no code implementations • 21 Nov 2023 • Mingjia He, Panchamy Krishnakumari, Ding Luo, Jiaqi Chen
The case study on the Amsterdam highway network shows how existing traffic data can be used to generate more realistic charging demand scenarios and how it can be integrated and evaluated within the optimization framework for facility planning.
no code implementations • 7 Aug 2023 • Yan Feng, Panchamy Krishnakumari
This paper demonstrates the potential of applying a machine learning algorithm to study pedestrian route choice behavior in complex indoor buildings.
no code implementations • 31 Jul 2023 • Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge Hoogendoorn
Notably, the focus is on generating multi-day ahead forecasts for event-planning purposes using Resono data.
no code implementations • 7 Jul 2021 • Panchamy Krishnakumari, Oded Cats, Hans van Lint
We employ temporal clustering on these two quantities to reveal daily and seasonal regularity in delay patterns of the transit network.