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DOI: 10.4121/51fa919d-bc31-4e55-92ac-6fc67ff50fcc

Eftekhar, Zahra; Behrouzi, Saman; Panchamy Krishnakumari; Pel, Adam; van Lint, Hans (2024): The codes associated with the publication: The Role of Spatial Features and Adjacency in Data-driven Short-term Prediction of Trip Production: An Exploratory Study in the Netherlands. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/51fa919d-bc31-4e55-92ac-6fc67ff50fcc.v1

Categories

• Civil Engineering
• Urban and Regional Planning
• Environmentally Sustainable Transport
• Ground Transport
• Other Transport
• Engineering
• Transport
• Built Environment and Design

Keywords

demand prediction graph convolution residual analysis spatial scale spatial-temporal pattern trip production

Geolocation

Licence

MIT

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by Zahra Eftekhar , Saman Behrouzi, Panchamy Krishnakumari, Adam Pel , Hans van Lint

This repository contains the codes associated with the research paper titled "The Role of Spatial Features and Adjacency in Data-driven Short-term Prediction of Trip Production: An Exploratory Study in the Netherlands". The paper is currently under review for publication in the IEEE Transactions on Intelligent Transportation Systems. This code repo is intended to perform analysis on the temporal patterns prediction of travel demand in the Netherlands. The data source needed for running this code can be found under the name " The input data associated with the publication: The Role of Spatial Features and Adjacency in Data-driven Short-term Prediction of Trip Production: An Exploratory Study in the Netherlands".

History

• 2024-09-30 first online, published, posted

Publisher

4TU.ResearchData

Format

scripts/ .py and .ipynb; package management/ requirements.txt; README file/ .md

Code hosting project url

https://gitlab.tudelft.nl/zahraeftekhar/prediction-of-trip-production

Data link

https://doi.org/10.4121/835e7093-024c-4bed-b7e5-28f1582f5998

Funding

• MiRRORS (grant code 16270) NWO/TTW

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning