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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

smart road; new infrastructure; intelligent connected vehicles; vehicle road collaboration

Document Type

S&T Forefront and Emerging Productivity

Abstract

Nowadays, intelligent connected vehicles have entered an important period of strategic opportunities with rapid technological evolution, accelerating industrial layout and scale application. Their innovative development urgently requires the support of new smart road infrastructure. As a new type of infrastructure, the construction of smart roads is essential for promoting the development of the intelligent connected vehicle industry and building a country with strong transportation network. For the Guangdong-Hong Kong-Macao Greater Bay Area (Greater Bay Area), smart roads are necessary prerequisite for accelerating the development of related industries, improving urban governance efficiency, optimizing user safety and driving experience and promoting regional development. From the perspectives of industrial logic, governance logic, and market logic, the practice of smart road infrastructure construction in the Greater Bay Area is of great significance. First, this study systematically reviews the development of smart roads construction in Europe, the United States, and Japan, and finds that each country has common characteristics of construction actors, construction principles, and construction means. Then, this study puts forward the construction path, that is, moderately advancing the layout of smart road infrastructure based on the demand for vehicle road collaboration, the leading role of government leadership and deep participation of enterprises in construction, and promoting industrial development through technological innovation. Based on this, the current challenges concerned with institution, technology, modes and collaboration are analyzed: the overall planning of smart roads needs to be improved, and inconsistent construction standards affect regional connectivity; the complex road conditions in cities pose greater challenges for related technologies; the profit model is still unclear, making it difficult to form a commercial closed loop; difficulty in achieving collaboration between cities and departments, hindering the effectiveness of integrated development. In the end, this study systematically proposes suggestions on the development of smart roads in the Greater Bay Area.

First page

1619

Last Page

1630

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 万钢. 拥抱汽车产业百年未遇的大变革. 汽车纵横, 2020, (11): 22-23.Wan G. How to embrace the unprecedented changes in the global automotive industry in a century. Auto Review, 2020, (11): 22-23. (in Chinese)

2 汪光焘, 李芬, 刘翔. 城市科学研究的新机遇. 中国科学院院刊, 2023, 38(7): 978-990.Wang G T, Li F, Liu X. New opportunities for urban science research. Bulletin of Chinese Academy of Sciences, 2023, 38(7): 978-990. (in Chinese)

3 耿彦斌, 刘长俭, 孙相军. 新发展阶段加快建设交通强国的宏观特征与优化路径. 科技导报, 2022, 40(14): 31-40. Geng Y B, Liu C J, Sun X J. Macro characteristics and optimization path of accelerating to build transportation power in China in the new development stage. Science & Technology Review, 2022, 40(14): 31-40. (in Chinese)

4 陈晓佳, 徐玮. 数据要素、交通基础设施与产业结构升级——基于量化空间一般均衡模型分析. 管理世界, 2024, 40(4): 78-98. Chen X J, Xu W. Data factor, transportation infrastructure and industrial structure upgrade: An analysis based on quantitative spatial general equilibrium model. Journal of Management World, 2024, 40(4): 78-98. (in Chinese)

5 杨晓光, 胡仕星月, 张梦雅. 智能高速公路交通应用技术发展综述. 中国公路学报, 2023, 36(10): 142-164. Yang X G, Hu S X Y, Zhang M Y. Development of intelligent motorway traffic application technologies: A review. China Journal of Highway and Transport, 2023, 36(10): 142-164. (in Chinese)

6 文龙, 刘思铨, 呙润华, 等. 面向智慧驾驶的道路基础设施功能设计. 同济大学学报(自然科学版), 2023, 51(8): 1143-1156. Wen L, Liu S Q, Guo R H, et al. Functional design of road infrastructure for intelligent driving. Journal of Tongji University (Natural Science), 2023, 51(8): 1143-1156. (in Chinese)

7 陈志军, 张晶明, 熊盛光, 等. 智能网联车辆生态驾驶研究现状及展望. 交通信息与安全, 2022, 40(4): 13-25. Chen Z J, Zhang J M, Xiong S G, et al. A review on research status and trends of eco-driving on intelligent connected vehicles. Journal of Transport Information and Safety, 2022, 40(4): 13-25. (in Chinese)

8 张亚勤, 李震宇, 尚国斌, 等. 面向自动驾驶的车路云一体化框架. 汽车安全与节能学报, 2023, 14(3): 249-273. Zhang Y Q, Li Z Y, Shang G B, et al. A unified framework for vehicle-infrastructure-cloud autonomous driving. Journal of Automotive Safety and Energy, 2023, 14(3): 249-273. (in Chinese)

9 潘教峰, 万劲波. 构建现代化强国的十大新型基础设施. 中国科学院院刊, 2020, 35(5): 545-554.Pan J F, Wan J B. Building ten types of new infrastructure system for a great modern power. Bulletin of Chinese Academy of Sciences, 2020, 35(5): 545-554. (in Chinese)

10 陈朋亲, 毛艳华. 粤港澳大湾区基础设施互联互通的底层逻辑与推进策略. 港澳研究, 2023, (1): 80-92. Chen P Q, Mao Y H. Infrastructure connectivity in Guangdong-Hong Kong-Macao Greater Bay Area: Underlying logic and advancement strategies. Hong Kong and Macao Journal, 2023, (1): 80-92. (in Chinese)

11 张毅, 裴华鑫, 姚丹亚. 车路协同环境下车辆群体协同决策研究综述. 交通运输工程学报, 2022, 22(3): 1-18. Zhang Y, Pei H X, Yao D Y. Research review on cooperative decision-making for vehicle swarms in vehicle-infrastructure cooperative environment. Journal of Traffic and Transportation Engineering, 2022, 22(3): 1-18. (in Chinese)

12 林泓熠, 刘洋, 李深, 等. 车路协同系统关键技术研究进展. 华南理工大学学报(自然科学版), 2023, 51(10): 46-67.Lin H Y, Liu Y, Li S, et al. Research progress on key technologies in the cooperative vehicle infrastructure system. Journal of South China University of Technology (Natural Science Edition), 2023, 51(10): 46-67. (in Chinese)

13 张建旭, 胡帅, 金宏意. 人机混驾交通流事故预警换道决策及特性分析. 公路交通科技, 2023, 40(11): 212-221. Zhang J X, Hu S, Jin H Y. Lane-changing decision and characteristic analysis on accident warning of mixed traffic flow with human-driving and autonomous vehicle. Journal of Highway and Transportation Research and Development, 2023, 40(11): 212-221. (in Chinese)

14 史云阳, 朱世超, 徐长靖, 等. SC-V2XSim:车路协同环境下的高速公路混合交通流联合仿真方法. 武汉大学学报(信息科学版), 2024, 49(4): 595-608. Shi Y Y, Zhu S C, Xu C J, et al. SC-V2XSim: A co-simulation method for highway mixed traffic flow considering V2X. Geomatics and Information Science of Wuhan University, 2024, 49(4): 595-608. (in Chinese)

15 左志强, 刘正璇, 王一晶. 基于车路云一体化的混合交通系统优化控制综述. 控制与决策, 2023, 38(3): 577-594. Zuo Z Q, Liu Z X, Wang Y J. A survey of optimal control for mixed traffic system with vehicle-roadcloud integration. Control and Decision, 2023, 38(3): 577-594. (in Chinese)

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