• DocumentCode
    3582158
  • Title

    Optimal vehicular routing and driving guidelines with human intelligence

  • Author

    Dhanalakshmi, K. ; Kumar, N. Vel Murugesh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Saveetha Eng. Coll., Chennai, India
  • fYear
    2014
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    An android based advisor system based on the human intelligence to reach a particular destination at a given departure time. A good routing service is based on paths, traffic and drivers. GPS-equipped cabs are employed as mobile devices probing the location-based services. Google and Bing maps also provide driving guidelines is just for user information. A landmark graph is built to estimate the traffic conditions based arranged positive limits. Optimal path steering process contains now finding the optimal path created on the autonomy and longitude location of the transportable handler to extent a specific endpoint. The material around the handler position is deposited in the file a information graph is formed to inform the actual period evidence to the movable worker. We form our scheme created on a everyday direction records fixed produced by done 33,000 cabs in a dated of three months, and calculate the organization via directing both mock tests and in-the-field estimations. As a effect, on normal, 50 percent of our paths remain on minimum 20 percent quicker than the challenging methods.
  • Keywords
    Android (operating system); cartography; data mining; mobile computing; traffic engineering computing; Android based advisor system; Bing map; Google map; human intelligence; information graph; landmark graph; optimal path steering process; optimal vehicular routing guideline; user information; vehicular driving guideline; Cities and towns; Computers; Conferences; Databases; Global Positioning System; Mobile communication; Vehicles; GIS; GPS path; data mining; driving guidelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Systems, 2014 International Conference on
  • Print_ISBN
    978-1-4799-3671-7
  • Type

    conf

  • DOI
    10.1109/ICCCS.2014.7068194
  • Filename
    7068194