Improved k-nn for Short-Term Traffic Forecasting Using Temporal and Spatial Information-Reference-Cited by-同舟云学术

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Improved k-nn for Short-Term Traffic Forecasting Using Temporal and Spatial Information

Published:2014-07 Issue:7 Volume:140 Page:04014026
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Wu Shanhua¹,Yang Zhongzhen²,Zhu Xiaocong¹,Yu Bin³

Affiliation:

1. Transportation Management College, Dalian Maritime Univ., Dalian 116026, China.

2. Professor, Transportation Management College, Dalian Maritime Univ., Dalian 116026, China (corresponding author).

3. Professor, Transportation Management College, Dalian Maritime Univ., Dalian 116026, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000672

Reference29 articles.

1. An introduction to kernel and nearest-neighbour nonparametric regression;Altman N. S.;Am. Statistician,1992

2. Alternative approaches for reducing congestion in Baton Rouge, Louisiana

3. Forecasting histogram time series with k-nearest neighbours methods

4. MODELING STREAM SPEED IN HETEROGENEOUS TRAFFIC ENVIRONMENT USING ANN‐LESSONS LEARNT

5. Congestion and emissions mitigation: A comparison of capacity, demand, and vehicle based strategies

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