Probe data-driven travel time forecasting for urban expressways by matching similar spatiotemporal traffic patterns

Author:

Zhang Zhihao,Wang Yunpeng,Chen Peng,He Zhengbing,Yu Guizhen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference53 articles.

1. A Travel Time Prediction Method Based on Pattern Matching Technique;Bajwa,2003

2. Performance evaluation of an adaptive travel time prediction model;Bajwa;Intell. Transport. Syst. Proc.,2005

3. Application of the ARIMA models to urban roadway travel time prediction – a case study;Billings;IEEE Int. Conf. Syst., Man Cybern.,2006

4. A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting;Cai;Transport. Res. Part C: Emerging Technol.,2016

5. Flow-based freeway travel-time estimation: a comparative evaluation within dynamic path loading;Celikoglu;IEEE Trans. Intell. Transp. Syst.,2013

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