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Hi all!

I'm developing a research that involves the simulation of urban traffic scenarios with electric vehicles. I'm working over a method to route choice. To experiment my method I need an important information: How many time drivers are willing to spend for the sake of saving energy? I use this information in terms of percentages. In this case, 40% of drivers are willing to spend 10% more time; 35% of drivers are willing to spend 20% more time; and 25% of drivers are willing to pay 50% more time.

I need to calibrate this values with (approximately) true values. In this case, I will make a survey to get this information from people. But maybe anybody have this information, maybe exist a published paper, Web article or previous research that contains this kind of information that I'm searching.

Can anyone help me?

Thanks!
 

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Hi all!

I'm developing a research that involves the simulation of urban traffic scenarios with electric vehicles. I'm working over a method to route choice. To experiment my method I need an important information: How many time drivers are willing to spend for the sake of saving energy? I use this information in terms of percentages. In this case, 40% of drivers are willing to spend 10% more time; 35% of drivers are willing to spend 20% more time; and 25% of drivers are willing to pay 50% more time.

I need to calibrate this values with (approximately) true values. In this case, I will make a survey to get this information from people. But maybe anybody have this information, maybe exist a published paper, Web article or previous research that contains this kind of information that I'm searching.

Can anyone help me?

Thanks!
Interesting question, but it is an incomplete question.

A more pertinent question would include "at what price per mile for fuel/electricity" and "if the fuel is dirty / clean".

Without those qualifiers it is pretty much a meaningless question.

For example, if you can travel 100 miles on solar power from panels that cost $1 per Kw, then the answer will be 0% pretty much all the time.

Since that is what we will probably be seeing in the next 15-20 years, any other answer to your question is probably moot except for a very short period of time.
 

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To experiment my method I need an important information: How many time drivers are willing to spend for the sake of saving energy?
You can quantify this the more information you have about the specific pieces being used.

Steps:
#1> Batteries
#2> Power Electronics
#3> Motor
#4> Transmission
#5> Rolling Resistance
#6> Wind resistance
#7> Contextual variables

The efficiency and usable content (power or energy) changes for each of those 7 things as you use them differently.

I would start with aerodynamics , and work from there .. for whatever your context / vehicle situation is you are trying to analyze.

Example:
Aerodynamic losses:
Power:


Energy is the power for a period of time.

Rolling Resistance:

Again Power = F x V

Example graph of the changing efficiency curve of the combined electric motor and power electronics from a 2005 Honda Accord HEV.
Link

How it compared the the combined graph for the Prius Motor and power electronics:
Link

Example of efficiency difference for different transmission gears.
Link

Etc ... etc.
 
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