Strategies of Sustainable Transportation in Urban Planning
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 6556
Special Issue Editor
Special Issue Information
Dear Colleagues,
Urban planning and its relevant transportation deployment have a particularly profound influence on the sustainability and liveability of a city, and which will also be crucial to the quality of life of urban residents at the same time. It was also suggested that the conception of liveability should be extended to embrace the concerns associated with the sustainability. The connection between urban/regional traffic and urban behaviour has become one of the important focuses of urban research, and the traffic framework, linked to the rhythmic movement of urban entities, provides the key to restoring the organizational process and self-organization of urban complex systems. Often referred to as externalities, this connection determines the development, potential, constraints, and sustainability of urban entities—population, capital, behaviour, assets, scenarios, and even the sense of belonging and well-being of different social groups. Following the rising advancements in social communication and computer technologies in modern society, big data analysis technology, artificial intelligence technology, and virtual reality technology play an important role in urban planning for sustainable transportation. These methods include advanced decision-making policies for traffic control, autonomous vehicles approaches, and 3D urban reconstruction approaches for traffic planning.
This Special Issue will highlight new opportunities and challenges for sustainable transportation in urban planning, focusing on how to use big data analysis technology, autonomous vehicles technology and 3D reconstruction technology to improve and evaluate the transportation system in urban planning.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Analysis of the link between urban/regional traffic and urban behaviour;
- Research on organizational processes and self-organized traffic frameworks and rhythmic movements of urban entities for the restoration of urban complex systems;
- Big data applications to sustainable transport and traffic control modelling;
- Data analysis on pedestrian flow and traffic flow, especially how to improve traffic flow capacity through big data processing technology;
- Decision-making system to assist traffic control network managers in planning, monitoring, and managing;
- Computer vision technology on scene recognition of road traffic;
- Vehicle perception technology on road traffic environment;
- Autonomous vehicles technology in transport safety and the driving behaviours;
- 3D object recognition in urban traffic;
- Optimizing the designs and operations of transportation facilities by 3D simulation. Evaluating the effectiveness of various measures on relieving traffic congestion, reducing traffic emission, and improving traffic sustainability.
We look forward to receiving your contributions.
Dr. Wanggen Wan
Guest Editor
Manuscript Submission Information
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Keywords
- urban planning
- sustainable transportation
- data analysis
- artificial intelligence
- virtual reality
- autonomous vehicles
- 3D reconstruction
- object recognition
- scene recognition
- decision-making system