Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information-Reference-Cited by-同舟云学术

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Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information

Published:2016-12 Issue:8 Volume:50 Page:2029-2040
ISSN:0197-6729
Container-title:Journal of Advanced Transportation
language:en
Short-container-title:J. Adv. Transp.

Author:

Li Linchao¹²³,He Shanglu¹²³,Zhang Jian¹²³,Ran Bin¹²³

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS, School of TransportationSoutheast University Nanjing China

2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic TechnologiesSoutheast University Nanjing China

3. Research Center for Internet of MobilitySoutheast University Nanjing 210096 China

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/atr.1443

Reference40 articles.

1. Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis

2. Real-time road traffic prediction with spatio-temporal correlations

3. A review of travel time estimation and forecasting for Advanced Traveller Information Systems

4. Short‐term traffic forecasting: Overview of objectives and methods

5. Comparison of parametric and nonparametric models for traffic flow forecasting

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