| Virtual reality headset training: Can it be used to improve young drivers’ latent hazard anticipation and mitigation skills R Agrawal, M Knodler, DL Fisher, S Samuel Transportation research record 2672 (33), 20-30, 2018 | 50 | 2018 |
| Effectiveness of visual warnings on young drivers hazard anticipation and hazard mitigation abilities F Hajiseyedjavadi, T Zhang, R Agrawal, M Knodler, D Fisher, S Samuel Accident Analysis & Prevention 116, 41-52, 2018 | 39 | 2018 |
| Advanced virtual reality based training to improve young drivers’ latent hazard anticipation ability R Agrawal, M Knodler, DL Fisher, S Samuel Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61 (1 …, 2017 | 31 | 2017 |
| Effective cues for accelerating young drivers’ time to transfer control following a period of conditional automation TJ Wright, R Agrawal, S Samuel, Y Wang, S Zilberstein, DL Fisher Accident Analysis & Prevention 116, 14-20, 2018 | 29 | 2018 |
| Effects of alert cue specificity on situation awareness in transfer of control in level 3 automation TJ Wright, R Agrawal, S Samuel, Y Wang, S Zilberstein, DL Fisher Transportation research record 2663 (1), 27-33, 2017 | 26 | 2017 |
| Using SHRP2 NDS data to examine infrastructure and other factors contributing to older driver crashes during left turns at signalized intersections T Zafian, A Ryan, R Agrawal, S Samuel, M Knodler Accident Analysis & Prevention 156, 106141, 2021 | 20 | 2021 |
| Wpo: Enhancing rlhf with weighted preference optimization W Zhou, R Agrawal, S Zhang, SR Indurthi, S Zhao, K Song, S Xu, C Zhu arXiv preprint arXiv:2406.11827, 2024 | 16 | 2024 |
| Effects of a change in environment on the minimum time to situation awareness in transfer of control scenarios R Agrawal, TJ Wright, S Samuel, S Zilberstein, DL Fisher Transportation research record 2663 (1), 126-133, 2017 | 15 | 2017 |
| Effects of sample size on goodness-of-fit statistic and confidence intervals of crash prediction models subjected to low sample mean values R Agrawal, D Lord Transportation research record 1950 (1), 35-43, 2006 | 14 | 2006 |
| An end-to-end introduction to generative adversarial networks (gans) R Agrawal URL https://www. analyticsvidhya. com/blog/2021/10/an-end-to-end …, 2023 | 5 | 2023 |
| Evaluation of a Training Intervention to Improve Novice Drivers’ Hazard Mitigation Behavior on Curves JW Muttart, R Agrawal, Y Ebadi, S Samuel, DL Fisher Driving Assessment Conference 9 (2017), 2017 | 5 | 2017 |
| On-road assessment of retention effects on hazard anticipation training for novice drivers TM Zafian, R Agrawal, S Samuel Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 5 | 2017 |
| Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy T Wu, S Zhang, K Song, S Xu, S Zhao, R Agrawal, SR Indurthi, C Xiang, ... arXiv preprint arXiv:2410.09102, 2024 | 3 | 2024 |
| Real time safety of fixed-wing uavs using collision cone control barrier functions A Agarwal, R Agrawal, M Tayal, P Jagtap, S Kolathaya arXiv preprint arXiv:2407.19335, 2024 | 2 | 2024 |
| CLAD-ST: Contrastive learning with adversarial data for robust speech translation SR Indurthi, S Chollampatt, R Agrawal, M Turchi Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
| Using the New SHRP2 Naturalistic Driving Study Safety Databases to Examine Safety Concerns for Older Drivers MA Knodler, S Samuel, S Gao, T Zafian, R Agrawal New England Transportation Consortium, 2019 | 2 | 2019 |
| Improving multilingual instruction finetuning via linguistically natural and diverse datasets SR Indurthi, W Zhou, S Chollampatt, R Agrawal, K Song, L Zhao, C Zhu arXiv preprint arXiv:2407.01853, 2024 | 1 | 2024 |
| Novice driver crashes: The relation between putative causal factors, countermeasures, real world implementations, and policy–A case study in simple, scalable solutions DL Fisher, R Agrawal, G Divekar, MA Hamid, A Krishnan, H Mehranian, ... Accident Analysis & Prevention 198, 107397, 2024 | 1 | 2024 |
| Contrastive learning with adversarial data for robust speech translation R Agrawal, SCM Ashraf, SR INDURTHI, M TURCHI US Patent App. 18/627,098, 2024 | | 2024 |
| Deep learning for multi-channel customer feedback identification TL Wang, MB Shri, A Shvid, KC Shin, A Bhatia, R Agrawal, Yawei | | 2023 |
Donald L FisherVolpe National Transportation Systems CenterVerifierad e-postadress på ecs.umass.edu
Michael KnodlerProfessorVerifierad e-postadress på umass.eduTimothy J. WrightDunlap and Associates, IncVerifierad e-postadress på CARDINAL.WJU.EDU
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerifierad e-postadress på cs.umass.edu