| Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers Z Li, Y Ci, G Zhang Accident Analysis & Prevention 86, 29-39, 2016 | 175 | 2016 |
| 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, 2021 | 133 | 2021 |
| Investigation of driver injury severities in rural single-vehicle crashes under rain conditions using mixed logit and latent class models Z Li, Y Ci, C Chen, G Zhang, Q Wu, ZS Qian, PD Prevedouros, DT Ma Accident Analysis & Prevention 124, 219-229, 2019 | 99 | 2019 |
| Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes Z Li, Q Wu, Y Ci, C Chen, X Chen, G Zhang Accident Analysis & Prevention 129, 230-240, 2019 | 96 | 2019 |
| Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models Z Li, C Chen, Y Ci, G Zhang, Q Wu, C Liu, ZS Qian Accident Analysis & Prevention 120, 139-151, 2018 | 95 | 2018 |
| An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data X Li, H Jiang, Y Liu, T Wang, Z Li Knowledge-based systems 235, 107652, 2022 | 89 | 2022 |
| 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 | 86 | 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 | 77 | 2019 |
| Lane change strategies for autonomous vehicles: A deep reinforcement learning approach based on transformer G Li, Y Qiu, Y Yang, Z Li, S Li, W Chu, P Green, SE Li IEEE Transactions on Intelligent Vehicles 8 (3), 2197-2211, 2022 | 74 | 2022 |
| Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model Z Li, C Chen, Q Wu, G Zhang, C Liu, PD Prevedouros, DT Ma Analytic Methods in Accident Research 20, 1-14, 2018 | 73 | 2018 |
| Analysis of bus passenger comfort perception based on passenger load factor and in-vehicle time X Shen, S Feng, Z Li, B Hu SpringerPlus 5, 1-10, 2016 | 68 | 2016 |
| A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis Z Li, X Chen, Y Ci, C Chen, G Zhang Analytic methods in accident research 21, 44-61, 2019 | 62 | 2019 |
| GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models H Liao, H Shen, Z Li, C Wang, G Li, Y Bie, C Xu Communications in Transportation Research 4, 100116, 2024 | 52 | 2024 |
| 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 | 45 | 2020 |
| 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 | 45 | 2020 |
| 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 | 42 | 2019 |
| 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 | 39 | 2020 |
| BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving H Liao, Z Li, H Shen, W Zeng, G Li, SE Li, C Xu Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 10332 …, 2024 | 37 | 2024 |
| 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 | 30 | 2021 |
| Sparse online kernelized actor-critic learning in reproducing kernel Hilbert space Y Yang, H Zhu, Q Zhang, B Zhao, Z Li, DC Wunsch Artificial Intelligence Review 55 (1), 23-58, 2022 | 28 | 2022 |
Guohui ZhangProfessor of Civil Engineering, University of HawaiiВерификована је имејл адреса на Hawaii.edu