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Zachary Vander Laan
Zachary Vander Laan
Center for Advanced Transportation Technology, University of Maryland
Verified email at umd.edu
Title
Cited by
Cited by
Year
Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study
P Sekuła, N Marković, Z Vander Laan, KF Sadabadi
Transportation Research Part C: Emerging Technologies 97, 147-158, 2018
622018
Operational performance of a congested corridor with lanes dedicated to autonomous vehicle traffic
Z Vander Laan, KF Sadabadi
International Journal of Transportation Science and Technology 6 (1), 42-52, 2017
582017
Applications of trajectory data from the perspective of a road transportation agency: Literature review and maryland case study
N Marković, P Sekuła, Z Vander Laan, G Andrienko, N Andrienko
IEEE Transactions on Intelligent Transportation Systems 20 (5), 1858-1869, 2018
45*2018
Estimating hourly traffic volumes using artificial neural network with additional inputs from automatic traffic recorders
S Zahedian, P Sekuła, A Nohekhan, Z Vander Laan
Transportation Research Record 2674 (3), 272-282, 2020
222020
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
132020
Modeling heterogeneous traffic with cooperative adaptive cruise control vehicles: A first-order macroscopic perspective
Z Vander Laan, P Schonfeld
Transportation planning and technology 43 (2), 113-140, 2020
82020
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
72021
Evaluating Commercial Probe Data Quality on Arterial Facilities: Insights From Multi-Year Cross-Vendor Validation
Z Vander Laan, E Sharifi
Transportation Research Record 2675 (11), 193-203, 2021
32021
Predicting work zone collision probabilities via clustering: application in optimal deployment of highway response teams
P Sekuła, Z Vander Laan, K Farokhi Sadabadi, MJ Skibniewski
Journal of Advanced Transportation 2018, 2018
32018
Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study
P Sekuła, ZV Laan, KF Sadabadi, K Kania, S Zahedian
Journal of Advanced Transportation 2021, 1-15, 2021
12021
Visual exploration of Utah trajectory data and their applications in transportation
N Markovic, S Miller, ZV Laan, Y Wang
National Institute for Transportation and Communities (NITC), 2020
12020
Visual exploration of Utah trajectory data and their applications in transportation
S Miller, Z Vander Laan, Y Wang, N Markovic
12020
Video Analytics Usage in Transportation Agencies: Nationwide Survey and Maryland Feasibility Study
ZV Laan, KF Sadabadi, T Jacobs
Transportation Research Record 2672 (19), 34-44, 2018
12018
Application of Vehicle Probe Data in Estimating Traffic Volumes: a Maryland Case Study
P Sekula, N Marković, Z Vander Laan, K Farokhi Sadabadi
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
12018
I-95 Corridor Coalition Vehicle Probe Project: Update on Validation of Arterial Probe Data
Z Vander Laan, E Sharifi
I-95 Corridor Coalition Vehicle Probe Project, 2019
2019
Acquiring Quality Traffic Volume Data Anytime & Anywhere: A Big Data Success Story in the Making
S Young, S Mahapatra, Z Vander Laan, C Willoughby
2018 ITS America Annual Meeting Detroit, 2018
2018
Modeling heterogeneous traffic with cooperative adaptive cruise control vehicles: A macroscopic equilibrium approach
Z Vander Laan
University of Maryland, College Park, 2017
2017
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