Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 373
... ( SP ) data . When the models are estimated from RP and SP data , in our methodology , it is assumed that there is not only a serial correlation between RP and SP data but also the state dependence that represents personal habit . Such ...
... ( SP ) data . When the models are estimated from RP and SP data , in our methodology , it is assumed that there is not only a serial correlation between RP and SP data but also the state dependence that represents personal habit . Such ...
Page 374
... SP data . Furthermore , measured and included components of the model may be represented by a linear additive function . Then , stationary random utility functions from RP and SP data can be expressed in the following linear forms : RP ...
... SP data . Furthermore , measured and included components of the model may be represented by a linear additive function . Then , stationary random utility functions from RP and SP data can be expressed in the following linear forms : RP ...
Page 379
... SP data but also sate dependence . Model 3 is estimated from SP data and systematic parts of RP model are estimated from 138 samples of RP data . Each coefficient of state dependence is significant , but the coefficient of commuting ...
... SP data but also sate dependence . Model 3 is estimated from SP data and systematic parts of RP model are estimated from 138 samples of RP data . Each coefficient of state dependence is significant , but the coefficient of commuting ...
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