| Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach L Lin, Z He, S Peeta Transportation Research Part C: Emerging Technologies 97, 258-276, 2018 | 123 | 2018 |
| A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction L Lin, Q Wang, AW Sadek Transportation Research Part C: Emerging Technologies 55, 444-459, 2015 | 91 | 2015 |
| A combined M5P tree and hazard-based duration model for predicting urban freeway traffic accident durations L Lin, Q Wang, AW Sadek Accident Analysis & Prevention 91, 114-126, 2016 | 53 | 2016 |
| Modeling the impacts of inclement weather on freeway traffic speed: exploratory study with social media data L Lin, M Ni, Q He, J Gao, AW Sadek Transportation research record 2482 (1), 82-89, 2015 | 52 | 2015 |
| A k nearest neighbor based local linear wavelet neural network model for on-line short-term traffic volume prediction L Lin, Y Li, A Sadek Procedia-Social and Behavioral Sciences 96, 2066-2077, 2013 | 52 | 2013 |
| Border crossing delay prediction using transient multi-server queueing models L Lin, Q Wang, AW Sadek Transportation Research Part A: Policy and Practice 64, 65-91, 2014 | 43 | 2014 |
| On-line prediction of border crossing traffic using an enhanced Spinning Network method L Lin, Q Wang, S Huang, AW Sadek Transportation Research Part C: Emerging Technologies 43, 158-173, 2013 | 42 | 2013 |
| Data Mining and Complex Networks Algorithms for Traffic Accident Analysis L Lin, Q Wang, AW Sadek Transportation Research Record: Journal of the Transportation Research Board …, 2014 | 40 | 2014 |
| Deep learning-based human-driven vehicle trajectory prediction and its application for platoon control of connected and autonomous vehicles L Lin, S Gong, T Li, S Peeta The Automated Vehicles Symposium 2018, 2018 | 37 | 2018 |
| Youtube av 50k: an annotated corpus for comments in autonomous vehicles T Li, L Lin, M Choi, K Fu, S Gong, J Wang 2018 International Joint Symposium on Artificial Intelligence and Natural …, 2018 | 31 | 2018 |
| Short-term forecasting of traffic volume: evaluating models based on multiple data sets and data diagnosis measures L Lin, Q Wang, A Sadek Transportation Research Record: Journal of the Transportation Research Board …, 2013 | 31 | 2013 |
| Anonymousnet: Natural face de-identification with measurable privacy T Li, L Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
| Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development L Lin, JC Handley, Y Gu, L Zhu, X Wen, AW Sadek Transportation Research Part C: Emerging Technologies 92, 323-348, 2018 | 27 | 2018 |
| Music sequence prediction with mixture hidden markov models T Li, M Choi, K Fu, L Lin 2019 IEEE International Conference on Big Data (Big Data), 6128-6132, 2019 | 23 | 2019 |
| Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data L Zhu, J Gonder, L Lin Journal of Advanced Transportation, 2017 | 23 | 2017 |
| Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach S Ren, TM Choi, KM Lee, L Lin Transportation Research Part E: Logistics and Transportation Review 134, 101834, 2020 | 17 | 2020 |
| Multiple-Model Combined Forecasting Method for Online Prediction of Border Crossing Traffic at Peace Bridge L Lin, Q Wang, AW Sadek Transportation Research Board 91st Annual Meeting, 2012 | 13 | 2012 |
| Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border Z Zhang, L Lin, L Zhu, A Sharma Transportation Research Board 97th Annual Meeting, 2017 | 12 | 2017 |
| A novel dynamic pricing scheme for a large-scale electric vehicle sharing network considering vehicle relocation and vehicle-grid-integration S Ren, F Luo, L Lin, SC Hsu, XI Li International Journal of Production Economics, 2019 | 9 | 2019 |
| An android smartphone application for collecting, sharing, and predicting border crossing wait time L Lin, Q Wang, AW Sadek, G Kott, A PARC Transportation Research Board 94th Annual Meeting, 2015 | 8 | 2015 |
Adel SadekProfessor of Civil Engineering, University at Buffalo - SUNYVerified email at buffalo.edu
