| Perception, Planning, and Management of 3D Integrated Transportation Systems |
| 立体综合交通中的感知、规划与管控 |
| Submission Deadline: June 10, 2026 |
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| Chair: |
Co-chairs: |
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| Jianqing Wu |
Bin Lv |
Cong Du |
| Shandong University, China |
Lanzhou Jiaotong University, China |
Shandong University, China |
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| Keywords: |
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- Multi-Source Data Fusion (多源数据融合)
- Air–Ground Integrated Mobility (空地一体化交通)
- Low-Altitude Traffic Management (UTM) (低空交通管理)
- Urban Air Mobility (城市空中交通)
- Multimodal Transportation Systems (多模式交通系统)
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| Topics (Include but are not limited to): |
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- Perception and Awareness: multi-source heterogeneous data fusion, cross-domain cooperative sensing, traffic state estimation and prediction, real-time environment modeling (感知与认知：多源异构数据融合、跨域协同感知、交通态势感知与预测、实时环境建模)
- Planning and Optimization: multimodal transportation coordination, trajectory and route planning, resource allocation, and network optimization (规划与优化：多模式交通协同调度、路径与轨迹规划、资源配置与网络优化)
- Decision-Making and Control: decision-making under uncertainty, game-theoretic and cooperative strategies, multi-agent systems, and control methodologies (决策与控制：复杂交通系统决策方法、博弈与协同决策、多智能体控制与优化)
- Operations and Management: system operation and safety assurance, air–ground integrated management, low-altitude traffic management (UTM), and dynamic airspace–network coordination (运行与管控：交通系统运行管理与安全保障、空地一体化协同管控、低空交通管理（UTM）、动态空域与路网协同管理)
- Systems and Applications: large-scale autonomous systems, intelligent transportation systems (ITS), digital twin technologies, and simulation-based evaluation (系统与应用：大规模无人系统运行、智能交通系统（ITS）、数字孪生交通与仿真评估)
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| Summary: |
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- This session focuses on the key technologies and application challenges in three-dimensional integrated transportation systems, and conducts in-depth discussions along the full chain of “perception–decision–execution.”
At the perception level, it emphasizes multi-source heterogeneous data fusion, air–ground collaborative sensing, real-time environment modeling, and traffic situation awareness.
At the planning level, it covers multimodal transportation coordination and scheduling, low-altitude route planning, intelligent path optimization, and resource allocation.
At the management and control level, it targets the coordinated operation and safety assurance of complex transportation systems, with a focus on low-altitude traffic management (UTM), integrated air–ground operation management, conflict detection and resolution, dynamic airspace management, risk early warning and emergency response mechanisms, as well as the development of intelligent control frameworks for large-scale unmanned aerial vehicle (UAV) operations.
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- 本专题聚焦立体综合交通体系中的关键技术与应用问题，围绕“感知—决策—执行”全链条展开深入探讨。在感知层面，重点关注多源异构数据融合、空地协同感知、实时环境建模与交通态势识别等技术；在规划层面，涵盖多模式交通协同调度、低空航路规划、智能路径优化与资源配置等问题；在管控层面，重点面向复杂交通系统的协同运行与安全保障，聚焦低空交通管控、空地一体化运行管理、飞行冲突检测与解脱、动态空域管理、风险预警与应急响应机制，以及面向大规模无人机运行的智能化调控体系构建。
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