Trust in Smart City Mobility Applications: A Multi-Agent System Perspective
This chapter presents a recommendation system framework for smart mobility applications, emphasizing traffic monitoring and parking management in smart cities. Using Reinforcement Learning (RL) and Social Network (SN) concepts, the methodology classifies agents as trustworthy or untrustworthy, tackl...
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| Format: | Article |
| Language: | English |
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Universidade do Porto
2025-05-01
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| Series: | U.Porto Journal of Engineering |
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| Online Access: | https://journalengineering.fe.up.pt/index.php/upjeng/article/view/2665 |
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| _version_ | 1849702731894226944 |
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| author | Maryam Javaherian |
| author_facet | Maryam Javaherian |
| author_sort | Maryam Javaherian |
| collection | DOAJ |
| description | This chapter presents a recommendation system framework for smart mobility applications, emphasizing traffic monitoring and parking management in smart cities. Using Reinforcement Learning (RL) and Social Network (SN) concepts, the methodology classifies agents as trustworthy or untrustworthy, tackling multi-agent system challenges in uncertain environments. The research aims to create algorithms and models for safe, efficient, sustainable mobility solutions, addressing data exchange and decision-making issues. Agents gather and process information, make decisions with incomplete data, and interact to achieve goals. Real-world data will validate the approach, enhancing decision-making and improving urban mobility.
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| format | Article |
| id | doaj-art-64faed56f0d24e8cb113e5e63388ddf2 |
| institution | DOAJ |
| issn | 2183-6493 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Universidade do Porto |
| record_format | Article |
| series | U.Porto Journal of Engineering |
| spelling | doaj-art-64faed56f0d24e8cb113e5e63388ddf22025-08-20T03:17:32ZengUniversidade do PortoU.Porto Journal of Engineering2183-64932025-05-0111110.24840/2183-6493_0011-001_002665Trust in Smart City Mobility Applications: A Multi-Agent System PerspectiveMaryam Javaherian0https://orcid.org/0000-0001-9079-3611Universidade do Porto, Faculdade de Engenharia, Departamento de Engenharia Eletrotécnica e de ComputadoresThis chapter presents a recommendation system framework for smart mobility applications, emphasizing traffic monitoring and parking management in smart cities. Using Reinforcement Learning (RL) and Social Network (SN) concepts, the methodology classifies agents as trustworthy or untrustworthy, tackling multi-agent system challenges in uncertain environments. The research aims to create algorithms and models for safe, efficient, sustainable mobility solutions, addressing data exchange and decision-making issues. Agents gather and process information, make decisions with incomplete data, and interact to achieve goals. Real-world data will validate the approach, enhancing decision-making and improving urban mobility. https://journalengineering.fe.up.pt/index.php/upjeng/article/view/2665Multi-agent SystemTrustworthinessSmart CityReinforcement LearningSocial NetworksTransportation System |
| spellingShingle | Maryam Javaherian Trust in Smart City Mobility Applications: A Multi-Agent System Perspective U.Porto Journal of Engineering Multi-agent System Trustworthiness Smart City Reinforcement Learning Social Networks Transportation System |
| title | Trust in Smart City Mobility Applications: A Multi-Agent System Perspective |
| title_full | Trust in Smart City Mobility Applications: A Multi-Agent System Perspective |
| title_fullStr | Trust in Smart City Mobility Applications: A Multi-Agent System Perspective |
| title_full_unstemmed | Trust in Smart City Mobility Applications: A Multi-Agent System Perspective |
| title_short | Trust in Smart City Mobility Applications: A Multi-Agent System Perspective |
| title_sort | trust in smart city mobility applications a multi agent system perspective |
| topic | Multi-agent System Trustworthiness Smart City Reinforcement Learning Social Networks Transportation System |
| url | https://journalengineering.fe.up.pt/index.php/upjeng/article/view/2665 |
| work_keys_str_mv | AT maryamjavaherian trustinsmartcitymobilityapplicationsamultiagentsystemperspective |