| Influence of pavement condition on horizontal curve safety P Buddhavarapu, A Banerjee, JA Prozzi Accident Analysis & Prevention 52, 9-18, 2013 | 114 | 2013 |
| Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data P Buddhavarapu, JG Scott, JA Prozzi Transportation Research Part B: Methodological 91, 492-510, 2016 | 68 | 2016 |
| Private matching for compute P Buddhavarapu, A Knox, P Mohassel, S Sengupta, E Taubeneck, ... Cryptology ePrint Archive, 2020 | 44 | 2020 |
| A new spatial count data model with Bayesian additive regression trees for accident hot spot identification R Krueger, P Bansal, P Buddhavarapu Accident Analysis & Prevention 144, 105623, 2020 | 24 | 2020 |
| A fully Bayesian before–after analysis of permeable friction course (PFC) pavement wet weather safety P Buddhavarapu, AF Smit, JA Prozzi Accident Analysis & Prevention 80, 89-96, 2015 | 23 | 2015 |
| Milled pavement texturing to optimize skid improvements L Gao, A de Fortier Smit, JA Prozzi, P Buddhavarapu, M Murphy, L Song Construction and Building Materials 101, 602-610, 2015 | 13 | 2015 |
| The contribution of micro-and macro-texture to the skid resistance of flexible pavement. PA Serigos, P Buddhavarapu, GM Gorman, F Hong, JA Prozzi University of Texas at Austin. Center for Transportation Research, 2016 | 12 | 2016 |
| Framework for determining load equivalencies with DARWin-ME A Banerjee, JA Prozzi, P Buddhavarapu Transportation research record 2368 (1), 24-35, 2013 | 12 | 2013 |
| Selection and design of quiet pavement surfaces A Smit, M Trevino, NZ Garcia, P Buddhavarapu, J Prozzi | 10 | 2016 |
| Revised pay adjustment factors for HMA and concrete pavements P Buddhavarapu, AF Smit, JA Prozzi, W Fan, Z Gurmu | 10 | 2014 |
| Evaluation of the benefits of diamond grinding of a continuously reinforced concrete pavement P Buddhavarapu, A de Fortier Smit, A Banerjee, M Trevino, JA Prozzi Transportation research record 2369 (1), 59-67, 2013 | 8 | 2013 |
| A new spatial count data model with time-varying parameters P Buddhavarapu, P Bansal, JA Prozzi Transportation Research Part B: Methodological 150, 566-586, 2021 | 5 | 2021 |
| Infrastructure-friendly vehicles to support Texas economic competitiveness. JA Prozzi, P Buddhavarapu, S Kouchaki, J Weissmann, AJ Weissmann, ... University of Texas at Austin. Center for Transportation Research, 2017 | 4 | 2017 |
| Pay factors based on observed field-performance data P Buddhavarapu, JA Prozzi, AF Smit Journal of Transportation Engineering 142 (5), 04016016, 2016 | 4 | 2016 |
| On Bayesian estimation of spatial and dynamic count models using data augmentation techniques: application to road safety management PNVSR Buddhavarapu | 4 | 2015 |
| Predicting animal-vehicle collisions for mitigation in Texas M Burton, J Prozzi, P Buddhavarapu Proceedings of the International Safer Roads Conference, Cheltenham, UK, 2014 | 4 | 2014 |
| Influence of pavement condition on crash-injury severity P Buddhavarapu, A Smit, JA Prozzi, JP Aguiar-Moya Transportation Research Board 91st Annual MeetingTransportation Research Board, 2012 | 4 | 2012 |
| Multi-key private matching for compute P Buddhavarapu, BM Case, L Gore, A Knox, P Mohassel, S Sengupta, ... Cryptology ePrint Archive, 2021 | 3 | 2021 |
| Evaluation of the Benefits of Diamond Grinding of CRCP P Buddhavarapu, AF Smit, JA Prozzi, M Trevino | 3 | 2014 |
| Delegated Private Matching for Compute D Mouris, D Masny, N Trieu, S Sengupta, P Buddhavarapu, B Case Proceedings on Privacy Enhancing Technologies, 2024 | 2 | 2024 |
