Bulusu, Vishwanath, Emin Burak Onat, Raja Sengupta, Pavan Yedavalli, and Jane Macfarlane. “A Traffic Demand Analysis Method for Urban Air Mobility.” IEEE Transactions on Intelligent Transportation Systems, 2021.
Chan, Cy, Anu Kuncheria, Bingyu Zhao, Theophile Cabannes, Alexander Keimer, Bin Wang, Alexandre Bayen, and Jane Macfarlane. “Quasi-Dynamic Traffic Assignment Using High Performance Computing.” ArXiv Preprint ArXiv:2104.12911, 2021.
Chan, Cy, Bin Wang, John Bachan, and Jane Macfarlane. “Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing.” In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 634–41, 2018. https://doi.org/10.1109/ITSC.2018.8569397.
Deodhar, Kanaad, Colin Laurence, and Jane Macfarlane. “Designing for Mode Shift Opportunity with Metropolitan Scale Simulation.” In Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, 1–6, 2019.
Jane Macfarlane, Ph.D. “Mobile Device Data Analytics for Next-Generation Traffic Management (Report),” 2021. https://doi.org/10.7922/G2SX6BGF.
Kuncheria, Anu, Joan L. Walker, and Jane Macfarlane. “Socially-Aware Evaluation Framework for Transportation.” ArXiv Preprint ArXiv:2111.06059, 2021.
Macfarlane, Jane. “The Transforming TransportationEcosystem—A Call to Action,” 2019.
Macfarlane, Jane. . “When Apps Rule the Road: The Proliferation of Navigation Apps Is Causing Traffic Chaos. It’s Time to Restore Order.” IEEE Spectrum 56, no. 10 (2019): 22–27.
Macfarlane, Jane, and Bo Xu. “Temporal Sampling Constraints for GeoSpatial Path Reconstruction in a Transportation Network.” In Proceedings of the 10th ACM SIGSPATIAL Workshop on Computational Transportation Science, 1–6, 2017.
Mallick, Tanwi, Prasanna Balaprakash, Eric Rask, and Jane Macfarlane. “Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting.” Transportation Research Record 2674, no. 9 (2020): 473–88.
Mallick, Tanwi, Prasanna Balaprakash, and Jane Macfarlane.. “Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting.” In 2020 25th International Conference on Pattern Recognition (ICPR), 10367–74, 2021. https://doi.org/10.1109/ICPR48806.2021.9413270.
Wang, Bin, Cy Chan, Divya Somasi, Jane Macfarlane, and Eric Rask. “Data-Driven Energy Use Estimation in Large Scale Transportation Networks.” In Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, 1–6, 2019.
Updated: Thursday December 30, 2021