Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 494
... interval j . Generally , for j = 1 , 0 , if departure interval j is one of the optimal interval of train i ( i = 1 , ··· , m1 , i.e. , higher grade trains ) , or for i = m + 1 , · · · , n ∞ , if departure interval j is occupied by a ...
... interval j . Generally , for j = 1 , 0 , if departure interval j is one of the optimal interval of train i ( i = 1 , ··· , m1 , i.e. , higher grade trains ) , or for i = m + 1 , · · · , n ∞ , if departure interval j is occupied by a ...
Page 700
... interval At , when we apply computer simulation to realize DTA , in fact , the time t and time t + At correspond the beginning and terminating time of simulation step . xa ( 1 ) * r = v ! * k ̧ ( 1 ) * r ( 11 ) Accordingly N , ( t ) = v ...
... interval At , when we apply computer simulation to realize DTA , in fact , the time t and time t + At correspond the beginning and terminating time of simulation step . xa ( 1 ) * r = v ! * k ̧ ( 1 ) * r ( 11 ) Accordingly N , ( t ) = v ...
Page 773
... interval have the same travel time may be refined further . Consider two vehicles enter the link respectively at the beginnings of intervals i and i + 1 and their travel times are 7 ; and 71 + 1 , respectively . Hence , they exit the ...
... interval have the same travel time may be refined further . Consider two vehicles enter the link respectively at the beginnings of intervals i and i + 1 and their travel times are 7 ; and 71 + 1 , respectively . Hence , they exit 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