Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/8287
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dc.contributor.authorLau, Chi-Yaten_US
dc.contributor.authorDr. YUEN Man-Ching, Connieen_US
dc.contributor.authorYueng, Ka-Hoen_US
dc.contributor.authorFan, Cheuk-Panen_US
dc.contributor.authorKo, On-Yien_US
dc.contributor.authorNgan, Lit-Wangen_US
dc.contributor.authorTam, Wing-Chunen_US
dc.contributor.authorYeung, Wai-Namen_US
dc.date.accessioned2023-10-18T02:11:42Z-
dc.date.available2023-10-18T02:11:42Z-
dc.date.issued2022-
dc.identifier.citationLau, Chi-Yat, Yuen, Man-Ching, Yueng, Ka-Ho, Fan, Cheuk-Pan, Ko, On-Yi, Ngan, Lit-Wang, Tam, Wing-Chun & Yeung, Wai-Nam (2022 Jan 4-8). PC-based intelligent traffic monitoring system with real-time analysis for smart cities. In COMSNETS (Ed.). 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS). 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India (pp. 324-328). IEEE.en_US
dc.identifier.isbn978-1-6654-2104-1-
dc.identifier.isbn978-1-6654-2105-8-
dc.identifier.issn2155-2509-
dc.identifier.issn2155-2487-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/8287-
dc.description.abstractIn recent years, Hong Kong has been experiencing severe traffic problems and especially traffic congestion. In this paper, we proposed a traffic monitoring system which is PC-based, no infrastructure requirement but suitable for the complex road networks in Hong Kong. Besides, our system is designed to recognize vehicle type and plate number for vehicles commonly used in Hong Kong. By analyzing the data collected on road usage, we present our findings for decision-making regarding traffic policies.en_US
dc.language.isoenen_US
dc.titlePC-based intelligent traffic monitoring system with real-time analysis for smart citiesen_US
dc.typeConference Paperen_US
dc.relation.conference2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)en_US
dc.identifier.doi10.1109/COMSNETS53615.2022.9668589-
crisitem.author.deptDepartment of Applied Data Science-
item.fulltextNo Fulltext-
Appears in Collections:Applied Data Science - Publication
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