Creating and moving transactions - Queues and facilities - scheduling Standard numerical – attributes Parameters and savevalues - Functions - Priority - Preemption - Collection of – statistics - Report preparation. Internal logic of GPSS processor - Program control statements. UNIT III Applications of GPSS Simple queuing problems - Inventory problems - Simulation of ports - Railway platforms and level crossings - Traffic signals. Analysis of simulation results - Model validation - Replication of random conditions - Time series analysis. UNIT IV Genetic Algorithm Terminology in GA Strings, Structure, Parameters string - Data Structures Operators - – – Algorithm Application in Transportation. Fuzzy Logic. – UNIT V Artificial Neural Networks Basics of ANN Topology - Learning Processes - Supervised and unsupervised learning. – mean square algorithm, Back propagation algorithm - Applications. REFERENCES: 1. Gordon, G., System Simulation, Prentice-Hall of 2005 2. GPSS/PC, User Manual, Minuteman Software, USA, 2005 3. David E. Goldberg, Genetic Algorithms in Search, Optimisation and Machine Learning, Addison-Wesley, 1989 4. J.M. Zurada, .Introduction to artificial neural systems.,Jaico Publishers, 2006
Creating and moving transactions - Queues and facilities - scheduling – Standard numerical attributes – Parameters and savevalues - Functions - Priority - Preemption - Collection of statistics - Report preparation. Internal logic of GPSS processor - Program control statements. UNIT III Applications of GPSS Simple queuing problems - Inventory problems - Simulation of ports - Railway platforms and level crossings - Traffic signals. Analysis of simulation results - Model validation - Replication of random conditions - Time series analysis. UNIT IV Genetic Algorithm Terminology in GA – Strings, Structure, Parameters string - Data Structures – Operators - Algorithm – Application in Transportation. Fuzzy Logic. UNIT V Artificial Neural Networks Basics of ANN – Topology - Learning Processes - Supervised and unsupervised learning. mean square algorithm, Back propagation algorithm - Applications. REFERENCES: 1. Gordon, G., System Simulation, Prentice-Hall of 2005 2. GPSS/PC, User Manual, Minuteman Software, USA, 2005 3. David E. Goldberg, Genetic Algorithms in Search, Optimisation and Machine Learning, Addison-Wesley, 1989 4. J.M. Zurada, .Introduction to artificial neural systems.,Jaico Publishers, 2006
Transportation-Engineering.docx