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Questions and Answers
What is the limitation of current models and applications that show only the closest stations and stations to a place?
They may not consider the traffic after the closest station, leading to the worst option.
How does the presented model address the limitation of current models?
By considering the driver's behavior and recommending the most suitable station for charging or fueling, minimizing the cost of refueling or charging.
What are the two scenarios that the presented model can be customized to work in?
The first scenario is when the time to visit for refueling has no other side costs, and the second scenario is when the cost of refueling time includes costs such as the driver's salary, delay in transporting passengers, etc.
What is the objective of the optimal consumption model?
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What are the benefits of using the presented model in route planning?
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How does the presented model differ from current models in its approach to route planning?
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What are the two types of vehicles for which the proposed model is designed to optimize the visit to gas stations and charging stations?
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What is the primary goal of the optimal consumption model in the context of charging stations along the route from the origin to the destination?
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How many data sets are required to refer to each potential petrol station to implement the proposed model and find its validity for petrol-based vehicles?
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What is the basis for determining the cost of electric vehicle battery charging service at a charging station?
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In which cities in Australia were three transportation routes with the same relative distance between two university campuses considered for an experimental study?
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What is the significance of the distance between two university campuses in each of the cities selected for the experimental study?
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Study Notes
Model Overview
- The presented model recommends the most suitable station for charging or refueling, minimizing the cost of refueling or charging operation.
- The model is flexible and can be customized to work in two scenarios: with or without side costs.
Data Requirements
- To implement the model for petrol-based vehicles, the following data sets are required:
- Data set 1: Cost of gasoline used for visiting the station.
- Data set 2: Driver's salary for visiting the station.
- Data set 3: Cost of fuel received according to the rate of each liter of fuel.
- To implement the model for Electric Vehicles (EVs), the following data sets are required:
- Data set 4: Cost of charging the battery used for visiting the charging station.
- Data set 5: Driver's salary for visiting the charging station.
- Data set 6: Cost of electric vehicle battery charging service according to the rate of each kilowatt hour.
Formulas and Variables
- Table 1 shows the variables and formulas used to collect data for calculating the cost of refuelling petrol-based cars.
Model Key Features
- The designed model is flexible and comprehensive, and can be used in all situations.
- The model optimizes the visit of petrol-based and electric vehicles to gas stations and charging stations.
- The model maintains its performance and efficiency even if there is no destination, considering the origin as the destination.
Experimental Study
- An experimental study was conducted to check the operation of the presented model and to check the real example of the implementation based on it.
- Three transportation routes with the same relative distance between two university campuses were considered in three cities: Melbourne, Sydney, and Perth, Australia.
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Description
This quiz assesses your understanding of electric vehicle route planning, considering factors like driver behavior, traffic, and charging stations. It evaluates the most suitable charging stations for a given route, taking into account time, distance, and traffic conditions.
