| Control strategies for oversaturated traffic HK Lo, AHF Chow ASCE Journal of Transportation Engineering 130 (4), 466-478, 2004 | 158 | 2004 |
| Developments in mlflow: A system to accelerate the machine learning lifecycle A Chen, A Chow, A Davidson, A DCunha, A Ghodsi, SA Hong, ... Proceedings of the fourth international workshop on data management for end …, 2020 | 147 | 2020 |
| Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities Y Yan, AHF Chow, CP Ho, YH Kuo, Q Wu, C Ying Transportation Research Part E: Logistics and Transportation Review 162, 102712, 2022 | 144 | 2022 |
| Empirical assessment of urban traffic congestion AHF Chow, A Santacreu, I Tsapakis, G Tanasaranond, T Cheng Journal of Advanced Transportation 48 (8), 1000-1016, 2014 | 112 | 2014 |
| A dynamic spatial weight matrix and localized space-time autoregressive integrated moving average for network modeling T Cheng, J Wang, J Haworth, B Heydecker, A Chow Geographical Analysis 46, 75-97, 2014 | 109 | 2014 |
| Estimation of freeway traffic density with loop detector and probe vehicle data TZ Qiu, XY Lu, AHF Chow, SE Shladover Transportation Research Record: Journal of the Transportation Research Board …, 2010 | 99 | 2010 |
| Identification of critical combination of vulnerable links in transportation networks–a global optimisation approach DZW Wang, H Liu, WY Szeto, AHF Chow Transportmetrica A: Transport Science 12 (4), 346-365, 2016 | 93 | 2016 |
| A new approach for combined freeway variable speed limits and coordinated ramp metering XY Lu, P Varaiya, R Horowitz, D Su, SE Shladover 13th International IEEE Conference on Intelligent Transportation Systems …, 2010 | 91 | 2010 |
| Combining variable speed limits with ramp metering for freeway traffic control XY Lu, TZ Qiu, P Varaiya, R Horowitz, SE Shladover Proceedings of the 2010 american control conference, 2266-2271, 2010 | 89 | 2010 |
| Multi-objective optimal control formulations for bus service reliability with traffic signals AHF Chow, S Li, R Zhong Transportation Research Part B: Methodological 103, 248-268, 2017 | 87 | 2017 |
| An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand C Ying, AHF Chow, KS Chin Transportation Research Part B: Methodological 140, 210-235, 2020 | 76 | 2020 |
| Centralised and decentralised signal timing optimisation approaches for network traffic control AHF Chow, R Sha, S Li Transportation Research Part C: Emerging Technologies 113, 108-123, 2020 | 73 | 2020 |
| Properties of system optimal traffic assignment with departure time choice and its solution method AHF Chow Transportation Research Part B: Methodological 43 (3), 325-344, 2009 | 67 | 2009 |
| Sensitivity analysis of signal control with physical queuing: Delay derivatives and an application AHF Chow, HK Lo Transportation Research Part B: Methodological 41 (4), 462-477, 2007 | 66 | 2007 |
| Forecasting journey time distribution with consideration to abnormal traffic conditions RX Zhong, JC Luo, HX Cai, A Sumalee, FF Yuan, AHF Chow Transportation Research Part C: Emerging Technologies 85, 292-311, 2017 | 54 | 2017 |
| Improving interchanges in China: the experiential phenomenon R Hickman, CL Chen, A Chow, S Saxena Journal of Transport Geography 42, 175-186, 2015 | 50 | 2015 |
| Neuro-dynamic programming for optimal control of macroscopic fundamental diagram systems ZC Su, AHF Chow, N Zheng, YP Huang, EM Liang, RX Zhong Transportation Research Part C: Emerging Technologies 116, 102628, 2020 | 48 | 2020 |
| Domain adversarial spatial-temporal network: A transferable framework for short-term traffic forecasting across cities Y Tang, A Qu, AHF Chow, WHK Lam, SC Wong, W Ma Proceedings of the 31st ACM international conference on information …, 2022 | 46 | 2022 |
| Cost functions and multi-objective timetabling of mixed train services AHF Chow, A Pavlides Transportation Research Part A: Policy and Practice 113, 335-356, 2018 | 44 | 2018 |
| Adaptive metro service schedule and train composition with a proximal policy optimization approach based on deep reinforcement learning CS Ying, AHF Chow, YH Wang, KS Chin IEEE Transactions on Intelligent Transportation Systems 23 (7), 6895-6906, 2021 | 43 | 2021 |
Renxin ZHONGProfessor, School of Intelligent Systems Engineering, Sun Yat-Sen UniversityVerifisert e-postadresse på mail.sysu.edu.cn
