Traffic and Transportation StudiesAmerican Society of Civil Engineers, 1998 - Communication and traffic |
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Page 265
... algorithm incorporating genetic algorithms ( DAGA ) is presented to solve an ANEP . The main advantage of using genetic algorithms ( GAS ) is that the ANEP may be reformulated and solved in a manner that is computationally more ...
... algorithm incorporating genetic algorithms ( DAGA ) is presented to solve an ANEP . The main advantage of using genetic algorithms ( GAS ) is that the ANEP may be reformulated and solved in a manner that is computationally more ...
Page 506
... algorithm genetic algorithm . This method can reduce 97 % or more of the CPU time when the simulated optimization results are not greater than 10 % of that of the original . The new algorithm not only improves the practicality a lot but ...
... algorithm genetic algorithm . This method can reduce 97 % or more of the CPU time when the simulated optimization results are not greater than 10 % of that of the original . The new algorithm not only improves the practicality a lot but ...
Page 729
... Genetic Algorithms in Search , Optimization and Machine Learning . Reading , MA , Addison Wesley . 6. Grefenstette , J.J ( 1986 ) Optimization of Control Parameters for Genetic Algorithms . IEEE S.M.C. 16 ( 1 ) , 122-128 . 7. John , J.A ...
... Genetic Algorithms in Search , Optimization and Machine Learning . Reading , MA , Addison Wesley . 6. Grefenstette , J.J ( 1986 ) Optimization of Control Parameters for Genetic Algorithms . IEEE S.M.C. 16 ( 1 ) , 122-128 . 7. John , J.A ...
Contents
Methodologies for the Identification of Highway Safety Problem Areas | 1 |
Travel Time Prediction System TIPS for Freeway Work Zones | 20 |
Positive Roles and Issues | 30 |
Copyright | |
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AASHTO algorithm analysis application average Beijing calculated capacity Castle Peak Road China Chinese cities congestion constraints construction crash counts data warehouse database delay departure distance distribution dynamic traffic economic emission Engineering equilibrium evaluation expressway factors Figure forecasting freight function guided bus headway highway increase intersection interval iteration logistics method mode choice neural network node Northern Jiaotong University optimal paper parameters parking passenger trains path pedestrian problem public transport queue rail railway transport refrigerated container road route RTWG Shanghai signal simulation solution solve Southwest Jiaotong University speed speed-increasing Spoornet stage structure subgrade Table track traffic assignment model traffic flow traffic volume train operation transit transportation planning Transportation Research transportation system travel behavior travel cost travel demand trip truck urban transportation variables vehicle Xiamen