The Game Mechanics section of the manual details the internal formula used in the game's calculations. This section of the manual uses pseudo-code and may not be 100% the same as the code in the game.

The Game Mechanics part of the manual is mainly designed to be a reference for the frequently asked question, “Why do I get this rating when I do X, Y, Z?!” Usually, this answer involves many different variables, which this section of the manual demonstrates.

The game mechanics section of the manual shows how the sausage gets made. So you really may want to avoid this portion of the manual if you enjoy the game.

if(Adjusted_Years <= 25)
{
    Buying_Percentage = (((0.00155*Adjusted_Years) 
        +0.003)*City_ECOGROWTH)*Global_Buy_Rate*Global_Interest_Rates
}
else if(Adjusted_Years <= 105)
{
    Buying_Percentage = (((0.00025*Adjusted_Years)+0.035)*City_ECOGROWTH) *
        Global_Buy_Rate * Global_Interest_Rates
}
else if(Adjusted_Years <= 130)
{
    Buying_Percentage = (((-0.002*Adjusted_Years)+0.27125)*City_ECOGROWTH) * 
        (Global_Buy_Rate)*Global_Interest_Rates
}
else
{
    Buying_Percentage = (0.011 *City_ECOGROWTH) * Global_Buy_Rate * Global_Interest_Rates
}
 
 
if(City_GOVERN >= 1)
{
    govEffect = 0.5;
}
else if(City_GOVERN == 0)
{
    govEffect = 0.25;
}
else
{
    govEffect = 0;
}
 
RandomNumber = Random Number Between 0 AND ((City_INF/400.0)*
    (Consumer_Fluctuation_Rate))
 
//Total City Buying Pool
City_Buying_Population = (((((City_POPULATION)) * Buying_Percentage) *
    popBooster)*( RandomNumber + 0.85)) * City_BuyerRate* govEffect
 
//Vehicle Type Buying Pool
Vehicle_Type_Buyers = City_Buying_Population * Vehicle_Type_Popularity

See Buyer Rating Table Report.

For Every Car In Every Type Sold In City
{
 
	People = Vehicle_Type_People + ((Vehicle_Type_People*0.2) * indexMove^2) +
		((Vehicle_Type_People*0.01+3) * (0.1*(10-Vehicle_Type_WealthIndex))) * Dealerships
 
	People = People + ((Vehicle_Type_People *0.05) * 
        (Company_Racing_Image/100.0)) +
		((Vehicle_Type_People *0.15) * indexMove)
 
	People = People + ((Vehicle_Type_People *0.05) * 
        (Vehicle_Type_Fuel_Rating * Global_Gas))
 
	Branch_Effect = 0.5+(0.25*((Branch_Staff_Value*0.0125) + (Branch_Sales_Resources*0.0125)))
 
	if(Vehicle_Unit_Costs != 0)
	{	Quality_To_Price_Ratio = (0.9 + 
            (Car_Sales_Price/(Vehicle_Unit_Costs*(3.0+3*(Car_Quality_Rating/5.0)))))
	}
	else
		Quality_To_Price_Ratio = 1
 
 
	if(Car_Top_Speed < Minimum_Top_Speed && Minimum_Top_Speed != 0 )
		Top_Speed_Mod = Car_Top_Speed / Minimum_Top_Speed
	else
		Top_Speed_Mod = 1
 
 
        Vehicle_Type_Max_Money = City_CAP*moneyBoost*((Vehicle_Type_WealthIndex/50.0)+1)
 
 
        priceIndex = Car_Sales_Price/(1+Vehicle_Type_Max_Money)
 
        if(Vehicle_Type_WealthIndex > 6 AND priceIndex < 5)
        {
            priceIndex = priceIndex + (5-priceIndex)
        }
        else
        {
            priceIndex = priceIndex - (0.001 * priceIndex)
        }
 
        if(year > 1945 AND Vehicle_Type_WealthIndex != 0)
        {
            priceIndex = priceIndex + ( ( priceIndex / Vehicle_Type_WealthIndex ) / 2.0)
        }
 
 
	Wealth_Demographic =  (0.005 - ((priceIndex-4.0-(0.1*Vehicle_Type_WealthIndex)) * 0.00002))
 
	if(Vehicle_Type_WealthIndex > 5 &&  priceIndex < 25)
	     Ultrawealthy_VehicleType_Quality = Random Number Between 0 and (Car_Quality_Rating/20)
	else
	     Ultrawealthy_VehicleType_Quality = 0
 
	if( Sales Price is signicantly lower than material costs )
	  Sold_At_Branch = 1000000
	else
	{
        if(Sum_Of_BuyerRatings+Used_Cars_BuyerRating != 0)
        {
            Sold_At_Branch = 0.5 + 
                (((People * ((Car_BuyerRating)/((Sum_Of_BuyerRatings+Used_Cars_BuyerRating)))) *
         		( (Random Number Between 0 and 0.2) + 0.9)) * Branch_Effect)
        }
        else
        {
            Sold_At_Branch = 0.5 + People * 
                ((Random Number Between 0 and 0.2) + 0.9) * Branch_Effect
        }
 
        Sold_At_Branch = Sold_At_Branch *  Wealth_Demographic
 
        if(year > 1995)
            Sold_At_Branch = Sold_At_Branch + People * 0.003
        else if(year > 1945 && year < 1995)
            Sold_At_Branch = Sold_At_Branch + People * (0.001 + (0.00004*(year-1945)))
        else
            Sold_At_Branch = Sold_At_Branch + People * 0.001
 
        if(Sold_At_Branch < 3 && People > 50 &&  Wealth_Demographic > 0.01)
        {
            if(Car_BuyerRating > Max_Rating_For_Type_In_City * 0.6)
            {
                if( (Car_BuyerRating / Max_Rating_For_Type_In_City) > 0.98)
                    Sold_At_Branch = Sold_At_Branch + 3
                else if( (Car_BuyerRating / Max_Rating_For_Type_In_City) > 0.8)
                    Sold_At_Branch = Sold_At_Branch + 2
                else
                    Sold_At_Branch = Sold_At_Branch + 1
            }
 
        }
 
 
        if(Collective_Age > 10)
        Sold_At_Branch = Sold_At_Branch / ((Collective_Age/6.0)+1)
 
 
        Sold_At_Branch = Sold_At_Branch / Quality_To_Price_Ratio
 
        if(Car_BuyerRating/Sum_Of_BuyerRatings > 0.1)
        {
                if(Random number between 0 and 2 = 0)
                    Sold_At_Branch = Sold_At_Branch + 1
        }
 
 
        Sold_At_Branch = Sold_At_Branch * Top_Speed_Mod
 
        Sold_At_Branch = Sold_At_Branch * overPriced
 
        if(Hard_Difficulty_Sales_Mod > 0 AND Not_A_Player_Company)
                Sold_At_Branch = Sold_At_Branch * hardDifficultySalesMod
 
        if(Sold_At_Branch <0)
                Sold_At_Branch = 0
 
        if(boycottPlayer)
            Sold_At_Branch = Sold_At_Branch * (0.75 + Random Number Between 0 and 0.10)
 
 
 
 
 
	}
}