Stochastic Lagrangian modeling of traffic dynamics SE Jabari, F Zheng, H Liu, M Filipovska Proc. 97th Annu. Meeting Transp. Res. Board, 1-14, 2018 | 27 | 2018 |
Traffic flow breakdown prediction using machine learning approaches M Filipovska, HS Mahmassani Transportation research record 2674 (10), 560-570, 2020 | 16 | 2020 |
Estimation of Path Travel Time Distributions in Stochastic Time-Varying Networks with Correlations M Filipovska, HS Mahmmasani, A Mittal Transportation Research Record: Journal of the Transportation Research Board, 2021 | 13 | 2021 |
Prediction and mitigation of flow breakdown occurrence for weather affected networks: Case study of Chicago, Illinois M Filipovska, HS Mahmassani, A Mittal Transportation research record 2673 (11), 628-639, 2019 | 12 | 2019 |
Reliable least-time path estimation and computation in stochastic time-varying networks with spatio-temporal dependencies M Filipovska, HS Mahmmasani 99th Annual Meeting of the Transportation Research Board, 2020 | 11 | 2020 |
Anticipatory Fleet Repositioning for Shared-use Autonomous Mobility Services: An Optimization and Learning-Based Approach M Filipovska, M Hyland, H Bala https://arxiv.org/abs/2210.08659, 2022 | 3 | 2022 |
Reliable trajectory-adaptive routing strategies in stochastic, time-varying networks with generalized correlations M Filipovska, HS Mahmassani Transportation Research Part C: Emerging Technologies 133, 103436, 2021 | 3 | 2021 |
Computation and Estimation of Path Travel Time Variability with Sparse Vehicle Trajectory Data M Filipovska, HS Mahmmasani 2021 International Symposium on Transportation Data and Modelling, 2021 | 3 | 2021 |
A Priori and Adaptive Reliable Routing in Stochastic Dynamic Networks with Correlations M Filipovska, HS Mahmmasani 2021 International Symposium on Transportation Data and Modelling, 2021 | 2 | 2021 |
Using Logistic Regression to Evaluate Pedestrian–Vehicle Interaction Severity at Side Street Green and Exclusive Phase Signals O Green, J Ivan, M Filipovska, M Auguste, K Wang Transportation Research Record: Journal of the Transportation Research Board, 2023 | 1 | 2023 |
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach B Lei, S Huang, C Ding, M Filipovska https://arxiv.org/abs/2211.03033, 2022 | 1 | 2022 |
Travel Time Reliability in Stochastic Dynamic Transportation Networks: Modeling, Path Finding and Routing M Filipovska Northwestern University, 2021 | 1 | 2021 |
Spatio-Temporal Characterization of Stochastic Dynamic Transportation Networks M Filipovska, HS Mahmmasani IEEE Transactions on Intelligent Transportation Systems (Early Access), 1-11, 2023 | | 2023 |
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach S Islam, M Filipovska https://arxiv.org/abs/2310.12353, 2023 | | 2023 |
Anticipatory Fleet Operation for Shared-use Autonomous Mobility Services with Learning-based Vehicle Repositioning M Filipovska, M Hyland 102nd Annual Meeting of the Transportation Research Board, 2023 | | 2023 |
A Modified Social Force Model (SFM) for Pedestrian Behavior in the Presence of Autonomous Vehicles (AVs) S Rezwana, E Jackson, M Filipovska, N Lownes International Conference on Transportation and Development 2022, Seattle …, 2022 | | 2022 |
Approximate A Priori Path Finding for Multiple Reliability Objectives In Stochastic Dynamic Networks with Correlations M Filipovska, HS Mahmmasani 101st Annual Meeting of the Transportation Research Board, 2022 | | 2022 |
Information-Adaptive Reliable Routing in Dynamic Connected Environments M Filipovska, HS Mahmmasani 2021 IEEE 24th International Conference on Intelligent Transportation …, 2021 | | 2021 |
Reliable least-time path estimation and computation in stochastic time-varying networks with spatio-temporal dependencies M Filipovska, HS Mahmmasani 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | | 2020 |