H. Ballis, L. Dimitriou - Revealing personal activities schedules from synthesizing multi-period origin-destination matrices
Analyzes personal activity patterns via synthesized OD matrices.
Academic and applied research underpinning Transopt's approach — spanning origin-destination matrix synthesis, reinforcement learning for traffic control, Mobility-as-a-Service demand modelling and agent-based ride-share simulation.
Analyzes personal activity patterns via synthesized OD matrices.
Evaluates reinforcement learning for traffic signal optimisation in Nicosia.
Develops graph-theoretical and integer programming methods for tour synthesis.
Models ride-share mobility services using agent-based simulation.
Explores methods for synthesizing trip chains from multi-period OD matrices.
Discusses demand modelling for Mobility-as-a-Service business models.
Focuses on optimal train loading plan implementation for freight services between Athens and Thessaloniki.
Whatever sector you operate in, we can help you optimise your processes.