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Hybrid VITS: Real Time Path Planning and Data Dissemination Mechanism in Urban Scenario

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dc.contributor.author Summia Taj, 01-243172-031
dc.date.accessioned 2022-01-17T07:14:56Z
dc.date.available 2022-01-17T07:14:56Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/123456789/11607
dc.description Supervised by Dr. Awais Ahmed en_US
dc.description.abstract Vehicular Ad hoc Networks (VANETs) have fascinated remarkable interests due to their great applicability and viable significance. Path planning in VANETs based on efficient collection of real time data, which effectively mitigate the traffic congestion problems in urban areas. Real time data is shared in VANETS by using an effective sharing mechanism to avoid redundancy of collected information. However, dynamic path re-planning and effective sharing mechanism based on real time data are the still challenging problems. Therefore, first we proposed a novel data dissemination technique for information sharing among the roadside units (RSU) in hybrid VANETS intelligent transportation system (VITS). hybrid-VITS is comprised on VANETs, vehicular-traffic-server (VTS) and cellular system. Then, considering the traffic congestion in urban areas, optimal path is calculated to replan the path based on K-shortest path algorithm and RSU based load balancing technique is adopted to avoid further congestion generation. Furthermore, to validate the results information dissemination mechanism is implemented C# and simulation is carried out in Omnet++ to assess the proposed path planning algorithm, by using real time traffic set-up and the map of Berlin city from urban area. The results demonstrate the proposed solution outperform the prevailing methods. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences BUIC en_US
dc.relation.ispartofseries MS (CS);T-9646
dc.subject Hybrid VITS en_US
dc.subject Path Planning en_US
dc.subject Data Dissemination Mechanism en_US
dc.title Hybrid VITS: Real Time Path Planning and Data Dissemination Mechanism in Urban Scenario en_US
dc.type MS Thesis en_US


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