3 citations · 5 across the 5 of their papers we have counts for
5 papers
Quantum Amplitude Estimation for Travel Time Estimation in Stochastic Vehicle Routing Problems
Xingyue Wang, Monika Filipovska
Solving the Vehicle Routing Problem (VRP) in Stochastic Transportation Networks (STNs), a core task in Intelligent Transportation Systems (ITS), introduces estimation challenges fo…
Feasibility-Preserving Quantum Search for Constrained Transportation Routing
Dahye Kim, Monika Filipovska
Transportation routing problems such as the Traveling Salesperson Problem (TSP) and the Vehicle Routing Problem (VRP) are characterized by strict feasibility requirements involving…
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach
Syed Islam, Monika Filipovska
Traffic state forecasting is crucial for traffic management and control strategies, as well as user- and system-level decision making in the transportation network. While traffic f…
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach
Bin Lei, Shaoyi Huang, Caiwen Ding +1
Traffic state prediction in a transportation network is paramount for effective traffic operations and management, as well as informed user and system-level decision-making. Howeve…
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach
Monika Filipovska, Michael Hyland, Haimanti Bala
Shared-use autonomous mobility services (SAMS) present new opportunities for improving accessible and demand-responsive mobility. A fundamental challenge that SAMS face is appropri…