Abstract This paper presents a novel integrated framework for simulating the charging load of an electric vehicle charging station. The framework is built based on the cellular automaton model, including five modules: vehicle generation, charging station, lane change, speed update and boundary clear. The proposed framework can effectively stimulate the system dynamics of the traffic system and charging power process in a charging station. Case studies have verified its feasibility and effectiveness
We present a hybrid model combining cellular automata (CA) and agent-based modeling (ABM) to analyz...
With the increasing deployment of electric vehicles (EVs), electric vehicle charging stations (EVCSs...
With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for E...
Electronic Vehicles have been rapidly developing world widely as it is eco-friendly and cost effecti...
At present, battery charging operations constitute one of the most critical obstacles toward a large...
In fact electric mobility becomes in different fields of research an important matter, realistic mod...
Large scale adoption of EVs undoubtedly raises electricity demand by a large extent. Hence, there is...
A Cellular Automaton is a extremely simplified program for the simulation of complex transportation ...
Major global concerns for today’s world are the implications of climate change and future energy sec...
This paper presents an agent model to the simulation of the charging process to control and monitor ...
Ding Modeling and simulation of highway traffic using a cellular automaton approac
Gridlock is a microscopic traffic simulation platform and is now extended with electric vehicle supp...
Recently, due to the growth of the electric vehicle (EV) market, the investigation of grid-to-vehicl...
Smart electric vehicle charging has recently garnered significant attention in the research communit...
In this paper, we extend a previously introduced traffic cell transmission model (CTM) to take elect...
We present a hybrid model combining cellular automata (CA) and agent-based modeling (ABM) to analyz...
With the increasing deployment of electric vehicles (EVs), electric vehicle charging stations (EVCSs...
With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for E...
Electronic Vehicles have been rapidly developing world widely as it is eco-friendly and cost effecti...
At present, battery charging operations constitute one of the most critical obstacles toward a large...
In fact electric mobility becomes in different fields of research an important matter, realistic mod...
Large scale adoption of EVs undoubtedly raises electricity demand by a large extent. Hence, there is...
A Cellular Automaton is a extremely simplified program for the simulation of complex transportation ...
Major global concerns for today’s world are the implications of climate change and future energy sec...
This paper presents an agent model to the simulation of the charging process to control and monitor ...
Ding Modeling and simulation of highway traffic using a cellular automaton approac
Gridlock is a microscopic traffic simulation platform and is now extended with electric vehicle supp...
Recently, due to the growth of the electric vehicle (EV) market, the investigation of grid-to-vehicl...
Smart electric vehicle charging has recently garnered significant attention in the research communit...
In this paper, we extend a previously introduced traffic cell transmission model (CTM) to take elect...
We present a hybrid model combining cellular automata (CA) and agent-based modeling (ABM) to analyz...
With the increasing deployment of electric vehicles (EVs), electric vehicle charging stations (EVCSs...
With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for E...