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Found 4 papers, 0 papers with code
A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization
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.
A data-driven approach to predict decision point choice during normal and evacuation wayfinding in multi-story buildings
This paper demonstrates the potential of applying a machine learning algorithm to study pedestrian route choice behavior in complex indoor buildings.
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events
Notably, the focus is on generating multi-day ahead forecasts for event-planning purposes using Resono data.
Day-to-day and seasonal regularity of network passenger delay for metro networks
We employ temporal clustering on these two quantities to reveal daily and seasonal regularity in delay patterns of the transit network.
