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

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68 Appendix A List of TORSCHE AlgorithmsA.2 Graph AlgorithmsalgorithmMinimum spanning treeDijkstra’s algorithmFloyd’s algorithmTarjan’s algorithmMinimum Cost FlowCritical Circuit RatioHamilton circuitChristofidesMWPMMulticommodity flowAll pathK shortest pathCommodity flowGraph coloringQuadratic Assignment ProblemcommandspanningtreedijkstrafloydtarjanmincostflowcriticalcircuitratiohamiltoncircuitchristofidesmwpmmulticommodityflowallpathxbestpathcommodityflowgraphcoloringqapA.3 Other Optimization AlgorithmsalgorithmKnapsack problemKnapsack problem graphcommandknapsackknapsack_graph
Bibliography[Abou 09] K. Aboudolas, M. Papageorgiou, and E. Kosmatopoulos. “Storeand-forwardbased methods for the signal control problem inlarge-scale congested urban road networks”. Transportation ResearchPart C: Emerging Technologies, Vol. 17, No. 2, pp. 163 –174, 2009. Selected papers from the Sixth Triennial Symposiumon Transportation Analysis (TRISTAN VI).[Ande 05] M. Andersson, D. Henriksson, and A. Cervin. TrueTime 1.3–Reference Manual. Department of Automatic Control, Lund University,Sweden, Lund University, Sweden, 2005.http://www.control.lth.se/truetime/.[Andr 03] M. Andresen, H. Bräsel, F. Engelhardt, and F. Werner. LiSA - ALibrary of Scheduling Algortihms. Otto-von-Guericke-UniversitätMagdeburg, 2003. http://lisa.math.uni-magdeburg.de/.[Astr 97]K. J. Åström and B. Wittenmark. Computer-Controlled Systems:Theory and Design. Prentice Hall, November 20 1997.[Blaz 83] J. B̷lażewicz, J. Lenstra, and A. R. Kan. “Scheduling subjectto resource constraints. Classification and complexity”. DiscreteApplied Mathematics, Vol. 5, No. 5, pp. 11–24, 1983.[Bonn 95] J. A. Bonneson and P. T. Mccoy. “Average duration and performanceof actuated signal phases”. Transportation Research PartA: Policy and Practice, Vol. 29, No. 6, pp. 429 – 443, 1995.[Boyd 04] S. Boyd and L. Vandenberghe. Convex Optimization. CambridgeUniversity Press, New York, NY, USA, March 2004.69
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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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Page 35 and 36: 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: Appendix ATORSCHE AlgorithmsA.1 Sch
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
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