| A multivariate spatial model of crash frequency by transportation modes for urban intersections H Huang, H Zhou, J Wang, F Chang, M Ma Analytic methods in accident research 14, 10-21, 2017 | 159 | 2017 |
| Injury severity of motorcycle riders involved in traffic crashes in Hunan, China: a mixed ordered logit approach F Chang, M Li, P Xu, H Zhou, MM Haque, H Huang International journal of environmental research and public health 13 (7), 714, 2016 | 127 | 2016 |
| Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model F Chang, P Xu, H Zhou, AHS Chan, H Huang Accident Analysis & Prevention 131, 316-326, 2019 | 120 | 2019 |
| Global road traffic injury statistics: Challenges, mechanisms and solutions FR Chang, HL Huang, DC Schwebel, AHS Chan, GQ Hu Chinese journal of traumatology 23 (4), 216-218, 2020 | 103 | 2020 |
| Critical factors influencing acceptance of automated vehicles by Hong Kong drivers SS Man, W Xiong, F Chang, AHS Chan IEEE Access 8, 109845-109856, 2020 | 72 | 2020 |
| Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity F Chang, S Yasmin, H Huang, AHS Chan, MM Haque Analytic methods in accident research 32, 100188, 2021 | 54 | 2021 |
| Modeling unobserved heterogeneity for zonal crash frequencies: A Bayesian multivariate random-parameters model with mixture components for spatially correlated data H Huang, F Chang, H Zhou, J Lee Analytic methods in accident research 24, 100105, 2019 | 50 | 2019 |
| Crash injury severity analysis of E-Bike Riders: A random parameters generalized ordered probit model with heterogeneity in means F Chang, MM Haque, S Yasmin, H Huang Safety science 146, 105545, 2022 | 48 | 2022 |
| Identifying motorcycle high-risk traffic scenarios through interactive analysis of driver behavior and traffic characteristics F Chang, P Xu, H Zhou, J Lee, H Huang Transportation research part F: traffic psychology and behaviour 62, 844-854, 2019 | 47 | 2019 |
| Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at … G Zhang, F Chang, J Jin, F Yang, H Huang Accident Analysis & Prevention 199, 107451, 2024 | 22 | 2024 |
| Improve traffic death statistics in China H Huang, F Chang, DC Schwebel, P Ning, P Cheng, G Hu Science 362 (6415), 650-650, 2018 | 19 | 2018 |
| The road safety and risky behavior analysis of delivery vehicle drivers in China Y He, C Sun, F Chang Accident Analysis & Prevention 184, 107013, 2023 | 16 | 2023 |
| How would autonomous vehicles behave in real-world crash scenarios? R Zhou, G Zhang, H Huang, Z Wei, H Zhou, J Jin, F Chang, J Chen Accident Analysis & Prevention 202, 107572, 2024 | 12 | 2024 |
| Capturing long-memory properties in road fatality rate series by an autoregressive fractionally integrated moving average model with generalized autoregressive conditional … F Chang, H Huang, AHS Chan, SS Man, Y Gong, H Zhou Journal of safety research 81, 216-224, 2022 | 12 | 2022 |
| Modeling endogeneity between motorcyclist injury severity and at-fault status by applying a Bayesian simultaneous random-parameters model with a recursive structure F Chang, S Yasmin, H Huang, AHS Chan, MM Haque Analytic methods in accident research 36, 100245, 2022 | 11 | 2022 |
| Incorporating spatial effects into temporal dynamic of road traffic fatality risks: A case study on 48 lower states of the United States, 1975–2015 H Zhou, H Huang, P Xu, F Chang, M Abdel-Aty Accident Analysis & Prevention 132, 105283, 2019 | 11 | 2019 |
| Affective risk perception index as a screening tool for construction workers SS Man, F Chang, AHS Chan Safety science 175, 106527, 2024 | 6 | 2024 |
| Dual-objective reinforcement learning-based adaptive traffic signal control for decarbonization and efficiency optimization G Zhang, F Chang, H Huang, Z Zhou Mathematics 12 (13), 2056, 2024 | 6 | 2024 |
| Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework G Zhang, F Chang, J Liu Sustainable Cities and Society 114, 105776, 2024 | 3 | 2024 |
| Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning G Zhang, J Jin, F Chang, H Huang International Journal of Transportation Science and Technology, 2024 | 3 | 2024 |
Helai HuangProfessor, Central South UniversityE-mail megerősítve itt: csu.edu.cn
