| Title |
A copula-based secured intelligent dynamic-static energy community transportation system for smart cities |
| ID_Doc |
40376 |
| Authors |
Jafari, M; Kavousi-Fard, A; Sheikh, M; Jin, T; Karimi, M |
| Title |
A copula-based secured intelligent dynamic-static energy community transportation system for smart cities |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.scs.2024.105432 |
| Abstract |
This paper addresses a secured co-dynamic model for the energy management of Electrical Vehicles (EVs) within the real community transportation system (RCTS). The proposed model aims to facilitate interoperability among mobile energy resources within the smart city, enabling the RCTS to model the co-dynamic-static transportation systems (TSs) simultaneously. The energy management model within the traffic flow system focuses on dynamic assignment, considering the power consumption associated with the density of moving vehicles. EVs play a key role in economically managing energy in both static and dynamic behaviors within charging stations while aligning with the current traffic flow. To enhance data security within the smart city ecosystem, a directed acyclic graph (DAG)-based decentralized cyber security approach is recommended. This approach ensures that data transactions involving mobile energy resources are secured against cyber-attacks through the use of public, private, and transaction blocks. Additionally, an uncertainty-based copula function is presented to create a precise management environment within the smart city. The results indicate that the proposed model for transportation energy resources tends to reduce energy costs by optimally controlling energy consumption within traffic flow, compared to normal conditions. |
| Author Keywords |
Smart city; Traffic flow; Real transportation energy management; Co-dynamic-static analysis; DAG; Copula function |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001286934500001 |
| WoS Category |
Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels |
| PDF |
|