Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 645
fuzzy neural networks is suitable for describing rules of complexity and randomicity , a new model for bus line ... neural networks is fuzzy logic TRAFFIC AND TRANSPORTATION STUDIES 645.
fuzzy neural networks is suitable for describing rules of complexity and randomicity , a new model for bus line ... neural networks is fuzzy logic TRAFFIC AND TRANSPORTATION STUDIES 645.
Page 648
... neural networks Table 2 shows forecasting results of the same bus line at same time period as in Table 1 , but using the forecasting model based on fuzzy neural networks . The results fit with the fact better , and the average error is ...
... neural networks Table 2 shows forecasting results of the same bus line at same time period as in Table 1 , but using the forecasting model based on fuzzy neural networks . The results fit with the fact better , and the average error is ...
Page 721
... neural networks ” , Transpn . Res.C , Vol.5 , 287-300 . Lu , H.P. ( 1996 ) . " The review and prospect of dynamic ... neural network model for estimation of traffic congestion value on urban expressway " , China Journal of Highway and ...
... neural networks ” , Transpn . Res.C , Vol.5 , 287-300 . Lu , H.P. ( 1996 ) . " The review and prospect of dynamic ... neural network model for estimation of traffic congestion value on urban expressway " , China Journal of Highway and ...
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