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Oscar Ivarsson

Showing 8 publications

2024

From explanations to predictions. Developing a predictive model of pedestrian flows on existing and planned streets.

Ioanna Stavroulaki, Oscar Ivarsson, Meta Berghauser Pont et al

Proceedings of the 14th International Space Syntax Symposium, SSS 2024, p. 1705-1734

Paper in proceeding

2023

Crowd Movement - DTCC Milestone Project

Meta Berghauser Pont, Ioanna Stavroulaki, Oscar Ivarsson et al

Report

2022

Artificial Intelligence, 3D Documentation, and Rock Art - Approaching and Reflecting on the Automation of Identification and Classification of Rock Art Images

Christian Horn, Oscar Ivarsson, Cecilia Lindhé et al

Journal of Archaeological Method and Theory (1), p. 188-213

Journal article

2022

Data-driven models for predicting microbial water quality in the drinking water source using E. coli monitoring and hydrometeorological data

Ekaterina Sokolova, Oscar Ivarsson, Ann Lillieström et al

Science of the Total Environment

Journal article

2022

Local forecasts of electrc vehicles for grid planning purposes

Elias Hartvigsson, Ann Lillieström, David Steen et al

IET Conference Proceedings (3), p. 878-882

Journal article

2021

Functional ANOVA modelling of pedestrian counts on streets in three European cities

David Bolin, Vilhelm Verendel, Meta Berghauser Pont et al

Journal of the Royal Statistical Society. Series A, (Statistics in Society) (4), p. 1176-1198

Journal article

2018

Towards Machine Learning on Data from Professional Cyclists

Oscar Ivarsson, Agrin Hilmkil, Moa Johansson et al

Proceedings of the XII World Congress of Performance Analysis of Sport

Paper in proceeding

2018

Spatio-temporal modelling of wind speed variation

Wengang Mao, Oscar Ivarsson, Igor Rychlik

Proceedings of the International Offshore and Polar Engineering Conference, p. 397-402

Paper in proceeding

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Publications for Chalmers University of Technology

Project	Department	Years
Crowd Movement. Predicting pedestrian movement in public space.	Architecture and Civil Engineering; Computer Science and Engineering (Chalmers)	2021–2023
Digital Twin of Transport Infrastructure – combining the power of data & model	Architecture and Civil Engineering; Computer Science and Engineering (Chalmers)	2019–2020
STEPFlow_Spatio-temporal modelling and estimation of pedestrian flow	Mathematical Sciences; Computer Science and Engineering (Chalmers); Architecture and Civil Engineering	2018–2019