A Bayesian Additive Model for Understanding Public Transport Usage in Special Events

  title={A Bayesian Additive Model for Understanding Public Transport Usage in Special Events},
  author={Filipe Rodrigues and Stanislav S. Borysov and Bernardete Ribeiro and Francisco C. Pereira},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={39 11},
Public special events, like sports games, concerts and festivals are well known to create disruptions in transportation systems, often catching the operators by surprise. Although these are usually planned well in advance, their impact is difficult to predict, even when organisers and transportation operators coordinate. The problem highly increases when several events happen concurrently. To solve these problems, costly processes, heavily reliant on manual search and personal experience, are… CONTINUE READING
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Gaussian Processes for Machine Learning

Advanced Lectures on Machine Learning • 2009
View 3 Excerpts
Highly Influenced

BART : Bayesian Additive Regression Trees

HUGH, A.., +6 authors Mcculloch
View 3 Excerpts
Highly Influenced

Methodologies for Cross-Domain Data Fusion: An Overview

IEEE Transactions on Big Data • 2015
View 1 Excerpt

Short term ridership prediction in public transport by processing smart card data

N. van Oort, T. Brands, E. de Romph
Transportation Research Board Annual Meeting, no. 15-0773, 2015. • 2015

A multinomial logit model of mode and arrival time choices for planned special events

M. Chang, P. Lu
J. of the Eastern Asia Society for Transportation Studies, vol. 10, pp. 710–727, 2013. • 2013
View 1 Excerpt

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