Analyzing passenger train arrival delays with support vector regression N Marković, S Milinković, KS Tikhonov, P Schonfeld Transportation Research Part C: Emerging Technologies 56, 251-262, 2015 | 204 | 2015 |
Optimizing dial-a-ride services in Maryland: Benefits of computerized routing and scheduling N Marković, R Nair, P Schonfeld, E Miller-Hooks, M Mohebbi Transportation Research Part C: Emerging Technologies 55, 156–165, 2015 | 101 | 2015 |
Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study P Sekuła, N Marković, ZV Laan, KF Sadabadi Transportation Research Part C: Emerging Technologies 97, 147-158, 2018 | 68 | 2018 |
Inferencing hourly traffic volume using data-driven machine learning and graph theory Z Yi, XC Liu, N Marković, J Phillips Computers, Environment and Urban Systems 85, 101548, 2020 | 51 | 2020 |
Applications of Trajectory Data from the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study N Marković, P Sekuła, ZV Laan, G Andrienko, N Andrienko IEEE Transactions on Intelligent Transportation Systems, 1-12, 2018 | 49* | 2018 |
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 | 47 | 2020 |
Evasive flow capture: A multi-period stochastic facility location problem with independent demand N Marković, IO Ryzhov, P Schonfeld European Journal of Operational Research 257 (2), 687–703, 2017 | 31 | 2017 |
Evasive Flow Capture: Optimal Location of Weigh-in-Motion Systems, Tollbooths, and Security Checkpoints N Marković, IO Ryzhov, P Schonfeld Networks 65 (1), 22-42, 2015 | 30 | 2015 |
Statistical and machine learning approach for planning dial-a-ride systems N Marković, ME Kim, P Schonfeld Transportation Research Part A: Policy and Practice 89, 41-55, 2016 | 26 | 2016 |
Review of methods for estimating construction work zone capacity AH Mashhadi, M Farhadmanesh, A Rashidi, N Marković Transportation research record 2675 (9), 382-397, 2021 | 23 | 2021 |
Dispatching trucks for drayage operations N Marković, Ž Drobnjak, P Schonfeld Transportation Research Part E: Logistics and Transportation Review 70, 99-111, 2014 | 23 | 2014 |
Infrastructure enabled and electrified automation: Charging facility planning for cleaner smart mobility B Azin, XT Yang, N Marković, M Liu Transportation Research Part D: Transport and Environment 101, 103079, 2021 | 15 | 2021 |
Scaling GPS trajectories to match point traffic counts: A convex programming approach and Utah case study S Miller, Z Vander Laan, N Marković Transportation Research Part E: Logistics and Transportation Review 143, 102105, 2020 | 15 | 2020 |
General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach M Farhadmanesh, A Rashidi, N Marković IEEE Access 10, 48778-48791, 2022 | 14 | 2022 |
A vertical railroad alignment design with construction and operating costs M Kim, N Marković, E Kim Journal of Transportation Engineering, Part A: Systems 145 (10), 04019043, 2019 | 14 | 2019 |
Planning Dial-a-Ride Services: Statistical and Meta-Modeling Approach N Marković, S Milinković, P Schonfeld, Z Drobnjak Transportation Research Record: Journal of the Transportation Research Board …, 2013 | 12 | 2013 |
State-of-the-Art Methods in Estimating Freeway Work zones Capacity: A Literature Review AH Mashhadi, M Farhadmanesh, A Rashidi, N Marković Transportation Research Board 100th Annual MeetingTransportation Research Board, 2021 | 11 | 2021 |
A threshold policy for dispatching vehicles in demand-responsive transit systems N Marković, ME Kim, E Kim, S Milinković Promet-Traffic&Transportation 31 (4), 387-395, 2019 | 11 | 2019 |
Optimal Allocation of Truck Inspection Stations Based on k-shortest Paths N Besinović, N Marković, P Schonfeld Transportation Research Board 92nd Annual Meeting, 2013 | 9 | 2013 |
Scalable framework for enhancing raw GPS trajectory data: application to trip analytics for transportation planning Z Vander Laan, M Franz, N Marković Journal of big data analytics in transportation 3 (2), 119-139, 2021 | 8 | 2021 |