SLIDE 8
- Dr. Haiying Shen, Department of Computer Science, University of Virginia
Modeling Behavior of the Drivers as a Function of Incentive and Distance from the PL
- In addition to the value of discount on charging fee (γ), the average daily value of distance of the PEV
from the location of PL (η ) is considered.
- A linear function is assumed between ξModel
and η , as can be seen in TABLE I.
- By considering these two parameters (incentive and distance), ξModel
will be a three-dimensional spatial surface.
Proposed Technique
Mathematical model Percentage of drivers that charge their PEVs through the parking lot Power model 𝜊𝑄𝑝𝑥 = 100 × 𝛿 100
𝑜
, 𝑜𝜗 0.3,3 Linear model 𝜊𝑀𝑗𝑜 = 𝛿 Logarithmic model 𝜊𝑀𝑝 = 100 × 𝑚𝑜 𝛿 100 × 𝑓𝑦𝑞 1 − 1 + 1 Exponential model 𝜊𝐹𝑦𝑞 = 100 × 𝑓𝑦𝑞 𝑁 × 𝛿 100 − 1 , 𝑁 ≫ 1
TABLE I: The percentage of drivers that charge their PEVs through the parking lot as the mathematical functions of discount on charging fee (%).
Mathematic al model Percentage of drivers that charge their PEVs through the parking lot Power model 𝜊𝑄𝑝𝑥 = 𝑏1 × 𝛾 + 𝑏2 × 100 × 𝛿 100
𝑜
, 𝑜𝜗 0.3,3 Linear model 𝜊𝑀𝑗𝑜 = 𝑏1 × 𝛾 + 𝑏2 × 𝛿 Logarithmic model 𝜊𝑀𝑝 = 𝑏1 × 𝛾 + 𝑏2 × 100 × 𝑚𝑜 𝛿 100 × 𝑓𝑦𝑞 1 − 1 + 1 Exponential model 𝜊𝐹𝑦𝑞 = 𝑏1 × 𝛾 + 𝑏2 × 100 × 𝑓𝑦𝑞 𝑁 × 𝛿 100 − 1 , 𝑁 ≫ 1
TABLE II: The percentage of drivers that charge their PEVs through the parking lot as the mathematical functions of discount on charging fee (%) and distance from the parking lot (meter).
