Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 378
... transit constant ( 2.040 ) ( 2.156 ) ( 3.358 ) ( 2.263 ) ( 0.403 ) ( 0.396 ) mass transit constant -0.537 -0.888 ( SP dummy ) ( 2.391 ) ( 4.225 ) business type -0.266 -0.196 -0.344 0.579 0.308 0212 ( office - 1 , otherwise 0 ) ( 1.062 ) ...
... transit constant ( 2.040 ) ( 2.156 ) ( 3.358 ) ( 2.263 ) ( 0.403 ) ( 0.396 ) mass transit constant -0.537 -0.888 ( SP dummy ) ( 2.391 ) ( 4.225 ) business type -0.266 -0.196 -0.344 0.579 0.308 0212 ( office - 1 , otherwise 0 ) ( 1.062 ) ...
Page 530
... transit demand for a mixed traffic system while the maximum allowable expenditures for the transit system is given . A simple numerical example is given to illustrate the applications of the new model . Introduction The roles of ...
... transit demand for a mixed traffic system while the maximum allowable expenditures for the transit system is given . A simple numerical example is given to illustrate the applications of the new model . Introduction The roles of ...
Page 534
... transit system be x * = [ x¡ , ... , x * ] , perturbation parameters be ε = [ £ ,, ··· , £ * ] ' , i.e. characteristics of ε the transit system can be written as X = X + ɛ . We deal with the integer variables of characteristics of the ...
... transit system be x * = [ x¡ , ... , x * ] , perturbation parameters be ε = [ £ ,, ··· , £ * ] ' , i.e. characteristics of ε the transit system can be written as X = X + ɛ . We deal with the integer variables of characteristics of the ...
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