Simulation optimization using SUMO : case of Casablanca

Authors

  • Hamid HRIMECH University Hassan 1st, ENSA de Berrechid, LAMSAD, B.P 218, Morocco
  • Mohammed BENALLA University Hassan 1st, ENSA de Berrechid, LAMSAD, B.P 218, Morocco
  • Boujemaa ACHCHAB University Hassan 1st, ENSA de Berrechid, LAMSAD, B.P 218, Morocco
  • Amine EL ALAOUI University Hassan 1st, ENSA de Berrechid, LAMSAD, B.P 218, Morocco
  • Mohammed EL HAIL University Hassan 1st, ENSA de Berrechid, LAMSAD, B.P 218, Morocco

Keywords:

Computer simulation, Road traffic simulation, SUMO, SAX method

Abstract

Data exploiting from simulators of road traffic is a well-established field. This paper addresses the development of a tool for data representing for Simulation of Urban MObility (SUMO) software; aiming at first, to (a) optimize of required simulation scenarios inputs (i.e. configuration files), and parse generated data of simulation scenarios such as CO2 emission, noise emission. Secondly, to (b) make generated data more consumable, such as map of emissions activities along the area of study. The evaluation was done with a real-world scenario of Casablanca city, to highlight the performance of the proposed solution.

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References

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Published

2021-07-20

How to Cite

HRIMECH, H., BENALLA, M. ., ACHCHAB, B., EL ALAOUI, A. ., & EL HAIL, M. . (2021). Simulation optimization using SUMO : case of Casablanca . International Journal of Computer Engineering and Data Science (IJCEDS), 1(1), 28–36. Retrieved from http://ijceds.com/ijceds/article/view/14

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Articles