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

More documents

Recommendations

Info

xii
ContentsGoals and Objectivesxi1 Introduction 11.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 Outline and Contribution . . . . . . . . . . . . . . . . . . . . 42 Simple Light Controled Intersection Model 52.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 Extended Queue Model . . . . . . . . . . . . . . . . . . . . . 62.2.1 Geometrical Interpretation . . . . . . . . . . . . . . . 72.2.2 Extended Queue Model Evaluation . . . . . . . . . . . 82.2.3 Extended Queue Model Equilibrium . . . . . . . . . . 92.3 Simple Intersection Model . . . . . . . . . . . . . . . . . . . . 102.3.1 Linear model . . . . . . . . . . . . . . . . . . . . . . . 102.4 Control of The Simple Intersection Model . . . . . . . . . . . 112.4.1 Linear Quadratic Regulator . . . . . . . . . . . . . . . 122.4.2 Non-Linear Model Predictive Controller . . . . . . . . 132.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 General Light Controlled Intersection Model 193.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.2 Continuous Petri Net . . . . . . . . . . . . . . . . . . . . . . . 203.2.1 Conflict Resolution . . . . . . . . . . . . . . . . . . . . 213.2.2 Linear Programming for Conflict Resolution . . . . . . 223.3 Light Controlled Intersection Model . . . . . . . . . . . . . . 253.3.1 Continuous Petri Net Intersection Model . . . . . . . . 28xiii
Page 1 and 2: Czech Technical University in Pragu
Page 3 and 4: This thesis is dedicated to my wife
Page 5 and 6: Nomenclatureα|β|γ Graham and B̷
Page 7 and 8: NomenclatureviiR 0+ set of non-nega
Page 9 and 10: AbbreviationsCCPN Constant speed Co
Page 11: Goals and ObjectivesThis thesis wil
Page 17 and 18: List of Tables2.1 Traffic data for
Page 19 and 20: Chapter 1IntroductionThe urban traf
Page 21 and 22: 1.1 Related Work 3Traffic stream mo
Page 23 and 24: Chapter 2Simple Light ControledInte
Page 25 and 26: 2.2 Extended Queue Model 72 E( k)AB
Page 27 and 28: 2.2 Extended Queue Model 9E [s]4000
Page 29 and 30: 2.4 Control of The Simple Intersect
Page 37 and 38: Chapter 3General Light ControlledIn
Page 39 and 40: 3.2 Continuous Petri Net 21take the
Page 41 and 42: 3.2 Continuous Petri Net 23v 5V 5vD
Page 43 and 44: 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 96 and 97:
78 Indexphase, 3offset, 3, 53split,
Page 99 and 100:
List of Author’s PublicationsPape
Page 101:
List of Author’s Publications 83P
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?