Sustainable and Smart Transportation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (30 October 2022) | Viewed by 7358
Special Issue Editors
Interests: rail transit operation organization; optimal design of railway passenger transport products; optimization of collaborative organization of urban public transportation
Interests: supply chain operations; logistics networks and city logistics; logistics ecosystem planning; the application of big data in logistics engineering and management
Special Issue Information
Dear Colleagues,
The sustainability of a transportation system is a major concerning factor for urbanization, as evidenced by the ever-growing problems of air pollution issues in major cities. While the growing population and migration do not have too much control to overcome the widespread use of public and personalized vehicles, they have destroyed our global environment. Therefore, the expansion of urban transportation systems should be carefully planned for sustainability: so-called sustainable and smart transportation. The research scope of this Special Issue includes but is not limited to the following aspects:
- Traffic congestion is one of the most critical issues in developing sustainable transportation in smart cities. As the Internet of Things evolves, connected vehicle technology has arisen as an essential research topic in smart, sustainable transportation.
- Serious challenges such as rapid growth in population, environmental pollution, and the possibility of energy shortage have motivated researchers to design optimal energy operation strategies through the smart city concept. Buildings and electric transport systems, especially subway systems and plug-in electric vehicles (PEVs), are among the major energy consumption systems in a smart city.
- In developing cities and with increasing populations, smart transportation becomes an essential component of modern Extensive research activities using machine learning techniques and several industrial needs have paved the way for the emerging field of smart transportation.
Dr. Wenliang Zhou
Prof. Dr. Peng Yang
Guest Editors
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Keywords
- sustainable transportation
- green optimization
- energy-efficient technology
- smart transportation
- machine learning
- swarm intelligence
- congestion mitigation
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