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2020 – today
- 2024
[j6]Haiqiang Yang
, Zihan Li:
Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level Taxi Demand-Supply Imbalance Using GPS Trajectories. ISPRS Int. J. Geo Inf. 13(2): 34 (2024)- 2022
- [j5]Haiqiang Yang, Xinming Zhang, Zihan Li, Jianxun Cui:
Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data. Remote. Sens. 14(2): 303 (2022) - 2021
- [j4]Xinming Zhang, Min Yan, Binglei Xie, Haiqiang Yang, Hang Ma:
An automatic real-time bus schedule redesign method based on bus arrival time prediction. Adv. Eng. Informatics 48: 101295 (2021) - [c1]Ruijie Song, Haiqiang Yang:
Clustering and understanding traffic flow patterns of large scale urban roads. ICCAIS 2021: 246-250
2010 – 2019
- 2018
- [j3]Shi An, Haiqiang Yang, Jian Wang:
Revealing Recurrent Urban Congestion Evolution Patterns with Taxi Trajectories. ISPRS Int. J. Geo Inf. 7(4): 128 (2018) - 2017
- [j2]Shi An, Lei Wang, Haiqiang Yang, Jian Wang:
Discovering Public Transit Riders' Travel Pattern from GPS Data: A Case Study in Harbin. J. Sensors 2017: 5290795:1-5290795:8 (2017) - 2016
- [j1]Shi An, Haiqiang Yang, Jian Wang, Na Cui, Jianxun Cui:
Mining urban recurrent congestion evolution patterns from GPS-equipped vehicle mobility data. Inf. Sci. 373: 515-526 (2016)
Coauthor Index
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