| Title | Phase Design of Multi-Path MAXBAND Model |
| Year | 2018 |
| Degree | Master |
| School | Department of Transportation and Logistics Management National Chiao Tung University |
| Author | |
| Summary | Traffic signal control is one of the effective and low-cost methods to increase the efficiency of the intersection. The concept is that vary the signal variables such as offsets, cycle length and phase length to maximize the traffic throughput or minimize the traffic delays of synchronized intersections. MAXBAND model is a common mathematical programming of signal control researches, which solves the optimized offsets solution in order to maximize the progression bandwidth through a suite of synchronized intersections, and it is often applied in the two-way path progression problems. Yang et al.(2015) provided a multi-path progression MAXBAND model to consider the progression problems that include more than two large-volume paths, and make the model able to optimize the phase sequences. Huang (2017) improve the research which mentioned above by enable the multi-path progression MAXBAND model with phase length optimize and cycle length optimize to make the model can find a better solution. This research will revise the multi-path MAXBAND model by search the optimal solution without a fixed phase design. This research proposed a method to automatic planning the phase design by the discussion of common phase design. With this method, the solution space of the multi-path progression MAXBAND model can be further expanded. The research takes the network in Chubei, Hsinchu as the experimental case, and use the Gurobi Optimization to measure the ability of the model. The results shows that the model of this research can effectively improve the model by vary the phase design. Apart from this, this research provides the code programming in Gurobi C++ interface for the future researches. |
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