Traffic and Transportation StudiesAmerican Society of Civil Engineers, 2000 - Communication and traffic |
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Page 307
... demand markets . We denote a typical supply market by i and a typical demand market by j . Let s , denote the supply associated with supply market i , d , the demand associated with demand market j . s1 = s ( t , y ) d1 = d ( t , x ) ...
... demand markets . We denote a typical supply market by i and a typical demand market by j . Let s , denote the supply associated with supply market i , d , the demand associated with demand market j . s1 = s ( t , y ) d1 = d ( t , x ) ...
Page 385
... demand forecasting method Urban ( or Regional ) external transport demand is related with many factors , such as master plan of urban development , urban socio - economic development index , national income per capita , and vehicle ...
... demand forecasting method Urban ( or Regional ) external transport demand is related with many factors , such as master plan of urban development , urban socio - economic development index , national income per capita , and vehicle ...
Page 386
... demand under the three different development scenarios , increase of passenger and freight transport demand between Zhuhai City and Macau , Hong Kong and Macau , and increase of shifting transport demand due to the construction of new ...
... demand under the three different development scenarios , increase of passenger and freight transport demand between Zhuhai City and Macau , Hong Kong and Macau , and increase of shifting transport demand due to the construction of new ...
Contents
A Review of Safety and Other Issues | 1 |
An Application | 9 |
Simulation System of Technological Process at Marshalling Station | 17 |
Copyright | |
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analysis analyze application average Beijing bus lane calculated capacity China railway Chinese choice classification yard congestion cost delay demand distance distribution drivers dynamic traffic economic effect efficient Engineering equation estimated evaluation factors Figure forecast freight transportation fuzzy genetic algorithm Guangzhou highway improve increase information system infrastructure intermodal intersection JABOTABEK Jakarta Macau matrix maximum method mode node Northern Jiaotong University objective function operation optimal out-of-gauge paper parameters pedestrian planning prediction problem programming public transport rail railway transportation road network road pricing route safety scenario signal SIMD simulation solution speed limits station structure structure gauge Table toll road traffic accident traffic assignment traffic flow traffic volume transit Transportation Research transportation system trip truck urban rail transit urban traffic users variables vehicle