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  • 标题:A SPATIAL APPROXIMATE STRING QUERIES TO SOLOVE ISSUSES IN CARPOOL SERVICES USING MHR-TREE IN CLOUD
  • 本地全文:下载
  • 作者:R.Prasanthini ; K.Kavitha
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:1194-1197
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:The continuous population and economic growth has caused an massive increase in the number of private cars in cities worldwide. Carpooling is the sharing of car journeys so that more than one person travels in a car. Carpooling reduce each person's travel costs such as fuel costs, tolls, and the stress of driving. In a city area there are different option are available for public transportation but there are the disadvantage of comfort level. In this paper, we have presented an advanced carpooling system and described it in detail. This system can also be said as Intelligent Carpool System (ICS), which will give the carpooling participants to use the carpool services using simple handled smart devices anywhere and at any time. .It is significant to develop algorithmic methods for optimally matching drivers and passengers on the service agency of the ICS system. To give system users the opportunity to obtain carpool matches anyplace and at any time, drivers and passengers similar can use the MC module to execute carpool operations (e.g., requesting and offering ride) via their mobile devices. MHR tree, for efficiently answering approximate string match query in large spatial databases.
  • 关键词:Intelligent carpool service(ICS);Mobile Clients (MC) .
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