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Zhenning Li
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Cited by
Year
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
1762016
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
1362021
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
1002019
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
962019
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
962018
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
862022
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
852019
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
772019
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
732022
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
732018
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
702016
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
632019
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
502024
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
462020
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
462020
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
432019
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
402020
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
342024
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
312021
An intelligent train operation method based on event-driven deep reinforcement learning
L Zhang, M Zhou, Z Li
IEEE Transactions on Industrial Informatics 18 (10), 6973-6980, 2021
292021
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Articles 1–20