Toward An Intelligent Informative System to Determine Locations Paths in Doha City

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Toward An Intelligent Informative System to Determine Locations Paths in Doha City

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dc.contributor.author Alja'am, Jihad
dc.contributor.author Hassan, Shagra Ali
dc.contributor.author Burshaid, Lulwa
dc.contributor.author Ali, Arwa
dc.contributor.author Kaseem, Suad
dc.date.accessioned 2009-12-28T07:10:43Z
dc.date.available 2009-12-28T07:10:43Z
dc.date.issued 2008-04-07
dc.identifier.uri http://dx.doi.org/10.1109/ICTTA.2008.4529958
dc.identifier.uri http://hdl.handle.net/10576/10508
dc.description.abstract Tourists and new comers arriving to Doha city, the capital of Qatar, need always to know about specific locations (i.e., tourist sites, hotels, schools, universities, shopping centers, hospitals, health centres, mosques, sporting clubs, etc.) and the possible routes leading to them. They are generally using static sources (i.e., Doha maps, brochures, diverse websites, etc) to get information about theses locations or they may ask others (i.e., residents, colleagues, passer-by). Even these information seem useful, they are however imprecise and will not fully satisfy the people requests and fulfill their incremental needs. An intelligent system helping these people to find quickly a location in Doha city is needed. Such a system will give detailed information about a specific location and determine the possible paths to reach it. People are always looking to save on time and resource (i.e., gas consumption, distances, time), therefore the system will be able to find the shortest routes leading to a specific location. In addition, it will help the potential users to plan a trip and visit a set of different locations within a limited period of time. Our system proposes routes leading to the user's destination and avoid passing thru locations with high accidents rates or heavy traffic. Doha city is divided into 71 different regions which are modeled by a weighted and connected graph. Each vertex of this graph represents a specific region, which, in turn, can be a sub-graph to allow internal search within the region. Dijkestra's algorithm is used to find the shortest paths between the regions. Information's about the regions are stored in a database for possible retrieval. The weight of the edge connecting two vertices represents the distance in KM between two regions. en_US
dc.language.iso en en_US
dc.subject Transportation en_US
dc.subject Optimization en_US
dc.subject Intelligent Systems en_US
dc.subject Graph Algorithms en_US
dc.subject Artificial Intelligence en_US
dc.title Toward An Intelligent Informative System to Determine Locations Paths in Doha City en_US
dc.type Article en_US

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