Modeling and Optimization of Traffic Flow in Urban Areas - Czech ...

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78 Indexphase, 3offset, 3, 53split, 3, 12, 53placesupplied, 20queue model, 6approximate, 6complete, 6extended, 7satisfiability of boolean expression, 48scheduling algorithm, 40list, 67work-flow, 42scheduling problem classification, 40scheduling with communication delay,59set of tasks, see tasksetsource transition, see transition,sourcespeedtransition, see transition, speedvehicle, 26split, see phase, splitstate vector, 6switching time, 13enabledstrongly, 20weakly, 20source, 31speed, 20common, 27maximal, 22, 27unit vehiclelength, 27waiting time, 6mean value, 7minimize, 12task, 37taskset, 37TORSCHE, 35traffic region model, 55traffic stream model, 1, 3, 19macroscopic, 19microscopic, 19transitiondelay, 27
Curriculum VitaeMichal Kutil was born in Kutná Hora, Czech Republic, in 1980. He receivedthe his master’s degree in Electrical Engineering from the Czech TechnicalUniversity (CTU) in Prague in 2004. From 2004 he was a Ph.D. student atthe Czech Technical University and from 2005 he has had the position of a fulltime researcher at the Center for Applied Cybernetics at CTU. His researchinterests include scheduling and urban traffic flow modeling and control.His teaching activities at CTU cover courses on Introduction to control,Control Systems, Systems and control, Distributed Control Systemsand Industrial Informatics and Internet. He has supervised several students’projects and diploma theses.Michal Kutil completed a three-month stay at Lund University, Departmentof Automatic Control (Sweden) where he worked on a simple intersectionmodel control.Research results of Michal Kutil have been presented at prestigious internationalconferences and workshops including the 11th IFAC Symposium onControl in Transportation Systems in Delft (Netherlands), 12th IFAC Symposiumon Control in Transportation in California (USA), 17th IFAC WorldCongress in Seoul (Korea), etc.79
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Czech Technical University in Pragu
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This thesis is dedicated to my wife
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Nomenclatureα|β|γ Graham and B̷
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NomenclatureviiR 0+ set of non-nega
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AbbreviationsCCPN Constant speed Co
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Goals and ObjectivesThis thesis wil
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ContentsGoals and Objectivesxi1 Int
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List of Tables2.1 Traffic data for
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Chapter 1IntroductionThe urban traf
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1.1 Related Work 3Traffic stream mo
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Chapter 2Simple Light ControledInte
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2.2 Extended Queue Model 72 E( k)AB
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2.2 Extended Queue Model 9E [s]4000
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2.4 Control of The Simple Intersect
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Chapter 3General Light ControlledIn
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3.2 Continuous Petri Net 21take the
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3.2 Continuous Petri Net 23v 5V 5vD
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3.3 Light Controlled Intersection M
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Page 47 and 48: 3.3 Light Controlled Intersection M
Page 49 and 50: 3.4 Performance Evaluation 31-1V[uv
Page 51 and 52: 3.4 Performance Evaluation 33-1V [u
Page 53 and 54: Chapter 4TORSCHE SchedulingToolbox
Page 55 and 56: 4.2 Tool Architecture and Basic Not
Page 63 and 64: 4.3 Implemented Algorithm 45tasks a
Page 65 and 66: 4.3 Implemented Algorithm 47leg 1p=
Page 67 and 68: 4.3 Implemented Algorithm 49unit j
Page 69 and 70: 4.3 Implemented Algorithm 51P 2P 1
Page 71 and 72: Chapter 5Traffic Flow OptimizationT
Page 73 and 74: 5.2 Traffic Region Model 5514 1516
Page 75 and 76: 5.3 Tasks Definition for Intersecti
Page 77 and 78: 5.4 Scheduling with Communication D
Page 79: 5.5 Summary 61Intersection 6T 2,6T
Page 82 and 83: 64 Chapter 6 Conclusionsoptimal und
Page 85 and 86: Appendix ATORSCHE AlgorithmsA.1 Sch
Page 87 and 88: Bibliography[Abou 09] K. Aboudolas,
Page 89 and 90: Bibliography 71[Febb 06] A. D. Febb
Page 91 and 92: Bibliography 73[Kwak 72]Cybernetics
Page 93: Bibliography 75[Tolb 01] C. Tolba.
Page 99 and 100: List of Author’s PublicationsPape
Page 101: List of Author’s Publications 83P
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