Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

AL-S2m: Soft road traffic Signs map for vehicular systems

Author 1: Ammar LAHLOUHI
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 11 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.061136

Abstract

In this paper, we describe AL-S2m, a roadmap with traffic signs to be used in vehicular systems. AL-S2m is part of a more general system of traffic signs (TSs) management, called AL-S2, which includes two sides: central map server and client vehicular system. The server allows establishing, maintaining and disseminating AL-S2m. The client localizes the vehicle in AL-S2m and detects TSs. In this paper, we focus on the AL-S2m establishment. AL-S2m can handle variable TSs and its update is easy, which keeps it coherent with the reality. Also, it improves the map-matching algorithm. We implemented AL-S2m easily using an Android device.

Keywords

How to Cite this Article

LAHLOUHI, A. (2015). AL-S2m: Soft road traffic Signs map for vehicular systems. International Journal of Advanced Computer Science and Applications, 6(11). https://doi.org/10.14569/IJACSA.2015.061136

LAHLOUHI, Ammar. "AL-S2m: Soft road traffic Signs map for vehicular systems." International Journal of Advanced Computer Science and Applications, vol. 6, no. 11, 2015, https://doi.org/10.14569/IJACSA.2015.061136.

@article{LAHLOUHI2015,
  title     = {AL-S2m: Soft road traffic Signs map for vehicular systems},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {11},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Ammar LAHLOUHI},
  doi       = {10.14569/IJACSA.2015.061136},
  url       = {https://doi.org/10.14569/IJACSA.2015.061136}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.