Design and Evaluation of a Distributed Architecture for GeoSparkSim

Verónica Alba Valencia, Julio Proaño Orellana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The human being throughout history has developed ways to optimize his time and resources. Nowadays, mobility is one of the biggest problems. Traffic simulation tools are frequently used to study mobility problems. GeoSparkSim is a vehicular traffic simulation tool that extends Apache Spark to generate datasets of road network traffic significantly with the simulation of microscopic traffic that includes traffic lights, change of track, and the pursuit of vehicles. This work presents an architecture to implement and evaluate the GeoSparkSim simulation tool. The architecture was developed on different containers in Docker, and two stages of the study were created for its evaluation. Each stage contains 26 simulations in different geographic zones from the Quito city. Results show the potentials of GeoSparkSim in order to study traffic mobility and compare its implementation on different Cloud services such as Google, Amazon, and Azure. In order to have an acceptable simulation, we found a machine that has at least 146 GB in storage and 8 GB in RAM is recommended.

Original languageEnglish
Title of host publicationCommunication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021
EditorsÁlvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9789811641251
StatePublished - 2022
Event7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online
Duration: 26 May 202128 May 2021

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


Conference7th International Conference on Science, Technology and Innovation for Society, CITIS 2021
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.


  • Apache Spark
  • Data space-oriented approach (DSO)
  • Microscopic traffic simulation
  • Network-based approach (NB)
  • Resilient distributed datasets (RDD)
  • Spatio-temporal data


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