Taylor & Francis期刊
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作者:Li He , Bruno Agard , Martin Trépanier
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.56-75
摘要:ABSTRACT(#br)A classification of the behavior of smart card users is important in the field of public transit demand analysis. It provides an understanding of people’s sequence of activities within a period of time. However, classical metrics such as Euclidean distance is no...
作者:Mohamed El Esawey
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.5-22
摘要:ABSTRACT(#br)A data-driven, yet novel, multiple imputation model was proposed to estimate missing counts at permanent count stations. The model was motivated by the spatial–temporal relationship of cycling volumes of nearby facilities as well as the strong correlation betwee...
作者:Dongwei Xu , Yongdong Wang , Peng Peng ...
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.104-118
摘要:The real-time and accurate prediction of road traffic states is the basis of information service for road traffic participants. An algorithm based on kernel K-nearest neighbors (kernel-KNN) is presented to predict road traffic states in time series in this paper. First, represent...
作者:Pengxiang Zhao , Xintao Liu , Mei-Po Kwan ...
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.137-160
摘要:ABSTRACT(#br)In recent years, some big cities in China have established a number of ‘taxi canteens,’ which are special cafeterias intended only for cabdrivers to dine and rest. To dine and rest at the appropriate time is one of the most concerned problems for cabdrivers, sin...
作者:Yunzhe Liu , Tao Cheng
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.76-103
摘要:ABSTRACT(#br)Plentiful studies have discussed the potential applications of contactless smart card from understanding interchange patterns to transit network analysis and user classifications. However, the incomplete and anonymous nature of the smart card data inherently lim...
作者:Menno Yap , Oded Cats , Bart van Arem
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.23-42
摘要:ABSTRACT(#br)Crowding in public transport can be of major influence on passengers’ travel experience and therefore affect route and mode choice. In this study, crowding valuation for urban tram and bus travelling is determined fully based on revealed preference data. Urban t...
作者:Timothy F. Welch , Steven R. Gehrke , Alyas Widita
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.43-55
摘要:ABSTRACT(#br)The emergence of new shared-use mobility options such as bikeshare and ride-hailing services render the traditional dichotomy between personal vehicles and public transit somewhat irrelevant. Transportation planners and policymakers have yet to conclude whether these...
作者:Mingxiao Li , Feng Lu , Hengcai Zhang ...
来源:[J].Transportmetrica A: Transport Science, 2020, Vol.16 (1), pp.119-136
摘要:ABSTRACT(#br)Trajectory prediction plays an important role in supporting many advanced applications such as location-based services and advanced intelligent traffic managements. Most existing trajectory prediction methods employed fixed spatial division and focused on human close...
作者:Nazar Baker , Ger Kelly , Paul D. O'Sullivan
来源:[J].International Journal of Ventilation(IF 0.224), 2020, Vol.19 (4), pp.300-314
摘要:Abstract(#br)The Grid Convergence Index ( ) method requires at least three systematic mesh refinements, each requiring the numerical solution to be in the asymptotic range. When t...

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