Building sparse models for traffic flow prediction: an empirical comparison between statistical heuristics and geometric heuristics for Bayesian network approaches-Reference-Cited by-同舟云学术

Building sparse models for traffic flow prediction: an empirical comparison between statistical heuristics and geometric heuristics for Bayesian network approaches

Published:2017-07-24 Issue:1 Volume:7 Page:107-123
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Li Zhiheng¹²,Jiang Shan¹²,Li Li¹,Li Yuebiao¹

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, People’s Republic of China

2. Graduate School at Shenzhen, Tsinghua University, Shenzhen, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Transportation,Modelling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2017.1354737

Reference60 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

3. Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting

4. The retrieval of intra-day trend and its influence on traffic prediction

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