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dc.contributor.author | Naima Adnan, 01-133202-091 | |
dc.contributor.author | Hassan Raza, 01-133202-126 | |
dc.contributor.author | Kashif Mehmood, 01-133202-129 | |
dc.date.accessioned | 2024-06-24T07:47:08Z | |
dc.date.available | 2024-06-24T07:47:08Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17444 | |
dc.description | Supervised by M. Hassan Danish Khan | en_US |
dc.description.abstract | As for Effective traveling and route planning there is a necessary condition for Route planning which considers some important factors such as range limitations, lack of charging infrastructure, real-time traffic conditions, and user preferences. In a world where the Adaptation of Electrical vehicles has been increased optimizing the path of the user and provide the minimum distance and optimal route is also the requirements necessary for travelling.As this suggests Effective trip planning that must consider the location of Electrical vehicle charging stations.The method considers the Location of charging stations, Range of Electrical vehicle,s and the parameters for the right path.The “range anxiety “ is effecting the travel quality of EV’s during driving.The proposed system integrates advanced methods and Heuristic algorithms and real-time data analysis to provide personalized route recommendations that balance efficiency, convenience, and environmental conditions for the adaptation of EV’s,and for providing a User-friendly solution that empowers EV drivers to navigate confidently while minimizing their original route. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Electrical Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | BEE;P-2717 | |
dc.subject | Electrical Engineering | en_US |
dc.subject | Processing Logic Algorithms | en_US |
dc.subject | Massive Adaptation | en_US |
dc.title | Route Planning and Optimization for Electrical Vehicle | en_US |
dc.type | Project Reports | en_US |