Intelligent Urban Mobility
Decision Support Systems for Sustainable Transportation
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- Kiadói listaár EUR 167.99
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71 261 Ft (67 867 Ft + 5% áfa)
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- Kedvezmény(ek) 10% (cc. 7 126 Ft off)
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71 261 Ft
Beszerezhetőség
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A termék adatai:
- Kiadó Academic Press
- Megjelenés dátuma 2025. július 1.
- ISBN 9780443341601
- Kötéstípus Puhakötés
- Terjedelem250 oldal
- Méret 229x152 mm
- Nyelv angol 700
Kategóriák
Hosszú leírás:
Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change, focusing on applied soft computing techniques, artificial intelligence, and fuzzy systems to help researchers and professionals seeking to mitigate congestion and emissions through sustainable mobility initiatives. Bridging theory and real-world practice, this book provides information on future studies to drive progress in redesigning city transportation to reduce environmental impact and carbon emissions, highlighting innovative models and frameworks for the analysis of mobility options and planning sustainable transport systems.
Researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences interested in advancing sustainable urban mobility will find this to be a welcome reference offering technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options.
- Provides an overview of the most recent advances in the development of decision support systems for the implementation of sustainable urban mobility
- Presents various urban mobility applications using artificial intelligence, applied soft computing techniques, and other decision support systems
- Offers solutions for the design, development, and integration of sustainable urban transport options
Tartalomjegyzék:
1. Sustainable Urban Mobility Plans (SUMPs) - An Overview
2. Leveraging Meta-Heuristics and Deep Learning for Decision Support Systems in Sustainable Transport Applications
3. Consensus Reaching Process for Intelligent Vehicle Group Decision-Making in Smart Transportation System
4. Shared Electric Vehicle Usage Risk Prioritization Based on Integrated FMEA and CRADIS Methods with T-Spherical Uncertain Linguistic Information
5. Safety Risk Assessment of Autonomous Vehicles for Sustainable Transportation
6. Developing a GIS-Supported SVN-WENSLO-ARLON Hybrid Method for Bicycle Pooling Location Selection: A Case Study in Turkiye
7. Identifying Effective Risk Management Policies for Sustainable Urban Transportation Projects
8. Flexible Linguistic Consensus Decision Making for Sustainable Transport Practices
9. Optimization based decision making for sustainable transport: Insights into the aviation industry
10. A Generalized Hellinger Distance-Based Spherical Fuzzy TOPSIS Method for Sustainable Transport Systems Selection
11. Fuzzy multi-criteria decision making for assessing public transportation systems for sustainable transportation
12. Determining enablers for the application of sustainable and resilient urban transport systems using T-spherical fuzzy DEMATEL-ISM model
13. Selection of the solution for the integration of sustainable and resilient urban transport systems using linguistic T-spherical fuzzy COCOSO’B method
14. Sustainable AI-Assisted Energy-Efficient Edge Cloud System for Industrial Internet of Things Applications
