Optimizing Smart City Street Design with Interval-Fuzzy Multi-Criteria Decision Making and Game Theory for Autonomous Vehicles and Cyclists

Optimizing Smart City Street Design with Interval-Fuzzy Multi-Criteria Decision Making and Game Theory for Autonomous Vehicles and Cyclists

Encouraging older and newer mobility alternatives to standard privately owned cars, such as cycling and autonomous vehicles, is necessary to reduce pollution, enhance safety, increase transportation efficiency, and create a more sustainable urban environment. Implementing mobility plans that identif...

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Bibliographic Details
Main Authors: Maryam Fayyaz, Gaetano Fusco, Chiara Colombaroni, Esther González-González, Soledad Nogués
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Smart Cities
Subjects:
autonomous vehicles
smart city
street design
game theory
interval-fuzzy MCDM
Online Access:https://www.mdpi.com/2624-6511/7/6/152
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