Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 324
... Constraints ( 2 ) are a collection of flow balance constraints , which modeling the flow of each commodity kЄK on links . We associate with each node ie ( I , D ) a number representing its supply / demand . If ¿ > 0 , node i is a supply ...
... Constraints ( 2 ) are a collection of flow balance constraints , which modeling the flow of each commodity kЄK on links . We associate with each node ie ( I , D ) a number representing its supply / demand . If ¿ > 0 , node i is a supply ...
Page 546
... constraints For nodes of original stations ( rail yards ) , Σx11 = fi SEL is iel For arrival nodes of intermediate ... constraints ΣX is sms s e La iel ( 4 ) ( 5 ) Constraint ( 5 ) shows the limitation of maximum weight or cars ' number ...
... constraints For nodes of original stations ( rail yards ) , Σx11 = fi SEL is iel For arrival nodes of intermediate ... constraints ΣX is sms s e La iel ( 4 ) ( 5 ) Constraint ( 5 ) shows the limitation of maximum weight or cars ' number ...
Page 623
... constraints ensure that all cars reach their destinations and all flow run on tree - type paths . The second constraints are balance equations . The third constraints are arc capacity restrictions . To enforce the pure strategy constraints ...
... constraints ensure that all cars reach their destinations and all flow run on tree - type paths . The second constraints are balance equations . The third constraints are arc capacity restrictions . To enforce the pure strategy constraints ...
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