activity
20032025
most citedInvestigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks

4 citations · 14 across the 14 of their papers we have counts for

collaborators

15 papers

math.DS2025

Journey Through the World of Dynamical Systems on Networks

A. Puchalska, M. N. Cartier van Dissel, P. Gora +9

We present a subjective selection of methods for complex systems analysis ranging from statistical tools through numerical methods based on AI to both linear and non-linear ODEs an…

math.AP2024

A Payne-Whitham model of urban traffic networks in the presence of traffic lights and its application to traffic optimisation

Mauritz N. Cartier van Dissel, Paweł Gora, Dragoş Manea

Urban road transport is a major civilisational and economic challenge, affecting the quality of life and economic activity. Addressing these challenges requires a multidisciplinary…

cs.CY2021★ 2 cited

Modelling mobility and visualizing people's flow patterns in rural areas for future infrastructure development as a good transnational land-governance practice

Paula Botella, Paweł Gora, Martyna Sosnowska +2

This paper summarizes a cross-border mobility study, origin-destination mobility modelling and visualization, conducted in support of the infrastructure development efforts of loca…

cs.LG2021★ 1 cited

Predicting times of waiting on red signals using BERT

Witold Szejgis, Anna Warno, Paweł Gora

We present a method for approximating outcomes of road traffic simulations using BERT-based models, which may find applications in, e.g., optimizing traffic signal settings, especi…

math.DS2019

Absolutely Continuous Invariant measures for non-autonomous dynamical systems

Pawel Gora, Abraham Boyarsky, Christopher Keefe

We consider the non autonomous dynamical system where is a continuous map and is a compact metric space. We assume that conve…

cs.LG2018★ 4 cited

Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks

Paweł Gora, Maciej Brzeski, Marcin Możejko +2

We analyze the accuracy of traffic simulations metamodels based on neural networks and gradient boosting models (LightGBM), applied to traffic optimization as fitness functions of…