Regeneration Control, Sensing and Digital Twin of Eco-Environment
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 3229
Special Issue Editors
Interests: public transportation; vehicle automation; swarm intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: travel behavior and energy effects using quantitative methods; rural infrastructure management
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent transportation system, computer vision and intelligent control
Special Issue Information
Dear Colleagues,
Nowadays, modern cities are gradually developing in the direction of intelligence and ecology. For the eco-environment, making the dynamic evolution of the eco-environment measurable, observable and controllable through digital twinning (DT) technology and constructing the cyber-physical systems (CPSs) of the eco-environment will become the construction goals of eco-friendly smart cities and villages in the future. These goals have been envisioned as effective measures to promote the digital and intelligent development of modern cities and new countryside areas, and build a regeneration control system for smart cities and villages. However, a challenging issue is being faced in harnessing the multi-source and multi-dimensional data perception and control of the eco-environment.
DT technology leverages machine learning and the Internet of Things (IoTs) to create digital replicas of objects and constantly update replicas with real-time data from sensors. Empowered by DT technology, we can dynamically predict and optimize the evolution of the eco-environment. Meanwhile, regeneration control technology, which aims to recover the energy that would have been dissipated, holds great promise for improving energy utilization efficiency and reducing energy waste. The objective of this Special Issue is to promote the construction of eco-friendly smart cities and villages using DT technology and regeneration control technology. Particular attention will be given to the following themes and areas; however, it should be stressed that a broad range of submissions are encouraged. Potential topics of interest include, but are not limited to, the following:
- Monitoring and cyber-physical system for water, air and soil in eco-environment based on IoTs;
- Construction of transportation environment based on DT technology;
- Parallel simulation technology of regenerative braking control for intelligent connected vehicle;
- Evaluation of transportation environment based on big data technology;
- Intelligent monitoring technology for fire and smoke in transportation based on deep learning;
- Stakeholder engagement in the construction of eco-friendly smart cities using regeneration control and digital twin technology;
- Differences in the application of digital twin technology in urban and rural areas.
Prof. Dr. Baozhen Yao
Prof. Dr. Yibin Ao
Dr. Ronghui Zhang
Prof. Dr. Xing Zhu
Guest Editors
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