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Smart Traffic Analytics in the Semantic Web with STAR-CITY: Scenarios, System and Lessons Learned in Dublin City

机译：使用sTaR-CITY在语义网中实现智能流量分析：都柏林市的情景，系统和经验教训

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Simone Tallevi-diotallevi; Jer Hayes; Robert Tucker; Veli Bicer; Marco Sbodio; Pierpaolo Tommasi;
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1. Smart traffic analytics in the semantic web with STAR-CITY: Scenarios, system and lessons learned in Dublin City [J] . Freddy Lecue, Simone Tallevi-Diotallevi, Jer Hayes, Journal of web semantics: . 2014,第augaaocta期

机译：借助STAR-CITY在语义网中进行智能交通分析：在都柏林市的场景，系统和经验教训
2. Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system [J] . A. Fernandez-Ares, A.M. Mora, M.G. Arenas, Future generation computer systems . 2017,第nova期

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3. Towards Energy Citizenship for a Just and Inclusive Transition: Lessons Learned on Collaborative Approach of Positive Energy Districts from the EU Horizon2020 Smart Cities and Communities Projects [J] . Rosamaria Olivadese, Beril Alpagut, Beatriz Pineda Revilla, Proceedings . 2021,第1期

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4. Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio [C] . Freddy Lecue, Robert Tucker, Simone Tallevi-Diotallevi, International semantic web conference . 2014

机译：STAR-CITY的语义交通诊断：从都柏林，博洛尼亚，迈阿密和里约热内卢部署的体系结构和经验教训
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6. Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City [O] . Johan Barthélemy, Nicolas Verstaevel, Hugh Forehead, 2019

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7. Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter [O] . Ana L. C. Bazzan 2012

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Smart Traffic Analytics in the Semantic Web with STAR-CITY: Scenarios, System and Lessons Learned in Dublin City

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