Automatic Dynamic User Allocation with opportunistic routing over vehicles network for Intelligent Transport System

Tirumalasetti, Roopa; Singh, Sunil Kumar

doi:10.1016/j.seta.2023.103195

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…The electric vehicle (EV), which also solves the world's energy problems, is the finest option. Autonomous electric vehicles (AEVs), or intelligent electric vehicles, offer the linked and shared layer needed for a smart city [29,30].…”

Section: Intelligent Transportation Systems Overviewmentioning

confidence: 99%

Electric Vehicles: Benefits, Challenges, and Potential Solutions for Widespread Adaptation

Alanazi

2023

Applied Sciences

209

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The world’s primary modes of transportation are facing two major problems: rising oil costs and increasing carbon emissions. As a result, electric vehicles (EVs) are gaining popularity as they are independent of oil and do not produce greenhouse gases. However, despite their benefits, several operational issues still need to be addressed for EV adoption to become widespread. This research delves into the evolution of EVs over time and highlights their benefits, including reducing carbon emissions and air pollution. It also explores the challenges and difficulties faced in their adoption, such as the high cost of infrastructure, scarcity of charging stations, limited range or range anxiety, and the performance of batteries. To overcome these challenges, potential solutions include enhancing the charging infrastructure, increasing the number of charging stations, using battery swapping techniques, and improving battery technology to address range anxiety and reduce charging times. Governments can incentivize consumers to purchase EVs through tax credits or subsidies and invest in building a robust charging infrastructure. Industry stakeholders can collaborate with governments to address these challenges and promote the adoption of EVs, which can contribute to reducing carbon emissions and air pollution.

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Section: Intelligent Transportation Systems Overviewmentioning

confidence: 99%