| Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections F Huang, P Liu, H Yu, W Wang Accident Analysis & Prevention 50, 1014-1024, 2013 | 307 | 2013 |
| Comparative analysis of the spatial analysis methods for hotspot identification H Yu, P Liu, J Chen, H Wang Accident Analysis & Prevention 66, 80-88, 2014 | 158 | 2014 |
| Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas R Fan, H Yu, P Liu, W Wang IET Intelligent Transport Systems 7 (1), 68-77, 2013 | 156 | 2013 |
| Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Z Li, H Yu, G Zhang, S Dong, CZ Xu Transportation Research Part C: Emerging Technologies 125, 103059, 2021 | 110 | 2021 |
| Incorporating twitter-based human activity information in spatial analysis of crashes in urban areas J Bao, P Liu, H Yu, C Xu Accident analysis & prevention 106, 358-369, 2017 | 81 | 2017 |
| Comparative analysis of risky behaviors of electric bicycles at signalized intersections L Bai, P Liu, Y Guo, H Yu Traffic injury prevention 16 (4), 424-428, 2015 | 80 | 2015 |
| Temporal-spatial dimension extension-based intersection control formulation for connected and autonomous vehicle systems Z Li, Q Wu, H Yu, C Chen, G Zhang, ZZ Tian, PD Prevedouros Transportation Research Part C: Emerging Technologies 104, 234-248, 2019 | 78 | 2019 |
| A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence H Yu, Z Li, G Zhang, P Liu Analytic methods in accident research 24, 100110, 2019 | 71 | 2019 |
| Development of a VISSIM simulation model for U-turns at unsignalized intersections P Liu, X Qu, H Yu, W Wang, B Cao Journal of Transportation Engineering 138 (11), 1333-1339, 2012 | 63 | 2012 |
| Optimal traffic signal control under dynamic user equilibrium and link constraints in a general network H Yu, R Ma, HM Zhang Transportation research part B: methodological 110, 302-325, 2018 | 59 | 2018 |
| Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes H Yu, R Yuan, Z Li, G Zhang, DT Ma Accident Analysis & Prevention 144, 105587, 2020 | 40 | 2020 |
| Exploring the impacts of travel-implied policy factors on COVID-19 spread within communities based on multi-source data interpretations Y Guo, H Yu, G Zhang, DT Ma Health & place 69, 102538, 2021 | 37 | 2021 |
| Taxi-based mobility demand formulation and prediction using conditional generative adversarial network-driven learning approaches H Yu, X Chen, Z Li, G Zhang, P Liu, J Yang, Y Yang IEEE Transactions on Intelligent Transportation Systems 20 (10), 3888-3899, 2019 | 37 | 2019 |
| Assessing potential likelihood and impacts of landslides on transportation network vulnerability Q Zhang, H Yu, Z Li, G Zhang, DT Ma Transportation research part D: transport and environment 82, 102304, 2020 | 34 | 2020 |
| Modeling the effects of low-carbon emission constraints on mode and route choices in transportation networks X Zhang, P Liu, Z Li, H Yu Procedia-Social and Behavioral Sciences 96, 329-338, 2013 | 34 | 2013 |
| Extracting and predicting taxi hotspots in spatiotemporal dimensions using conditional generative adversarial neural networks H Yu, Z Li, G Zhang, P Liu, J Wang IEEE Transactions on Vehicular Technology 69 (4), 3680-3692, 2020 | 33 | 2020 |
| Evaluating the effects of signal countdown timers on queue discharge characteristics at signalized intersections in China P Liu, H Yu, W Wang, J Ma, S Wang Transportation research record 2286 (1), 39-48, 2012 | 33 | 2012 |
| Can left-turn waiting areas improve the capacity of left-turn lanes at signalized intersections? Z Yang, P Liu, Y Chen, H Yu Procedia-Social and Behavioral Sciences 43, 192-200, 2012 | 31 | 2012 |
| Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes H Yu, Z Li, G Zhang, P Liu, T Ma Analytic methods in accident research 30, 100157, 2021 | 28 | 2021 |
| Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework J Bao, H Yu, J Wu IET Intelligent Transport Systems 13 (9), 1340-1347, 2019 | 26 | 2019 |
Pan LiuProfessor of Transportation Engineering, Southeast University在 seu.edu.cn 的电子邮件经过验证
