
Welcome to DCIT
2027 4th International Conference on Digital City and Intelligent Transportation
Countdown to the Conference:
With the accelerating advancement of urban digital transformation and the development of intelligent transportation systems, data-driven urban governance and transportation services are becoming core pathways for improving urban operational efficiency and residents’ travel experience. The 4th International Conference on Digital City and Intelligent Transportation (DCIT 2027) will be held in Nanning, Guangxi, China, from August 6 to 8, 2027, aiming to provide a high-level academic exchange platform for global scholars, engineers, and industry experts.
The conference solicits papers in six major areas: intelligent transportation systems and traffic management; intelligent connectivity and autonomous vehicles; low-carbon and sustainable transportation; transportation big data and artificial intelligence; smart city systems and smart governance; and urban big data, artificial intelligence, and data analytics. We cordially invite scholars, researchers, and industry professionals from universities, research institutions, and enterprises at home and abroad to submit papers and attend the conference, jointly exploring pathways for the coordinated development of digital cities and intelligent transportation.
Full Paper
Submission Date
June
06
2027
Notification of
Acceptance
July
06
2027
Registration
Deadline
July
23
2027
Conference
Dates
August
06-08
2027
The topics of interest for submission include, but are not limited to:
📚︎Intelligent Transportation Systems and Traffic Management
· Traffic flow theory, modeling and simulation
· Traffic signal control and optimization
· Traffic state estimation and prediction
· Transportation planning and network design
· Public transit systems and Mobility as a Service (MaaS)
· Multimodal transportation planning and operations
· Travel behavior analysis and demand management
· Traffic safety analysis and incident management
· Congestion management and traffic operations strategies
· ITS evaluation, testing and deployment
📚︎Connected and Autonomous Vehicles
· Environment perception and sensor fusion
· Vehicle positioning and high-definition mapping
· Decision-making and motion planning for autonomous driving
· Vehicle dynamics and trajectory control
· Vehicle-to-Everything (V2X) communications and networking
· Vehicle platooning and cooperative driving
· Vehicle-road-cloud integrated systems
· Human-machine interaction and driver behavior modeling
· Testing, verification and safety validation
· Onboard edge computing, cybersecurity and data privacy
📚︎Low-Carbon and Sustainable Transportation
· Low-carbon and sustainable urban transportation
· Green transportation and new energy vehicles
· Electric vehicle charging infrastructure and vehicle-to-grid (V2G)
· Electrification of public transport systems
· Active mobility, shared mobility and green travel
· Carbon emission accounting and reduction pathways for transport
· Eco-driving and energy-efficient traffic operations
· Green logistics and low-carbon freight transportation
· Climate-adaptive and carbon-neutral transport planning
📚︎Traffic Big Data and Artificial Intelligence
· Traffic data analytics and mining
· Traffic flow and travel time prediction
· Deep learning for spatio-temporal transportation data
· Graph neural networks for transportation networks
· Large language models and generative AI in transportation
· Reinforcement learning for traffic control and decision-making
· Federated learning and privacy-preserving data analysis
· Computer vision for traffic perception and behavior analysis
· Cloud-edge collaborative computing for intelligent transportation
📚︎Smart City Systems and Smart Governance
· Smart city architectures and platforms
· Smart city planning and management
· E-government and digital governance
· Smart homes, smart buildings and smart communities
· Smart grid and urban energy management
· Smart city standards, evaluation and interoperability
· Cybersecurity and privacy protection in smart cities
· Blockchain and trusted data services for smart cities
· Sustainable smart city development
· Data-driven urban governance and public services
📚︎Urban Big Data, Artificial Intelligence and Data Analytics
· Big data analytics for smart cities
· Machine learning and deep learning for urban applications
· Spatio-temporal data mining and urban computing
· Computer vision and video analytics for urban surveillance
· Federated learning and privacy-preserving AI
· Data-driven decision support systems
· Knowledge graphs and semantic technologies for urban data
· Predictive modeling and forecasting of urban systems
· Data visualization and human-computer interaction
· Large language models and generative AI for city services
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.