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Full Description
Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints.
This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions.
Contents
1. An overview of Group Decision-Making Reliability for Sustainable Transportation (Concepts, Methodologies, Applications, and systems)
2. Citizen Participation and Transport sustainability: A Reliable Analytic Hierarchy Process Model under Fuzzy ZE-numbers
3. Strategies for Adapting to Dynamic Transportation Challenges: Reliable Framework Under Fuzzy ZE-BWM
4. Road Traffic Accident Based on the Behavior Attributes in Transportation: Consolidating Perspectives of Experts and Decision-Makers Under Fuzzy ZE-BCM
5. Assessment of relief transport challenges in areas with old infrastructure based on the reliability concept of ZE numbers
6. Decision Support Reliability Based on the Fuzzy ZE-LMAW in Urban Climate Change Policy for Transportation Activities
7. Consolidating perspectives of experts and decision-makers by Fuzzy ZE-TOPSIS on the sustainable urban transportation system
8. Assessment of Perishable goods Transportation Challenges using Decision-Making under Fuzzy ZE-numbers
9. Fuzzy ZE-VIKOR for Estimating Sustainable Mobility System
10. Enhancing Urban Transportation with Fuzzy ZE-Trust-Based Decision-Making for Metaverse Integration
11. Machine Learning Techniques in Road Safety: An Investigation into Applications, Challenges, and Opportunities
12. Integrating Urban Form, Transportation, and Energy Efficiency: A Reliable Guide for Decision-Makers Towards Sustainable Urban Mobility
13. Enhancing Citizen Engagement in Transportation Decision-Making Planning through Digital Voting using Artificial Intelligence
14. Bibliometric Analysis in Artificial Intelligence and Transportation: Evaluation of Research and Future Perspectives
15. Artificial Intelligence in Reliable Group Decision-Making for Sustainable Smart Transportation
16. Driving Towards Efficiency: Analysis of Driver Behavior and Fuel Consumption through Machine Learning
