154 citations · 296 across the 18 of their papers we have counts for
7 papers · 1 filter
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang, Renhe Jiang, Hao Xue +3
As a decisive part in the success of Mobility-as-a-Service (MaaS), spatio-temporal predictive modeling for crowd movements is a challenging task particularly considering scenarios…
Differentiable Projection for Constrained Deep Learning
Dou Huang, Haoran Zhang, Xuan Song +1
Deep neural networks (DNNs) have achieved extraordinary performance in solving different tasks in various fields. However, the conventional DNN model is steadily approaching the gr…
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…
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…
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…
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…
Small World Model for scaling up prediction result based on SEIR model
Guixu Lin, Defan Feng, Peiran Li +3
Data-driven epidemic simulation helps better policymaking. Compared with macro-scale simulations driven by statistical data, individual-level GPS data can afford finer and spatiali…