| Inferring transportation modes from GPS trajectories using a convolutional neural network S Dabiri, K Heaslip Transportation research part C: emerging technologies 86, 360-371, 2018 | 481 | 2018 |
| Evaluation of resiliency of transportation networks after disasters D Freckleton, K Heaslip, W Louisell, J Collura Transportation research record 2284 (1), 109-116, 2012 | 197* | 2012 |
| Intelligent transportation system security: impact-oriented risk assessment of in-vehicle networks KB Kelarestaghi, M Foruhandeh, K Heaslip, R Gerdes IEEE Intelligent Transportation Systems Magazine 13 (2), 91-104, 2019 | 157* | 2019 |
| Semi-supervised deep learning approach for transportation mode identification using GPS trajectory data S Dabiri, CT Lu, K Heaslip, CK Reddy IEEE Transactions on Knowledge and Data Engineering 32 (5), 1010-1023, 2019 | 145 | 2019 |
| Developing a Twitter-based traffic event detection model using deep learning architectures S Dabiri, K Heaslip Expert systems with applications 118, 425-439, 2019 | 144 | 2019 |
| Analysis of the electric vehicles adoption over the United States A Soltani-Sobh, K Heaslip, A Stevanovic, R Bosworth, D Radivojevic Transportation research procedia 22, 203-212, 2017 | 118 | 2017 |
| Resiliency of transportation network of Santo Domingo, Dominican Republic: case study NU Serulle, K Heaslip, B Brady, WC Louisell, J Collura Transportation research record 2234 (1), 22-30, 2011 | 101 | 2011 |
| CPS: an efficiency-motivated attack against autonomous vehicular transportation RM Gerdes, C Winstead, K Heaslip Proceedings of the 29th Annual Computer Security Applications Conference, 99-108, 2013 | 92 | 2013 |
| Estimation of freeway work zone capacity through simulation and field data K Heaslip, A Kondyli, D Arguea, L Elefteriadou, F Sullivan Transportation research record 2130 (1), 16-24, 2009 | 89 | 2009 |
| Evaluation of transportation network reliability during unexpected events with multiple uncertainties A Soltani-Sobh, K Heaslip, A Stevanovic, J El Khoury, Z Song International journal of disaster risk reduction 17, 128-136, 2016 | 69 | 2016 |
| Modeling transportation network redundancy X Xu, A Chen, S Jansuwan, K Heaslip, C Yang Transportation research procedia 9, 283-302, 2015 | 64 | 2015 |
| Intelligent transportation system security: hacked message signs KB Kelarestaghi, K Heaslip, M Khalilikhah, A Fuentes, V Fessmann SAE International Journal of Transportation Cybersecurity and Privacy 1 (11 …, 2018 | 62 | 2018 |
| Estimation of road network reliability on resiliency A Soltani-Sobh, K Heaslip, J El Khoury | 62* | 2015 |
| A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data S Dabiri, N Marković, K Heaslip, CK Reddy Transportation Research Part C: Emerging Technologies 116, 102644, 2020 | 60 | 2020 |
| Cycling usage and frequency determinants in college campuses KB Kelarestaghi, A Ermagun, KP Heaslip Cities 90, 216-228, 2019 | 56 | 2019 |
| Minimizing the disruption of traffic flow of automated vehicles during lane changes D Desiraju, T Chantem, K Heaslip IEEE Transactions on Intelligent Transportation Systems 16 (3), 1249-1258, 2014 | 56 | 2014 |
| A sketch level method for assessing transportation network resiliency to natural disasters and man-made events K Heaslip, W Louisell, J Collura, N Urena Serulle Transportation Research Board 89th Annual MeetingTransportation Research Board, 2010 | 53 | 2010 |
| A methodology to evaluate transportation resiliency for regional networks K Heaslip, W Louisell, J Collura Transportation Research Board 88th Annual MeetingTransportation Research Board, 2009 | 53 | 2009 |
| Reliability based pre-positioning of recovery centers for resilient transportation infrastructure A Soltani-Sobh, K Heaslip, P Scarlatos, E Kaisar International Journal of Disaster Risk Reduction 19, 324-333, 2016 | 49 | 2016 |
| Acceptability of increasing petrol price as a TDM pricing policy: A case study in Tehran M Khalilikhah, M Habibian, K Heaslip Transport Policy 45, 136-144, 2016 | 40 | 2016 |
Ali soltani-sobhEmail verificata su aggiemail.usu.edu
