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1.公安部道路交通安全研究中心,北京 100176
2.中国科学院自动化研究所,北京 100190
[ "王长君(1965- ),男,公安部道路交通安全研究中心主任、研究员,主要研究方向为智能交通、交通事故预防和智能车辆运行安全。" ]
[ "胡伟超(1987- ),男,公安部道路交通安全研究中心副研究员,主要研究方向为智能交通、交通安全和交通仿真建模。" ]
[ "吕宜生(1983- ),男,中国科学院自动化研究所研究员,主要研究方向为人工智能、机器学习、深度学习、智能驾驶、智能交通和交通大数据。" ]
[ "戴星原(1993- ),男,博士,中国科学院自动化研究所助理研究员,主要研究方向为平行交通、平行驾驶、强化学习。" ]
[ "于鹏程(1986- ),男,公安部道路交通安全研究中心副研究员,主要研究方向为智能交通、交通安全和驾驶行为。" ]
[ "赵红霞(1982- ),女,博士,中国科学院自动化研究所副研究员,主要研究方向为智能系统、交通大数据。" ]
[ "李小松(1996- ),男,公安部道路交通安全研究中心研究实习员,主要研究方向为交通安全技术。" ]
[ "刘雨桐(1997- ),女,公安部道路交通安全研究中心研究实习员,主要研究方向为车联网、智能交通和交通安全。" ]
[ "王飞跃(1961- ),男,博士,中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任,主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。" ]
收稿日期:2024-12-10,
修回日期:2025-02-15,
纸质出版日期:2025-03-15
移动端阅览
王长君,胡伟超,吕宜生等.可编程道路交通控制系统:概念、体系架构与关键技术[J].智能科学与技术学报,2025,07(01):41-53.
WANG Changjun,HU Weichao,LYU Yisheng,et al.Programmable traffic control systems: concepts, architecture, and key technologies[J].Chinese Journal of Intelligent Science and Technology,2025,07(01):41-53.
王长君,胡伟超,吕宜生等.可编程道路交通控制系统:概念、体系架构与关键技术[J].智能科学与技术学报,2025,07(01):41-53. DOI: 10.11959/j.issn.2096-6652.202504.
WANG Changjun,HU Weichao,LYU Yisheng,et al.Programmable traffic control systems: concepts, architecture, and key technologies[J].Chinese Journal of Intelligent Science and Technology,2025,07(01):41-53. DOI: 10.11959/j.issn.2096-6652.202504.
随着道路交通基础设施和汽车网联化的快速发展,构建面向大规模路网的安全、灵活、高效的新一代交通控制系统已成为行业关注的重要问题。针对当前交通控制系统中存在的异构基础设施、软硬件耦合、物理调控为主带来的系统连通性、协同性、扩展性挑战,在虚实互动的平行交通基础上,引入软件定义的可编程交通控制系统。该系统通过集中控制器、应用开发框架、虚拟化交通设施与平行控制,可实现对网联交通实体的高效协调与灵活调度。首先阐述了可编程交通控制系统的概念与特征,然后论述其体系架构与关键技术,之后介绍了该系统在交通信号控制、特勤车辆优先、标志标线控制、网联车辆诱导中的应用,最后总结并展望可编程交通控制系统及相关技术的发展前景。可编程交通控制系统可作为新一代交通控制系统的重要组成部分,为推动交通治理的数字化与智能化转型提供架构支持与技术路径。
With the rapid development of road traffic infrastructure and vehicle connectivity
the construction of a safe
flexible
and efficient next-generation traffic control system for large-scale road networks has become a critical issue in the industry. To address the challenges of system connectivity
coordination
and scalability in current traffic control systems caused by heterogeneous infrastructure
tight coupling of software and hardware
and a predominantly physical control approach
this paper introduces a software-defined programmable traffic control system based on the concept of parallel transportation with virtual-physical interaction. This system integrated centralized controllers
an application development framework
traffic facility virtualization
and parallel control. These features enable efficient coordination and flexible scheduling of intelligent and connected traffic entities. First
the concept and characteristics of programmable traffic control systems were introduced. Then
the architecture and key technologies were discussed. Furthermore
the system's applications in traffic signal control
priority for emergency vehicles
adaptive traffic sign and marking control
and connected vehicle guidance were discussed. Finally
the development prospects of programmable traffic control systems and related technologies were summarized and prospected. This system can support the next-generation of traffic control systems and provide a foundation for the digital and intelligent transformation of traffic governance.
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