吃瓜视频

科研项目

1.为明天城市的清洁空气融资: 通过土地增值回馈确保城市可持续发展、 提高城市空气质量的潜力，国家自然科学基金，参与

2.智慧高速公路云平台关键算法联合攻关项目，中远海运集团，参与

3.基于人工智能的崇明隧桥节假日交通时空精细化预测模型研究，上海市城乡建设和交通发展研究院，参与

代表性论文和专著

[1]Wang T, Li Y, Cheng R, et al. Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach[J]. Transportation Research Part C: Emerging Technologies, 2026, 182: 105422.（中科院一区TOP）

[2]Wang T, Ngoduy D, Zou G, et al. PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction[J]. Expert Systems with Applications, 2024, 258: 125144. （中科院一区TOP）

[3]Wang T, Ngoduy D, Li Y, et al. Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction[J]. Chaos, Solitons & Fractals, 2024, 187: 115437. （中科院一区TOP）

[4]Wang T, Li Y, Lyu H, et al. Multi-scale feature-aware spatiotemporal graph convolutional network for highway traffic flow prediction[J]. Transportmetrica A: Transport Science, 2025: 2550377.

[5]Wang T, Cheng R, Wu Y. Stability analysis of heterogeneous traffic flow influenced by memory feedback control signal[J]. Applied Mathematical Modelling, 2022, 109: 693-708.

获奖与荣誉