A platform for research: civil engineering, architecture and urbanism
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 (author) / Yan, Han (author) / Zhu, Yujia (author) / Tu, Shenmei (author) / Fan, Xiaoliang (author)
Journal of intelligent transportation systems ; 23 ; 161-174
2019-01-01
14 pages
Article (Journal)
English
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
|