现城市资源的统筹调度、优化分配和顺畅流动，是实现交通治理智能化升级的重要突破口。为促进中国实现交通治理的智能化升级，从车端视角对智能汽车科技群进行系统梳理，建立涵盖人工智能、通信、地理信息数字化和计算机科学四大领域的基本框架，通过综合评估发现中国在5G通信技术、应用软件开发能力、导航与定位领域具有部分优势，但在高性能芯片、车用人工智能算法以及信息安全等核心技术领域存在明显的瓶颈和短板。在此基础上，描绘面向交通治理能力升级的中国智能汽车科技创新协同发展战略和技术路线图，提出由智能汽车提供商、软硬件提供商及平台运营商等多方共同主导的网状生态系统的未来智能汽车产业生态理想图景，并梳理分析各类相关企业在实践中有效分工协作的特色商业模式。最后分别从国家和企业层面给出践行智能汽车科技创新发展战略、支撑交通治理智能化升级的方向性建议。
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| 关 键 词： | 智能汽车 交通治理 智能汽车科技群 人工智能 技术路线图 |
| 收稿时间： | 2021/10/9 0:00:00 |
| 修稿时间： | 2022/5/8 0:00:00 |
The Development Strategy of Smart Vehicle Technology Innovation with Supporting the Intelligent Upgrade of Traffic Management |
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| Liu Zongwei,Zhu Guangyu,Hao Han,Zhao Fuquan.The Development Strategy of Smart Vehicle Technology Innovation with Supporting the Intelligent Upgrade of Traffic Management[J].Science and Technology Management Research,2022,42(8):34-41. |
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| Authors: | Liu Zongwei Zhu Guangyu Hao Han Zhao Fuquan |
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| Abstract: | Smart vehicle (SV), as the key hub of urban transportation system and smart city, can achieve the comprehensive scheduling and optimized distribution of urban resources, providing a new breakthrough to realize the upgrading of traffic management. This paper systematizes the framework of SV technology cluster and breaks down relevant technologies into four major fields of artificial intelligence, communication, geographic information digitization and computer science with the development status of four fields on SV comprehensively assessed. Based on this, the collaborative development strategy and technology roadmap for China''s SV technology innovation is obtained for traffic management intelligent upgrade and the future industrial ecology of smart vehicles is proposed. It sorted out and analyzed the characteristic business models, in which various related enterprises can cooperate effectively. Finally, some directional suggestions are given, for practicing the development strategy of smart vehicle technology innovation and supporting the intelligent upgrade of traffic management. |
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| Keywords: | Smart vehicle Traffic management Technological innovation Technology roadmap Business model |
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