Abstract
Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Electric vehicles (IoEV) as well as their hybrid forms provide an ideal means of supporting sustainability within an ITS. The control of charging/discharging of EV is still a challenge, despite the tremendous research progress to date in the field. In this paper, the use of charging station data and binary vectorization are proposed in order to provide timely insights on the dynamic behavior of charging processes. A Bag-of-Power-States model has been created for similarity measurement of charging stations within given time periods. The results of experimentations using synthetic data have shown that the proposed Bag-of-Power-States model is computationally feasible and provides useful results for optimizing the scheduling of power supply to charging stations that may be located across a wide range of distances, over the same period of time.
Highlights
A synthetic dataset containing varying levels of charging load profiles was created for the feasibility and performance of the Bag-of-Power-States model
PHEVs are a promising solution for ensuring sustainability of Intelligent Transportation Systems (ITSs) with additional benefits for electric power and energy systems
This paper explored the use of power consumption data and binary vectorization in order to optimize the scheduling of power supply to charging stations
Summary
While the benefits of ITS cannot be understated with Advanced Driver-Assistance Systems (ADAS), Cooperative Adaptive Cruise Control (CACC), Lane Departure Warning/Keeping (LDW/LDK), and Collision Avoidance Systems (CAS) helping to prevent road accidents and save lives, plus efficient routing and traffic management strategies saving time and money, technological advancements present new forms of challenges for the automotive industry [5] These challenges include unprecedented levels of data that needs to be processed in a timely matter in order to be acted upon, ensuring optimal performance of the services, communications, while accounting for varying vehicle motions and a variety of locations, and providing adequate measures of security and privacy of data and infrastructure at all levels both within and beyond a vehicle.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
