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BACKGROUND METHODOLOGY RESULTS OBJECTIVES CONTACT

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Presentation on theme: "BACKGROUND METHODOLOGY RESULTS OBJECTIVES CONTACT"— Presentation transcript:

1 BACKGROUND METHODOLOGY RESULTS OBJECTIVES CONTACT
Cloud-based Traffic Signals Synchronization Tool for Multiple Paths Dahai Han, Zihao Jin, Weijie Tan Faculty Advisor: Dr. Yue Liu BACKGROUND METHODOLOGY RESULTS Movement-based signal timing plan Convert phase-based signal timing plan into movement-based so that each turning flow can be presented independently. Offset optimization Common cycle length assumed Mixed integer linear programming problem Cloud deployment Open source geographic data Google Maps API Click on intersections to choose path Traffic signal control is considered as an efficient way to relief traffic congestions. Traffic signals permit conflicting streams of traffic to share the same intersection by means of time separation. However, signals may interrupt extremely heavy flows to permit the crossing of minor movements that could not otherwise move safely through an intersection. Signals synchronization, or known as green wave progression, gives the major traffic flow - typically one-way or two-way along an arterial - all green lights for a series of intersections and reduces times of stops of vehicles. Figure 5. Network layout and Pre-determined Signal Timing Plan Table 1. Optimization Results Path Weight Bandwidth(s) Intersection Offset(s) 1 0.2 6 2 0.4 4 24 3 0.1 7 37 0.5 47 5 35 48 0.3 44 38 Objective Value - 20.2 Figure 1. Signals Synchronization Figure 3. Phase-based and Movement-based Signal Timing Plan OBJECTIVES To obtain progressions on multiple paths to Maximize green band Decrease times of stops of vehicles Reduce traffic delay Prevent congestion spillback To provide a SaaS tool to Visualize green wave with different designs Test different signal timing plans Maximize weighted overall green band s. t. Figure 6. Illustration of Progression on Path 1 Figure 2. Time-space Diagram of Two-way Progression CONTACT INFORMATION Figure 4. Movement-based Progression Dahai Han Ph. D. Candidate, Teaching Assistant Department of Civil and Environmental Engineering University of Wisconsin-Milwaukee Figure 7. Illustration of More Options for Output


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