Special Issue "Technical Support of Digital Twins to Smart City and Intelligent Transportation"
Deadline for manuscript submissions: 31 March 2022.
Interests: virtual / augmented reality; multimedia; human-computer interaction; networks; geographic information
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; particularly image compression, motion estimation, demosaicking and image enhancement, and computational intelligence, such as fuzzy and rough sets theories
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Digital Twins (DTs) support the integration of business data of various departments of transportation. Based on geographic information systems, we can monitor the distribution and status of key elements such as buses, parking lots, shared bikes and key vehicles in real time and support spot selection to view detailed information of elements such as maneuvering targets, police forces, and video surveillance. A wealth of visual charts is provided to conduct multi-dimensional visual analysis of data indicators, such as traffic operation, intelligent event perception, key object governance, traffic supply and traffic population distribution, to assist managers in comprehensively grasping the overall traffic operation situation. As for the important transportation hubs, reproduction can be realized on the surrounding environment, buildings, roads, water and other factors of transportation hubs through visual DTs.
In the process of sustainable development of intelligent transportation, intelligent electric vehicles have become the mainstream, which need to be optimized by support architecture in a sustainable way. One of the novel architectures is DTs, which is a virtual mapping technique that can study the lifecycle of multi-system entities in a digital environment. DTs can realize the hardware simulation of physical equipment and network models. If design defects are found in the deployment process of the traditional irreversible design method, this method can be used to avoid the huge losses incurred due to the reconstruction of manufacturing systems. In the field of intelligent transportation, DTs can be used to implement complete or partial vehicle virtual models. This process involves collecting vehicular behavior and function information to analyze the actual performance of vehicles and provide specific support for customers. Engineers explore artificial intelligence technology to design ideal production methods before automotive products enter production lines. By analyzing these simulation models, potential problems such as vehicle failure and traffic wear can be predicted. DT technology has had a great impact on intelligent electric vehicles because it can model and optimize all aspects of the system. DTs technology has had a great influence on the development of autonomous navigation vehicles (AGV). Autonomous machine decision-making can be achieved by implanting a cyber physical system (CPS) architecture with different configurations and algorithms, which depend on the objectives of the model. With this superior system, machines can perform tasks and enhance task performance actively through adaptive behavior. AGV control is operated in an incremental manner, and each step is calculated by an odometer to form a feasible path to the destination point.
DT technology is a relatively new technology in the field of intelligent transportation, which opens the way towards sustainable and efficient economic development. Intelligent transportation and autonomous driving are no longer just a technical vision but a real technical trend all around the world. Using automatic monitoring sensors to optimize the power drive system of electric vehicles is also a research hotspot in this field. This special issue mainly collects the latest technical progress and application research of DTs in intelligent transportation and intelligent driving for scholars in the field of intelligent manufacturing and DTs.
Dr. Zhihan Lv
Dr. Gwanggil Jeon
Prof. Dr. Jun Shen
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Application of DTs in Vehicle Health Monitoring and Management
- Application of DTs in Multi-Type Map Data Fusion of Intelligent Transportation
- DTs in Intelligent Charging and Battery Management System for Electric Vehicles
- Construction of Photovoltaic Energy Conversion Circuit for Fault Diagnosis Based on DTs
- Mobility Prediction and Autonomous Motion Control for Intelligent Electric Vehicles Based on DTs
- Vehicle Health Management System and Electric Drive System Based on DTs
- Application of Cloud-Based DTs in Intelligent Transportation Data Transmission System
- Visual Interaction of Intelligent Transportation Stimulated by Combination of DTs and VR
- Safety Management of DTs Intelligent Transportation System Based on Internet of Things