Map Conflation

Code for Establishing Multisource Data-Integration Framework for Transportation Data Analytics

This is a repo for demonstrating the map conflation algorithm in Reference [1]. The paper proposed a transportation data integration framework. Each data source can be integrated by mapping the data's geospatial information to a roadway referencing layer. The following figure shows the framework.

The referencing layer is the WSDOT 24K map (link). The conflated layer comes from HERE geographical map. The result of the map conflation is a linking layer that connects the referencing layer and the conflated layer. The following figure demonstrates the map conflation process.

The detailed steps for preparing the datasets and runing the algorithm is described in the Conflating HERE and WSDOT layers.ipynb file.

Reference

[1] Cui, Z., Henrickson, K., Biancardo, S.A., Pu, Z. and Wang, Y., 2020. Establishing Multisource Data-Integration Framework for Transportation Data Analytics. Journal of Transportation Engineering, Part A: Systems, 146(5), p.04020024. [link]

Cite

If you find this repository, e.g., the code and the datasets, useful in your research, please cite the following paper:

@article{cui2020establishing,
  title={Establishing Multisource Data-Integration Framework for Transportation Data Analytics},
  author={Cui, Zhiyong and Henrickson, Kristian and Biancardo, Salvatore Antonio and Pu, Ziyuan and Wang, Yinhai},
  journal={Journal of Transportation Engineering, Part A: Systems},
  volume={146},
  number={5},
  pages={04020024},
  year={2020},
  publisher={American Society of Civil Engineers}
}