Setting aside speed limit, traffic condition for a road network depends on two sets of factors, one determining the major and long-term part and the other short-term noises and variations. The former are caused by population, land use and transportation infrastructure and service; while the latter are due to weather, road accidents, and variations of travel demand related with seasons. In the literature, studies on the interaction between road traffic and the former factors are either longitudinal based on yearly-unit traffic change or in a cross-section manner. Identification of long-term traffic change from short-term variations can help to better understand, on a micro level, this interaction. However, very few studies have been done on this. This study aims to identify long-term traffic change trends, covering their modeling, generation and applications.
About the Speaker:
Mr. Run HUANG is currently a Ph.D student based at the Department of Urban Planning & Design, HKU. His current research focus is urban informatics, especially on road traffic. Before joining HKU, He spent eight years in Wuhan University, mainland China, studying and working on Geographical Information Science and Software Engineering.
He was born and raised in mainland China. He used to travel a lot and make friends with people from all over the world.
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