Route Planning and Optimization for Electrical Vehicle

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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


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