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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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Benchmark for deterministic traffic simulator - parameter space exploration (Prague, Jun 6 2021)

Authors: Martin Šurkovský;

Benchmark for deterministic traffic simulator - parameter space exploration (Prague, Jun 6 2021)

Abstract

The benchmark is meant for deterministic traffic simulator for optimising traffic flow within a city. The simulator is one part of a traffic modeling framework for intelligent transportation in smart cities. In contrast to standard navigation systems where the navigation is optimised for drivers, we aim to optimise a distribution of the global traffic flow. We utilise HPC resources for the simulator’s parameters exploration for which EVEREST SDK is used. The traffic simulator is available at: github.com/It4innovations/ruth. The benchmark contains input data, routing map, and skript to run it with HyperQueue. Simulator v1.0 was used.

{"references": ["https://github.com/It4innovations/ruth", "https://github.com/It4innovations/hyperqueue", "E. Vitali, D. Gadioli, G. Palermo, et al., \"An efficient monte carlor-based probabilistic time-dependent routing calculation targeting a server-side car navigation system,\" English, IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 2, pp. 1006\u20131019, 2021, Cited By :3. [Online]. Available: www.scopus. com."]}

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Keywords

deterministic traffic simulator, parameter space exploration, Prague Jun 6 2021, 7 AM - 10 AM

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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