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2020 – today
- 2024
[j5]Tanwi Mallick
, Jane MacFarlane, Prasanna Balaprakash:
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25(8): 9141-9152 (2024)- 2023
- [j4]Cy P. Chan, Anu Kuncheria, Jane MacFarlane:
Simulating the Impact of Dynamic Rerouting on Metropolitan-scale Traffic Systems. ACM Trans. Model. Comput. Simul. 33(1-2): 7:1-7:29 (2023) - [c10]Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash:
Graph Pyramid Autoformer for Long- Term Traffic Forecasting. ICMLA 2023: 384-391 - [i12]Dimitrios M. Vlachogiannis, Hua Wei, Scott Moura, Jane MacFarlane:
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control. CoRR abs/2304.03697 (2023) - [i11]Weiheng Zhong, Hadi Meidani, Jane MacFarlane:
Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction. CoRR abs/2305.00985 (2023) - [i10]Juliette Ugirumurera, Joseph Severino, Erik A. Bensen, Qichao Wang, Jane MacFarlane:
A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data. CoRR abs/2308.02370 (2023) - 2022
- [c9]Ammar Haydari, Chen-Nee Chuah, H. Michael Zhang, Jane MacFarlane, Sean Peisert:
Differentially Private Map Matching for Mobility Trajectories. ACSAC 2022: 293-303 - [i9]Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. CoRR abs/2204.01618 (2022) - [i8]Cy P. Chan, Anu Kuncheria, Jane MacFarlane:
Simulating the Impact of Dynamic Rerouting on Metropolitan-Scale Traffic Systems. CoRR abs/2207.12580 (2022) - [i7]Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash:
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. CoRR abs/2209.13123 (2022) - 2021
- [j3]Vishwanath Bulusu, Emin Burak Onat, Raja Sengupta, Pavan Yedavalli, Jane MacFarlane:
A Traffic Demand Analysis Method for Urban Air Mobility. IEEE Trans. Intell. Transp. Syst. 22(9): 6039-6047 (2021) - [i6]Cy P. Chan, Anu Kuncheria, Bingyu Zhao, Theophile Cabannes, Alexander Keimer, Bin Wang, Alexandre M. Bayen, Jane MacFarlane:
Quasi-Dynamic Traffic Assignment using High Performance Computing. CoRR abs/2104.12911 (2021) - [i5]Anu Kuncheria, Joan L. Walker, Jane MacFarlane:
Socially-Aware Evaluation Framework for Transportation. CoRR abs/2111.06059 (2021) - [i4]Ammar Haydari, H. Michael Zhang, Chen-Nee Chuah, Jane MacFarlane, Sean Peisert:
Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset. CoRR abs/2112.08487 (2021) - [i3]Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
A data-centric weak supervised learning for highway traffic incident detection. CoRR abs/2112.09792 (2021) - 2020
- [c8]Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. ICPR 2020: 10367-10374 - [i2]Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. CoRR abs/2004.08038 (2020)
2010 – 2019
- 2019
- [i1]Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting. CoRR abs/1909.11197 (2019) - 2018
- [c7]Cy P. Chan, Bin Wang, John Bachan, Jane MacFarlane:
Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing. ITSC 2018: 634-641 - 2017
- [c6]Jane MacFarlane, Bo Xu:
Temporal Sampling Constraints for GeoSpatial Path Reconstruction in a Transportation Network. IWCTS@SIGSPATIAL 2017: 1-6 - 2016
- [j2]Jane MacFarlane, Matei Stroila:
Addressing the uncertainties in autonomous driving. ACM SIGSPATIAL Special 8(2): 35-40 (2016) - [c5]Bo Xu, Tiffany Barkley, Andrew P. Lewis, Jane MacFarlane, Davide Pietrobon, Matei Stroila:
Real-time detection and classification of traffic jams from probe data. SIGSPATIAL/GIS 2016: 79:1-79:4 - 2014
- [c4]Bo Xu, Matei Stroila, Jane MacFarlane:
A before and after study for travel time of unconventional intersections using probe data. IWCTS@SIGSPATIAL 2014: 54-63 - 2012
- [c3]Ruisheng Wang, Frank P. Ferrie, Jane MacFarlane:
Automatic registration of mobile LiDAR and spherical panoramas. CVPR Workshops 2012: 33-40 - [c2]Ruisheng Wang, Jeff Bach, Jane MacFarlane, Frank P. Ferrie:
A new upsampling method for mobile LiDAR data. WACV 2012: 17-24
1990 – 1999
- 1996
- [j1]Sanjay E. Sarma, Steven Schofield, James Stori, Jane MacFarlane, Paul K. Wright:
Rapid product realization from detail design. Comput. Aided Des. 28(5): 383-392 (1996) - 1994
- [c1]Robert C. Armstrong, Jane MacFarlane:
The Use of Frameworks for Scientific Computation in a Parallel Distributed Environment. HPDC 1994: 15-25
Coauthor Index
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