Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 179
... function as derived from Stouffer's intervening opportunity model . Research has been completed on fitting mathematical functions to the shape of the preference functions , and in contrasting exponential models with quadratic models ...
... function as derived from Stouffer's intervening opportunity model . Research has been completed on fitting mathematical functions to the shape of the preference functions , and in contrasting exponential models with quadratic models ...
Page 180
... function bounded by the X - axis and the ordinate X = 1 and estimating the parameters of the preference function using regression analysis . Curve fitting of the raw preference function is transformed as follows using a logarithm function ...
... function bounded by the X - axis and the ordinate X = 1 and estimating the parameters of the preference function using regression analysis . Curve fitting of the raw preference function is transformed as follows using a logarithm function ...
Page 500
... function . Function fp , ( ( X ) ) is used to represent the preference function associated with fuzzy set , ( X ) . See Figure 2 , the function fp ( g ( x ) ) takes the form ( 8¡ ( X ) +38 ;. fpi ( ği ( X ) ) = g1 ( X ) -38 , where g ...
... function . Function fp , ( ( X ) ) is used to represent the preference function associated with fuzzy set , ( X ) . See Figure 2 , the function fp ( g ( x ) ) takes the form ( 8¡ ( X ) +38 ;. fpi ( ği ( X ) ) = g1 ( X ) -38 , where g ...
Contents
How Do We Make New Public Transport Systems More Successful? | 1 |
Study of Traffic Environment Awareness Among Elementary Schoolers in Japan | 9 |
Modeling Vehicle Age Distribution for Air Quality Analysis | 17 |
Copyright | |
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algorithm analysis arrival average behavior Beijing calculated carrying capacity China classification yards computing congestion constraints cost demand density departure depot destination distance distribution drivers dynamic emission environmental equation equilibrium estimated factors Figure forecasting freeway function fuzzy genetic algorithm headway high-speed household hypermarket increase interval km/h layer managed lanes method mode choice neural networks node non-work trips Northern Jiaotong University operation optimal order parameter pair paper path peak period planning pollution port problem public transport queue rail ramp meters ratio region removing coefficient road network route Royal Mile sample schedule Shenyang Shenzhen simulation SP data speed limits speed-raising passenger trains station survey Table Tianjin track traffic flow traffic volume Tramlink transit transportation system travel behavior truck urban urban rail transit users vanets variables vehicle warehousing yard zone