Filipovska, Monika

Monika Filipovska

Assistant Professor, Civil and Environmental Engineering

Email monika.filipovska@uconn.edu
Phone (860) 486-2990
Mailing Address Civil and Environmental Engineering 261 Glenbrook Road, Unit 3037 Storrs, CT 06269-3037
Campus Storrs
Link Research Website
Google Scholar Link

Brief Bio

Dr. Monika Filipovska is an Assistant Professor in the Civil and Environmental Engineering department at the University of Connecticut (UConn). She leads the advanced mobility lab within the transportation and urban engineering group. Her research centers around advancing data-driven vehicle automation, networks, connectivity, and evolving developments in mobility. She is also interested in transportation data science and uses machine learning to predict future traffic flow.

Dr. Filipovska received the UConn Research Excellence Award. Her paper on "Estimation of Path Travel Time Distributions in Stochastic Time-Varying Networks with Correlations," co-authored with Hani S. Mahmassani and Archak Mittal, received an Honorable Mention for the Stella Dafermos Best Paper Award at the 2023 TRB Annual Meeting.

She's involved in projects on optimizing fleet rebalancing for shared mobility services and operational problems for decision-making in shared autonomous mobility services. She's also working on the CTfastrak Data Repository & Analysis project, focusing on the first American pilot of full-sized, automated buses.

Her research centers around advancing data-driven vehicle automation, networks, connectivity, and evolving developments in mobility. She is also interested in transportation data science and uses machine learning to predict future traffic flow.

  • Dynamic Transportation Networks: Reliability Modeling, Path Finding, and Routing
  • Traffic Flow Characteristics: Modeling, Simulation, and Prediction
  • Intelligent Transportation and Mobility Systems: Predictive and Prescriptive Analytics
  • Applications of Emerging Vehicle and Infrastructure Technologies
  • Transportation Applications of Big Data, Machine Learning and Artificial Intelligence
  • CE 5030 Seminar in Transportation and Urban Engineering
  • CE 4730 / 5730 Transportation Planning
  • CE 6725 Statistical and Econometric Methods
Traffic flow breakdown prediction using machine learning approaches
M Filipovska, HS Mahmassani
Transportation research record 2674 (10), 560-570
Stochastic Lagrangian modeling of traffic dynamics
SE Jabari, F Zheng, H Liu, M Filipovska
Proc. 97th Annu. Meeting Transp. Res. Board, 1-14
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
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
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
Spatio-Temporal Characterization of Stochastic Dynamic Transportation Networks
M Filipovska, HS Mahmmasani
IEEE Transactions on Intelligent Transportation Systems 24 (9), 1-11
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
Developing an eco-driving strategy in a hybrid traffic network using reinforcement learning
U Jamil, M Malmir, A Chen, M Filipovska, M Xie, C Ding, YF Jin
Science Progress 107 (3), 00368504241263406
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
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
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
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 …
A Priori and Adaptive Reliable Routing in Stochastic Dynamic Networks with Correlations
M Filipovska, HS Mahmmasani
2021 International Symposium on Transportation Data and Modelling
Travel Time Reliability in Stochastic Dynamic Transportation Networks: Modeling, Path Finding and Routing
M Filipovska
Northwestern University
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
EAGER: Quantum Algorithmic Foundations for Reliable Transportation Networks
M Filipovska
NSF Award Number 2520130. Directorate for Engineering 25 (2520130), 20130
Autonomous Vehicle Fleet Operations with Constrained Entropy-Based Dynamic Autonomous Vehicle Routing: Insights for Environmentally Conscious Shared Mobility
P Ha, M Filipovska, R Du, S Labi, S Chen
Multimodal Transportation, 100236
Hard braking collected from probe vehicles as a predictor of crash occurrence at urban intersections in Connecticut
Q Packer, J Ivan, M Filipovska
Journal of Transportation Safety & Security, 1-31
Demand-aware distributed pathfinding for repositioning vehicles in shared-use autonomous mobility services
H Bala, M Filipovska
International Journal of Transportation Science and Technology
Foundations of Quantum Information Science for Transportation Networks
M Filipovska
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4976781