Real-time analytics for urban road transport

作者: Sumit K. Mund

DOI:

关键词:

摘要: Urban road traffic congestion has been a constant problem both in UK and worldwide. Urban road transport authorities collect data from different sources. These data can be …

参考文章(47)
Isabel Cenamor, Lukáš Chrpa, Mauro Vallati, T.L. McCluskey, Falilat Jimoh, Planning & Scheduling Applications in Urban Traffic Management ,(2014)
Jean Bacon, Andrei Iu. Bejan, Alastair R. Beresford, David Evans, Richard J. Gibbens, Ken Moody, Using real-time road traffic data to evaluate congestion Dependable and Historic Computing. pp. 93- 117 ,(2011) , 10.1007/978-3-642-24541-1_9
Lukáš Chrpa, Mauro Vallati, Thomas L. McCluskey, Diane Kitchin, Mohammad M. Shah, Exploring knowledge engineering strategies in designing and modelling a road traffic accident management domain international joint conference on artificial intelligence. pp. 2373- 2379 ,(2013)
James Franklin, The elements of statistical learning : data mining, inference,and prediction The Mathematical Intelligencer. ,vol. 27, pp. 83- 85 ,(2005) , 10.1007/BF02985802
scar Marbn, Gonzalo Mariscal, Javier Segovi, A Data Mining & Knowledge Discovery Process Model Data Mining and Knowledge Discovery in Real Life Applications. ,(2009) , 10.5772/6438
Andy H.F. Chow, Alex Santacreu, Ioannis Tsapakis, Garavig Tanasaranond, Tao Cheng, Empirical assessment of urban traffic congestion Journal of Advanced Transportation. ,vol. 48, pp. 1000- 1016 ,(2014) , 10.1002/ATR.1241
Aaron N. Richter, Taghi M. Khoshgoftaar, Sara Landset, Tawfiq Hasanin, A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data information reuse and integration. pp. 1- 8 ,(2015) , 10.1109/IRI.2015.12
Byoungjo Yoon, Hyunho Chang, Potentialities of Data-Driven Nonparametric Regression in Urban Signalized Traffic Flow Forecasting Journal of Transportation Engineering-asce. ,vol. 140, pp. 04014027- ,(2014) , 10.1061/(ASCE)TE.1943-5436.0000662
Billy M. Williams, Lester A. Hoel, Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results Journal of Transportation Engineering-asce. ,vol. 129, pp. 664- 672 ,(2003) , 10.1061/(ASCE)0733-947X(2003)129:6(664)