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

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2022

Exploring the drive-by sensing power of bus fleet through active scheduling

Dai Zhuang, Ke Han

Vehicle-based mobile sensing (a.k.a drive-by sensing) is an important means of surveying urban environment by leveraging the mobility of public or private transport vehicles. Buses…

cs.LG2017★ 2 cited

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

Xiaolei Ma, Zhuang Dai, Zhengbing He +3

This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spati…