The conference, scheduled for August 25th-27th, 2027, in Shijiazhuang, China, will focus on the latest research in the field of ‘Artificial Intelligence and Urban Agglomeration Transportation Ecosystem’. The conference will cover core industries and intelligent control of urban agglomeration transportation, intelligent construction of transportation and technological innovation of equipment, intelligent upgrade of transportation logistics and supply chain and transportation empowerment for related industries and regional development. It aims to provide a high-level platform for researchers and scholars to showcase and exchange their research findings. Through keynote speeches, oral presentations, and poster displays, the conference will highlight the latest technological advancements and achievements, fostering technical exchanges and intellectual collisions. We sincerely invite experts, scholars, and professionals from universities, research institutions, and the business community, as well as other relevant individuals, to actively participate and engage in the exchange.
Topics include but not limited to: 1. Core Industries and Intelligent Control of Urban Agglomeration Transportation；2. Core Industries and Intelligent Control of Urban Agglomeration Transportation；3. Intelligent Upgrade of Transportation Logistics and Supply Chain；4. Transportation Empowerment for Related Industries and Regional Development
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The paper submission is now open and accepting author submissions. Please send your paper and related documents (if any) directly to conference email address: xueshu@eept.org.cn. Head over to the CFP page for more information.
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Organization of AIUTE 2027.
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All papers should be formatted according to the template, which will be sent to you upon acceptance.
AIUTE 2027 welcomes submissions of original and significant contributions. Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of submitted papers. All accepted papers will be published in conference proceedings and sent to EI Compendex, Scopus for indexing service.
Submission Deadline
Notification of Acceptance
Final camera-ready papers due
Date of Conference
All papers related to the theme of Artificial Intelligence and Urban Agglomeration Transportation Ecosystem can be submitted, including but not limited to the following topics:
Intelligent Planning of Cross-domain Transportation Networks
Intelligent Operation of Integrated Transportation Hubs
Traffic Flow Perception and Big Data Mining
Vehicle-Road Collaboration and Intelligent Vehicle-Road Integration
Digitalization of Transportation Governance and Intelligent Decision-Making
Intelligent Adaptation of Integrated Transportation Standard System
Intelligent Survey and Digital Design of Transportation Infrastructure
Intelligent Construction of Transportation Engineering and Smart Construction Site Management
Intelligent R&D and Scenario Adaptation of Transportation Equipment
Intelligent Operation and Maintenance and Structural Health Monitoring of Transportation Infrastructure
Intelligent Inspection and Full Life Cycle Management of Transportation Building Materials
Digital Twin-enabled Full Life Cycle Management of Transportation Engineering
Integrated Intelligent Organization and Scheduling of Multimodal Transport
Smart Warehousing and Collaborative Optimization of Transportation Networks
Intelligent Capacity Matching for Urban Last-Mile Delivery
Intelligent Planning and Risk Early Warning of Logistics Supply Chain
Cold Chain Logistics and Collaborative Empowerment of Transportation Networks
Transportation, Commercial Circulation and Supply Chain Innovation
Transportation Hub Economy and Industrial Agglomeration
Integration of Transportation, Culture and Tourism, and Smart Services
Transportation-enabled Urban-Rural Integration and Inclusive Services
Green and Low-Carbon Transportation and Circular Economy
Regional Transportation Coordination and Governance Modernization
Urban Agglomeration Transportation and Public Services Coordination
Beijing Zhonghuan Institute of Electric Power and Energy Big Data | International Association For Energy And Environmental Research |