Optimization of LRT Route for Mobile Web Application Engine
Integrated light rail transit (LRT) system in the capital of Malaysia connects some key districts to historical places, interesting places, business areas and shopping malls are concentrated. The train services are running independently but have interchanges to integrate from one different LRT lines...
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| creator | Lim, A.M.H. Sazli, N.S.W. Hussin, B. Azlianor, A.A. Suhaizan, S.M. Massila, K. |
| description | Integrated light rail transit (LRT) system in the capital of Malaysia connects some key districts to historical places, interesting places, business areas and shopping malls are concentrated. The train services are running independently but have interchanges to integrate from one different LRT lines. This may leads the traveler facing difficulty when they are choosing incorrect destination station especially on different LRT lines which contribute to time consuming and high costing. In previous research we already implement the mobile Web application architecture where the destination-oriented routes need to be dynamically generated by determining the nearest station according to the specific places. In this paper, we proposed the used of Dijkstra's algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination. |
| doi_str_mv | 10.1109/SoCPaR.2009.126 |
| format | Conference Proceeding |
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In this paper, we proposed the used of Dijkstra's algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination.</description><subject>Curve fitting</subject><subject>Data mining</subject><subject>Dijkstra</subject><subject>Engines</subject><subject>Image segmentation</subject><subject>Information science</subject><subject>Iterative algorithms</subject><subject>Light rail systems</subject><subject>Mobile</subject><subject>Pattern recognition</subject><subject>Phase detection</subject><subject>Route</subject><subject>Shape</subject><subject>Shortest Path</subject><subject>Web</subject><isbn>1424453305</isbn><isbn>9781424453306</isbn><isbn>0769538797</isbn><isbn>9780769538792</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj09LwzAcQCMi6ObOHrzkC7Tm7y8JnkaZU6hM6sTjSOMvEuia0taDfnqFeXqXx4NHyA1nJefM3b3m6sU3pWDMlVzAGVkwA05La5w5JwuuhFJaSqYvyWqaUssEGLBKuCtyvxvmdEw_fk65pznSutnTJn_NSGMe6XNuU4f0HVu6HoYuhZO36T9Tj9fkIvpuwtU_l-TtYbOvHot6t32q1nWRuNFzIZEbIz2DIFrlRVQcdUThfYAATilvnfm7kG0EUB9WawBvlZVeB4fMWbkkt6duQsTDMKajH78PWhqmpZO_Cq1G2Q</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Lim, A.M.H.</creator><creator>Sazli, N.S.W.</creator><creator>Hussin, B.</creator><creator>Azlianor, A.A.</creator><creator>Suhaizan, S.M.</creator><creator>Massila, K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Optimization of LRT Route for Mobile Web Application Engine</title><author>Lim, A.M.H. ; Sazli, N.S.W. ; Hussin, B. ; Azlianor, A.A. ; Suhaizan, S.M. ; Massila, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-3e1773a06c2b4a2f41e5fe2aac6c6944a8971093bf664d85566a8483a5c9e0983</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Curve fitting</topic><topic>Data mining</topic><topic>Dijkstra</topic><topic>Engines</topic><topic>Image segmentation</topic><topic>Information science</topic><topic>Iterative algorithms</topic><topic>Light rail systems</topic><topic>Mobile</topic><topic>Pattern recognition</topic><topic>Phase detection</topic><topic>Route</topic><topic>Shape</topic><topic>Shortest Path</topic><topic>Web</topic><toplevel>online_resources</toplevel><creatorcontrib>Lim, A.M.H.</creatorcontrib><creatorcontrib>Sazli, N.S.W.</creatorcontrib><creatorcontrib>Hussin, B.</creatorcontrib><creatorcontrib>Azlianor, A.A.</creatorcontrib><creatorcontrib>Suhaizan, S.M.</creatorcontrib><creatorcontrib>Massila, K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lim, A.M.H.</au><au>Sazli, N.S.W.</au><au>Hussin, B.</au><au>Azlianor, A.A.</au><au>Suhaizan, S.M.</au><au>Massila, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimization of LRT Route for Mobile Web Application Engine</atitle><btitle>2009 International Conference of Soft Computing and Pattern Recognition</btitle><stitle>SOCPAR</stitle><date>2009-12</date><risdate>2009</risdate><spage>642</spage><epage>646</epage><pages>642-646</pages><isbn>1424453305</isbn><isbn>9781424453306</isbn><eisbn>0769538797</eisbn><eisbn>9780769538792</eisbn><abstract>Integrated light rail transit (LRT) system in the capital of Malaysia connects some key districts to historical places, interesting places, business areas and shopping malls are concentrated. The train services are running independently but have interchanges to integrate from one different LRT lines. This may leads the traveler facing difficulty when they are choosing incorrect destination station especially on different LRT lines which contribute to time consuming and high costing. In previous research we already implement the mobile Web application architecture where the destination-oriented routes need to be dynamically generated by determining the nearest station according to the specific places. In this paper, we proposed the used of Dijkstra's algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination.</abstract><pub>IEEE</pub><doi>10.1109/SoCPaR.2009.126</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2009 International Conference of Soft Computing and Pattern Recognition, 2009, p.642-646 |
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| language | eng |
| recordid | cdi_ieee_primary_5370539 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Curve fitting Data mining Dijkstra Engines Image segmentation Information science Iterative algorithms Light rail systems Mobile Pattern recognition Phase detection Route Shape Shortest Path Web |
| title | Optimization of LRT Route for Mobile Web Application Engine |
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