Driving preference analysis and electricity pricing strategy comparison for electric vehicles in smart city

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

“…The authors in [204] proposed a DL approach to monitor and optimize electric vehicles' power consumption in smart cities. The authors in [205] proposed a framework to monitor the electric-vehicles driver's preferred routes and the power consumption.…”

Effective policies to overcome barriers in the development of smart cities

“…In addition, policies such as utilization of EVs [40], evaluation of common frameworks in order to interact between intelligent transportation and EVs in smart cities [41], having a regular and reasonable electricity pricing strategy contributing to grid security [42], and appropriate investment and good support from the government [43] are important to create intelligent energy sytems for smart cities.…”

Intelligent Transportation Systems for Electric Vehicles

“…Based on the navigation of EV's user studies [31,32,37] present the work on this field, where [32,37] intends to analyze the driving preferences to define a price strategy to divert the traffic flow, meanwhile, study [31] proposes to minimize the travel time and charging cost throw an adaptation to driver preferences recurring to a Deep Reinforcement Learning strategy with the coordinated operation of smart grid. Regarding the Smart Grid's topic, study [39] studies the charging problem of smart-grid charging stations and connected electric vehicles.…”