EVEREST project

Part of EU Open Research Repository
Published February 25, 2024 | Version v1
Dataset Open

Probabilistic Time-Dependent Routing (PTDR) Profile for the City of Prague, Czech Republic

Authors/Creators

Description

Probabilistic Time-Dependent Routing (PTDR) Profile derived from 20 traffic flow simulations with 10.000 vehicles each (over different times of day) within the span of a week, in Prague, Czech Republic. 

The profile indicates the probability of having certain speeds in various roads (i.e., map segments) of Prague, with a granularity of 15 minutes. The various simulations considered different times of the day, as well as multiple routing options for vehicles navigating through the city.

Files

Files (2.4 GB)

Name Size
md5:ac41d3a0a55f77dc491f1a83f6459bc4
2.4 GB Download

Additional details

Funding

European Commission
EVEREST - dEsign enVironmEnt foR Extreme-Scale big data analytics on heterogeneous platforms 957269

Software

Repository URL
https://github.com/It4innovations/ruth
Programming language
Python , C++

References

  • Golasowski, M. et al. (2020). Alternative Paths Reordering Using Probabilistic Time-Dependent Routing. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_22
  • Pilato, C., Banik, S., Beranek, J., Brocheton, F., Castrillon, J., Cevasco, R., ... & Hagleitner, C. (2024). A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach. arXiv preprint arXiv:2402.12612.