Advertisement

Intelligent Application to Reduce Transit Accidents in a City Using Cultural Algorithms

  • Fernando Maldonado
  • Alberto Ochoa
  • Julio Arreola
  • Daniel Azpeitia
  • Ariel De la Torre
  • Diego Canales
  • Saúl González
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 217)

Abstract

Ciudad Juárez, a large city located along the Mexico-United States border with a population over a million people in 87 km2 has recently experienced a history of violence and insecurity related directly to organized crime: assaults, kidnappings, multi-homicides, burglary, between others. However the second leading cause of death in the city is associated with traffic accidents: 1,377 deaths in 2011 alone. For this reason, citizens have actively pursued specific programs that would decrease the overwhelming statistics: 3,897 deaths from 2008 to 2012. The reason of the following project is to provide drivers with a technological tool with indicators and sufficient information based off statistics compiled by the Centro de Investigaciones Sociales (Social Research Centre) at Autonomous University of Ciudad Juárez and other public sources. Then drivers would have more information on possible traffic accidents before they happened. This research tries to combine a Mobile Device based on Cultural Algorithms and Data Mining to determine the danger of suffering a traffic accident in a given part of the city during a specific time.

Keywords

Data Mining Cultural Algorithms Mobile Devices 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ignacio, A.F.: Las coordenadas geográficas y la proyección UTM, Universidad de Valladolid, Ingeniería cartográfica, geodésica y fotogrametría (Febrero 2001)Google Scholar
  2. 2.
    Alejandro, A.R.: Estudio del desarrollo de aplicaciones RA para Android. Trabajo de fin de Carrera. Catalunya, España (2011)Google Scholar
  3. 3.
    Orlando, B.J.: Sistema de Información Geográfica Móvil Basado en Comunicaciones Inalámbricas y Visualización de Mapas en Internet. M.C. tesis, Ensenada, Baja California, México (2011)Google Scholar
  4. 4.
    Cáceres, A.: Sistemas de Información Geográfica. Profesorado en Geografía. Instituto Formación Docente P.A.G. (2007) Google Scholar
  5. 5.
    Reyes, L.C., Zezzatti, C.A.O.O., Santillán, C.G., Hernández, P.H., Fuerte, M.V.: A Cultural Algorithm for the Urban Public Transportation. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds.) HAIS 2010, Part II. LNCS (LNAI), vol. 6077, pp. 135–142. Springer, Heidelberg (2010)Google Scholar
  6. 6.
    Glass, S., Vallipuram, M., Portmann, M.: The Insecurity of Time-of-Arrival Distance-Ranging in IEEE 802.11 Wireless Networks. In: ICDS Workshops, pp. 227–233 (2010)Google Scholar
  7. 7.
    Souffiau, W., Maervoet, J., Vansteenwegen, P., Vanden Berghe, G., Van Oudheusden, D.: A Mobile Tourist Decision Support System for Small Footprint Devices. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds.) IWANN 2009, Part I. LNCS, vol. 5517, pp. 1248–1255. Springer, Heidelberg (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Fernando Maldonado
    • 1
  • Alberto Ochoa
    • 1
  • Julio Arreola
    • 1
  • Daniel Azpeitia
    • 1
  • Ariel De la Torre
    • 1
  • Diego Canales
    • 1
  • Saúl González
    • 1
  1. 1.Autonomous University of Ciudad JuárezCiudad JuárezMexico

Personalised recommendations