Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor
Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor
Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor
Kuang, Li (Autor:in) / Yan, Han (Autor:in) / Zhu, Yujia (Autor:in) / Tu, Shenmei (Autor:in) / Fan, Xiaoliang (Autor:in)
Journal of intelligent transportation systems ; 23 ; 161-174
01.01.2019
14 pages
Aufsatz (Zeitschrift)
Englisch
DDC:
388.312
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Traffic Incident Duration Prediction Based on K-Nearest Neighbor
British Library Conference Proceedings | 2013
|Composite Nearest Neighbor Nonparametric Regression to Improve Traffic Prediction
British Library Online Contents | 2007
|British Library Conference Proceedings | 2005
|