Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction-Reference-Cited by-同舟云学术

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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Published:2017-04-10 Issue:4 Volume:17 Page:818
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Ma Xiaolei,Dai Zhuang,He Zhengbing,Ma Jihui,Wang Yong,Wang Yunpeng

Funder

National Natural Science Foundation of China

Beijing Nova Program

Beijing Natural Science Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/17/4/818/pdf

Reference41 articles.

1. Data-Driven Intelligent Transportation Systems: A Survey

2. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

3. Nonparametric Regression and Short‐Term Freeway Traffic Forecasting

4. Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences

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