Traffic Incident Duration Prediction Based on K-Nearest Neighbor: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Traffic Incident Duration Prediction Based on K-Nearest Neighbor

Wen, Y. / Chen, S.Y. / Xiong, Q.Y. / Han, R.B.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Traffic Incident Duration Prediction Based on K-Nearest Neighbor

Wen, Y. / Chen, S.Y. / Xiong, Q.Y. / Han, R.B.

Traffic Incident Duration Prediction Based on K-Nearest Neighbor

Wen, Y. / Chen, S.Y. / Xiong, Q.Y. / Han, R.B.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Traffic Incident Duration Prediction Based on K-Nearest Neighbor

Contributors:

Wen, Y. (author) / Chen, S.Y. (author) / Xiong, Q.Y. (author) / Han, R.B. (author) / Zhang, Xiangdong / Li, Hongnan / Feng, Xiating

Conference:

International conference; 2nd, Civil engineering and transportation; Sustainable development of urban infrastructure: selected, peer reviewed papers from the 2nd international conference on civil engineering and transportation (ICCET 2012), October 27-28 2012, Guilin, China / ; 2012 ; Guilin, China

Published in:

Civil engineering and transportation; Sustainable development of urban infrastructure: selected, peer reviewed papers from the 2nd international conference on civil engineering and transportation (ICCET 2012), October 27-28 2012, Guilin, China / ; 1675-1681

APPLIED MECHANICS AND MATERIALS ; 253/255

Publication date:

2013-01-01

Size:

7 pages

Remarks:

Includes bibliographical references and index.

ISBN:

3037855649 , 9783037855645

ISSN:

Type of media:

Conference paper

Type of material:

Print

Language:

English

Keywords:

Sustainable development , Urban infrastructure , Civil engineering , Transportation , ICCET

© Metadata Copyright the British Library Board and other contributors. All rights reserved.

Similar titles

Composite Nearest Neighbor Nonparametric Regression to Improve Traffic Prediction

Kindzerske, M.D. / Ni, D. | British Library Online Contents | 2007

Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor

Kuang, Li / Yan, Han / Zhu, Yujia et al. | British Library Online Contents | 2019

Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method

Zhao, Hui / Gunardi, Willy / Liu, Yang et al. | ASCE | 2022

[kappa]-nearest neighbor model for multiple-time-step prediction of short-term traffic condition

Yu, Bin | Online Contents | 2016

k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition

Yao, Baozhen | Online Contents | 2016