Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Русский
Глава

Smart Pavement-Interactive EVs for Self-Sustained Urban Transportation Networks

Ramy AlfatlawyZaid AlsalamiChandrakumar Vivek KumarShoira IsayevaTadjikhan SobitovaDepartment of Civil, Gokaraju Rangaraju Institute of Engineering and Technology,Tashkent State University of Uzbek Language and Literature Named after Alisher Navoi,Chirchik State Pedagogical University
2026en
ABI

Аннотация

While electric vehicles (EVs), are proliferating rapidly in the urban setting, their dependence on the current charging infrastructure is severely limited: the infrastructure clusters the vehicles themselves, increasing congestion; it relies on centralized power grids that lead to demand crowding, spiking load at the grid; and it suffers from poor awareness of charging schedules. Traditional charging models cannot sustain current urban population trends and the need for reduced impacts on the environment. To solve this problem, we present a novel smart pavement system that incorporates piezoelectrics, solar panels, dynamic wireless EV charging, and communication between the vehicles and the pavement (V2I). The clean energy generated from mechanical stress and solar radiation is stored locally and redistributed to EVs as they travel in this multi-layer pavement design. With the edge AI, intelligent load traffic load balancing, and energy management, vehicles will adaptively migrate traffic and disperse the charging in real time without putting burdens on the central grid. The emerging trend of electric vehicles (EVs) worldwide is due to the necessity to cut down carbon emissions, decrease dependence on fossil fuels, and prevent harm to the climate. This solution is used to mitigate dependence on nonrenewable energy by encouraging the development of a resilient, self-sustaining transportation ecosystem. Once the smart pavements, they actively interact with EVs using Vehicle-to-Infrastructure (V2I) communication to perform realtime energy transfer, traffic load balancing, and to plan intelligent routes.

Темы

Идентификаторы

Цитирования и источники

Цитирований: 0Использованных источников: 0
Показатели — AkademScholar · Скоро