Bayesian optimization for congestion pricing problems: A general framework and its instability J Huo, Z Liu, J Chen, Q Cheng, Q Meng Transportation research part B: methodological 169, 1-28, 2023 | 28 | 2023 |
Short-term estimation and prediction of pedestrian density in urban hot spots based on mobile phone data J Huo, X Fu, Z Liu, Q Zhang IEEE transactions on intelligent transportation systems 23 (8), 10827-10838, 2021 | 28 | 2021 |
Gaussian process regression for transportation system estimation and prediction problems: The deformation and a hat kernel Z Liu, C Lyu, J Huo, S Wang, J Chen IEEE Transactions on Intelligent Transportation Systems 23 (11), 22331-22342, 2022 | 24 | 2022 |
Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach J Huo, C Liu, J Chen, Q Meng, J Wang, Z Liu Transportation Research Part E: Logistics and Transportation Review 173, 103108, 2023 | 20 | 2023 |
Quantify the road link performance and capacity using deep learning models J Huo, X Wu, C Lyu, W Zhang, Z Liu IEEE Transactions on Intelligent Transportation Systems 23 (10), 18581-18591, 2022 | 19 | 2022 |
A composite transportation network design problem with land-air coordinated operations H Zhang, J Huo, C Chen, Z Liu Transportation Research Part C: Emerging Technologies 171, 104967, 2025 | | 2025 |
The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram Y Di, W Zhang, H Shi, H Ding, J Huo, B Ran arXiv preprint arXiv:2406.08750, 2024 | | 2024 |
A Hybrid Ranking and Selection Procedure to Solve Simulation-Based Discrete Network Design Problems J Huo, Z Liu, Z Gu, C Chen Available at SSRN 4760710, 0 | | |
A Heteroscedastic Robust Bayesian Optimization Method for Solving Simulation-Based Transportation Problems J Huo, Z Liu, Z Gu, S Wang, G Laporte Available at SSRN 4772850, 0 | | |