activity
20172022
most citedDL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

154 citations · 167 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC20221 cited

TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley

Yifan Jiang, Zezheng Feng, Hongjun Wang +2

In recent years, deep learning approaches have been proved good performance in traffic flow prediction, many complex models have been proposed to make traffic flow prediction more…

cs.LG2021

An open GPS trajectory dataset and benchmark for travel mode detection

Jinyu Chen, Haoran Zhang, Xuan Song +1

Travel mode detection has been a hot topic in the field of GPS trajectory-related processing. Former scholars have developed many mathematical methods to improve the accuracy of de…

cs.LG2021154 cited

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

Renhe Jiang, Du Yin, Zhaonan Wang +7

Nowadays, with the rapid development of IoT (Internet of Things) and CPS (Cyber-Physical Systems) technologies, big spatiotemporal data are being generated from mobile phones, car…

cs.CY20214 cited

Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data

Wenjing Li, Haoran Zhang, Jinyu Chen +5

Life pattern clustering is essential for abstracting the groups' characteristics of daily mobility patterns and activity regularity. Based on millions of GPS records, this paper pr…

cs.CY2021

Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison

Yuhao Yao, Haoran Zhang, Jinyu Chen +4

Human mobility similarity comparison plays a critical role in mobility estimation/prediction model evaluation, mobility clustering and mobility matching, which exerts an enormous i…

cs.LG20198 cited

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction

Renhe Jiang, Zekun Cai, Zhaonan Wang +5

Nowadays, massive urban human mobility data are being generated from mobile phones, car navigation systems, and traffic sensors. Predicting the density and flow of the crowd or tra…