Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data

By Senzhang Wang, Xiaoming Zhang, Jianping Cao, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang. 2017

78 citations recorded by the source corpus.

Subfields: Building and Construction, Transportation, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Philip S. Yu
2. Senzhang Wang

In Transportation

1. Senzhang Wang
2. Philip S. Yu

In Signal Processing

1. Philip S. Yu
2. Lihong Wang
3. Senzhang Wang
4. Charu C. Aggarwal
5. Jiawei Han
6. Pavel Berkhin

Citations in the corpus

• Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020, background): “In addition to parametric learning based predictive models, there are some researchers having attempted to integrate multi-source traffic data including external factors such as traffic accidents, festival, weather, etc [31, 32, 33, 10, 11].”