| CrackSeg9k: a collection and benchmark for crack segmentation datasets and frameworks S Kulkarni, S Singh, D Balakrishnan, S Sharma, S Devunuri, ... European Conference on Computer Vision, 179-195, 2022 | 23 | 2022 |
| An unsupervised learning framework for detecting adaptive cruise control operated vehicles in a vehicle trajectory data MK Hosseini, A Talebpour, S Devunuri, SH Hamdar Expert Systems with Applications 208, 118060, 2022 | 6 | 2022 |
| Scale effects in ridesplitting: A case study of the City of Chicago H Liu, S Devunuri, L Lehe, VV Gayah Transportation Research Part A: Policy and Practice 173, 103690, 2023 | 5 | 2023 |
| Taxation of Ride-hailing L Lehe, S Devunuri, J Rondan, A Pandey FHWA-ICT-21-029, 2021 | 5 | 2021 |
| GTFS Segments: A fast and efficient library to generate bus stop spacings S Devunuri, L Lehe Journal of Open Source Software 9 (95), 6306, 2024 | 4 | 2024 |
| Bus stop spacing statistics: Theory and evidence S Devunuri, LJ Lehe, S Qiam, A Pandey, D Monzer Journal of Public Transportation 26, 100083, 2024 | 3 | 2024 |
| Large elasticity at introduction LJ Lehe, S Devunuri Research in Transportation Economics 95, 101116, 2022 | 2 | 2022 |
| ChatGPT for GTFS: benchmarking LLMs on GTFS semantics... and retrieval S Devunuri, S Qiam, LJ Lehe Public Transport, 1-25, 2024 | 1* | 2024 |
| Impact of competition on the scale effects in ridesplitting: A case study of Manhattan H Liu, S Devunuri, X Dong, L Lehe, VV Gayah 103rd Annual Meeting of the transportation Research baord, 2024 | | 2024 |
| Examining Cost Aspects of Shared Autonomous Vehicles (SAV) Operated as Mobility as a Service (MaaS) S Devunuri Texas A&M University, 2020 | | 2020 |
| Response of Autonomous Vehicles to Emergency Response Vehicles (RAVEV) A Nayak, S Rathinam, S Gopalswamy SAFE-D: Safety Through Disruption National University Transportation Center, 2020 | | 2020 |
Lewis LeheUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
