| On the road safety benefits of advanced driver assistance systems in different driving contexts L Masello, G Castignani, B Sheehan, F Murphy, K McDonnell Transportation research interdisciplinary perspectives 15, 100670, 2022 | 52 | 2022 |
| Deep learning in insurance: Accuracy and model interpretability using TabNet K McDonnell, F Murphy, B Sheehan, L Masello, G Castignani Expert Systems with Applications 217, 119543, 2023 | 23 | 2023 |
| From traditional to autonomous vehicles: a systematic review of data availability L Masello, B Sheehan, F Murphy, G Castignani, K McDonnell, C Ryan Transportation research record 2676 (4), 161-193, 2022 | 17 | 2022 |
| Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence L Masello, G Castignani, B Sheehan, M Guillen, F Murphy Accident Analysis & Prevention 184, 106997, 2023 | 14 | 2023 |
| On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers L Masello, B Sheehan, G Castignani, D Shannon, F Murphy Accident Analysis & Prevention 183, 106969, 2023 | 12 | 2023 |
| Regulatory and technical constraints: An overview of the technical possibilities and regulatory limitations of vehicle telematic data K McDonnell, F Murphy, B Sheehan, L Masello, G Castignani, C Ryan Sensors 21 (10), 3517, 2021 | 11 | 2021 |
| Risk assessment and data-driven insurance pricing models for connected and automated vehicles L Masello University of Limerick, 2023 | | 2023 |
| Vehicular motion assessment method G Castignani, L Masello EP Patent EP3774478A1, 2021 | | 2021 |
German CastignaniLuxembourg Institute for Science and Technology在 castignani.com.ar 的电子邮件经过验证
