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Ⅰ. During the planning and design stage, experiences and research results on the green and intelligent planning and design of comprehensive transportation (including railways, tracks, and highways) have been shared, such as:
规划设计阶段，铁路、轨道、公路等综合交通绿色智能规划设计的实践经验分享、研究探索成果，如：
· Practical application of green and intelligent line selection technology for intercity railways under the guidance of station-city integration
(站城融合导向下城际铁路绿色智能选线技术实践)
· Research and application of green design technologies for the entire life cycle of railways, tracks, and highways
(铁路/轨道/公路全生命周期绿色设计技术研究与应用)
· Application of artificial intelligence to enable forward design of low-carbon structures for the entire life cycle of railway, track, and road foundations, bridges, and tunnels
(人工智能赋能铁路/轨道/道路路基、桥梁、隧道全生命周期低碳结构正向设计)
· Green planning and development technologies for integrated transportation hubs under the station-city integration model
(站城融合模式下综合交通枢纽绿色规划与开发技术)
· Spatial planning and supporting design for integrated transportation of low-altitude take-off and landing stations, airspace, and ground railways, tracks, and highways
(低空起降场站、空域与地面铁路、轨道、公路联运一体化空间规划与配套设计)
· The Practice and Exploration of Intelligent Measurement Technology in the Surveying Phase
(智能化测量技术在勘测阶段的实践与探索)
Ⅱ. During the construction stage, experiences and research results on green and intelligent construction of comprehensive transportation such as railways, tracks, and highways, including:
施工建设阶段，铁路、轨道、公路等综合交通绿色智能施工建设的实践经验分享、研究探索成果，如：
· Practical exploration of low-carbon building materials and smart construction for railways, tracks, and infrastructure
(铁路/轨道/公路/ 基础设施低碳建材与智慧工地实践探索)
· Application of artificial intelligence in low-carbon construction of infrastructure
(人工智能在基础设施低碳施工中的应用)
· Planning and modular intelligent construction practice of photovoltaic, storage, and charging systems for railway, track, and road stations
(铁路/轨道/公路场站光储充一体化系统规划、模块化智能建造实践)
Ⅲ . During the operation and maintenance stage, experiences and research results on green and intelligent operation and maintenance of comprehensive transportation such as railways, tracks, and highways, including:
运营维护阶段，铁路、轨道、公路等综合交通绿色智能运维的实践经验分享、研究探索成果，如：
· Research and application of AI detection technology for carbon reduction management in tunnels and bridges
(AI检测技术在隧道/桥梁降碳管养的研究及应用)
· Research and practice of multi-sensor, detection intelligent technologies for railway/track rail damage identification, assessment, and life prediction
(多元感知、检测智能技术在铁路/轨道钢轨伤损识别、评估与寿命预测的研究与实践)
· Research and practice of intelligent early warning and low-carbon maintenance based on multi-source monitoring data fusion for line defects
(多源监测数据融合下线路病害智能预警与低碳养护研究及实践)
· Construction of a digital foundation for management, maintenance, and operation integration and intelligent low-carbon operation and maintenance management
(建管养一体化数字底座搭建与智能低碳运维管控)
· Integrated planning and special design of vehicle-road collaboration, as well as practical implementation
(车路协同一体化规划与专项设计及落地实践)
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Importance: Aligning with the strategies of building a transportation powerhouse, achieving carbon neutrality, and advancing AI technology, it addresses the high energy consumption and inefficient operation problems in railway, track, and highway infrastructure, and integrates digital and low-carbon technologies throughout the entire process of planning, construction, and operation. This helps the transportation industry achieve a low-carbon transformation and high-quality development.
Target Audience: Transportation design institute technicians, railway, urban rail, highway construction and operation practitioners, industry researchers, teachers and students of transportation-related majors, industry management departments, and personnel involved in the research and development of new energy and intelligent equipment.
Expected Benefits: Sharing green and intelligent technical solutions and implementation cases for the entire design-construction-operation chain, exchanging cutting-edge exploration results, establishing cross-domain cooperation channels, and forming feasible engineering application ideas.
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