Track Ⅰ
Traffic Optimization in Intelligent and Connected Environments: Policy, Planning, and Operation
(智慧交通与智能网联环境下交通优化：政策、规划与管控)
Chair: | Co-chair: |
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Zhenhua Mou | Hu Zhang |
Shandong Jianzhu University, China | Shandong University of Technology, China |
Keywords: | Topics: |
· Intelligent Transportation (智慧交通) · Intelligent Connectivity (智能网联) · Traffic Optimization (交通优化) · Traffic Policy (交通政策) · Transportation Planning (交通运输规划) · Traffic Operation (交通管控) | · Policy Frameworks for Information-Driven Intelligent Transportation (面向信息驱动的智能交通政策框架) · Planning and Management Strategies Based on Real-Time Information Interaction (基于实时信息交互的交通规划与管理策略) · Vehicle-to-Everything (V2X) Communication and its Impact on Traffic Flow Optimization (车联网（V2X）通信对交通流优化的影响) · Data-Driven Approaches to Traffic Management and Operation (数据驱动的交通管理与运行方法) · Smart Transportation Sensor Network Layout Method (智慧交通传感网布设方法) · Multi-Source Data Fusion and Analysis Methods (多源数据融合及分析方法) |
Summary:
· With the emergence of intelligent connected vehicles (ICVs) and advanced communication technologies, information interaction has become a critical factor for optimizing traffic systems. This session focuses on the transformative impact of real-time data exchange and information flow among vehicles, infrastructure, and stakeholders within intelligent and connected environments. Discussion topics include policy and regulatory support for information-driven mobility, innovative planning and management strategies enabled by vehicle-to-everything (V2X) communication, and the implications of enhanced information interaction for traffic efficiency. The session aims to promote interdisciplinary dialogue and highlight the pivotal role of information interaction in shaping the future of intelligent transportation systems.
· 随着智能网联汽车和先进通信技术的普及，信息交互已成为交通系统优化的关键因素。本专题将重点探讨在智能网联环境下，车辆、基础设施及相关方之间的实时数据交换与信息流动对交通运行和管理的深刻影响。讨论内容涵盖基于信息驱动的出行政策与管理支持、V2X通信赋能的创新规划与管控策略，以及加强信息交互对交通效率的促进作用。专题旨在推动跨学科交流，突显信息交互在智能交通系统未来发展中的核心地位。
Submission Deadline: 2025.10.7