| A novel perspective on travel demand prediction considering natural environmental and socioeconomic factors Z Xu, Z Lv, J Li, H Sun, Z Sheng IEEE Intelligent Transportation Systems Magazine 15 (1), 136-159, 2022 | 75 | 2022 |
| A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic Y Wang, Z Lv, Z Sheng, H Sun, A Zhao Advanced Engineering Informatics 53, 101678, 2022 | 36 | 2022 |
| Traffic flow forecasting in the covid-19: A deep spatial-temporal model based on discrete wavelet transformation H Li, Z Lv, J Li, Z Xu, Y Wang, H Sun, Z Sheng ACM Transactions on Knowledge Discovery from Data 17 (5), 1-28, 2023 | 28 | 2023 |
| Taxi travel time prediction based on fusion of traffic condition features Z Sheng, Z Lv, J Li, Z Xu, H Sun, X Liu, R Ye Computers and Electrical Engineering 105, 108530, 2023 | 17 | 2023 |
| Will the Order Be Canceled? Order Cancellation Probability Prediction Based on Deep Residual Model H Sun, Z Lv, J Li, Z Xu, Z Sheng Transportation Research Record 2677 (6), 142-160, 2023 | 6 | 2023 |
| Prediction of Cancellation Probability of Online Car-Hailing Orders Based on Multi-source Heterogeneous Data Fusion H Sun, Z Lv, J Li, Z Xu, Z Sheng, Z Ma International Conference on Wireless Algorithms, Systems, and Applications …, 2022 | 6 | 2022 |
| A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors. IEEE Intelligent Transportation Systems Magazine (April 2022), 2-25 Z Xu, Z Lv, J Li, H Sun, Z Sheng | 5 | 2022 |
| Prediction of Crowd Flow in Key Areas Based on a Spatial-temporal Convolutional Model X Liu, H Sun, R Ye 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | | 2022 |
Zhaoyu ShengQingdao University在 qdu.edu.cn 的电子邮件经过验证
