交通情报信息系统人机协同决策技术应用进展

颜羽鹏; 姜可; 张靖宇; 明世杰; 何自强; 石星辰

doi:10.19554/j.cnki.1001-3563.2025.14.003

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包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (14) : 23-35. DOI: 10.19554/j.cnki.1001-3563.2025.14.003

工业设计

交通情报信息系统人机协同决策技术应用进展

颜羽鹏, 姜可^*, 张靖宇, 明世杰, 何自强, 石星辰

作者信息 +

Application of Human-Machine Collaborative Decision Technology in Traffic Information System

YAN Yupeng, JIANG Ke^*, ZHANG Jingyu, MING Shijie, HE Ziqiang, SHI Xingchen

Author information +

文章历史 +

摘要

目的多任务协同是未来交通情报指挥的主要形式,为应对交通情报信息系统人机交互中的诸多挑战,梳理和分析了人机协同决策技术的研究现状,并提出了研究思路,为将来的技术研究和应用提供了理论支撑。方法从交通情报信息系统概念和人机协同决策技术需求出发,结合人机协同决策技术特点,对系统的实现方式和关键技术进行分析和归纳。结果复杂多变的交通态势增加了指挥人员进行情报研判,并做出准确决策的难度,而人机协同决策技术促进了人与智能系统的精准协作。结论交通情报信息系统中,认知负荷过载和任务分配不合理是当前学界面临的挑战。人机协同决策技术以协同任务调度和联合认知决策为着力点,通过任务复杂度评价、任务分解和任务融合降低系统认知负荷,提高指挥决策效能,对未来交通情报信息系统的发展和研究有着举足轻重的意义。

Abstract

The multi-task collaboration is the main form of traffic information command in the future. In order to cope with many challenges in human-machine interaction of traffic information system, the work aims to sort out and analyze the research status of human-machine collaborative decision technology and put forward research ideas, providing theoretical support for future technology research and application. Starting from the concept of traffic information system and the requirements of human-machine collaborative decision technology, combined with the characteristics of human- machine collaborative decision technology, the implementation mode and key technologies of the system were analyzed and summarized. As a result, the complex and changeable traffic situation increased the difficulty of commanders in judging the intelligence and making accurate decisions. Human-machine collaborative decision technology promoted the precise cooperation between human and intelligence system. In conclusion, cognitive overload and unreasonable task allocation are the current challenges in the transportation information system. Human-machine collaborative decision technology focuses on collaborative task scheduling and joint cognitive decision-making. It is of great significance to the future development and research of traffic information system by reducing the cognitive load of the system through task complexity evaluation, task decomposition and task fusion.

导出引用

颜羽鹏, 姜可, 张靖宇, 明世杰, 何自强, 石星辰. 交通情报信息系统人机协同决策技术应用进展[J]. 包装工程（设计栏目）. 2025, 46(14): 23-35 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.003

YAN Yupeng, JIANG Ke, ZHANG Jingyu, MING Shijie, HE Ziqiang, SHI Xingchen. Application of Human-Machine Collaborative Decision Technology in Traffic Information System[J]. Packaging Engineering. 2025, 46(14): 23-35 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.003

中图分类号： TB472 U491

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