Status : Verified
| Personal Name | Ramo, Felipe Jr. Z. |
|---|---|
| Resource Title | Signal timing optimization of oversaturated isolated signalized intersection considering temporal oversaturation severity index |
| Date Issued | 10 September 2020 |
| Abstract | This study focuses on the development and application of a queue-based custom signal optimization model (Q-SOM) to an isolated intersection, instead of the conventional volume-based control model, in managing traffic at oversaturated condition. The key parameter to this traffic control model is Temporal Oversaturation Severity Index (TOSI) developed by Wu, et al. 2010, which is characterized by a residual queue at the end of a cycle. The traffic signals are timed such that green time wasted is minimized by reallocating these from unsaturated phases to serve oversaturated ones, reducing residual queue. Furthermore, the algorithm can address changing oversaturation conditions. The Q-SOM algorithm is applied to a calibrated and validated PTV Vissim microsimulation model to evaluate its effectiveness using the following MoEs: intersection throughput, average stop delay, total network travel time, average speed, and average delay. Sensitivity analysis is also conducted by increasing input volume by increments to determine the extent of effectiveness of Q-SOM models. Depending on the constraints and configurations applied to the algorithm, Q-SOM can significantly improve performance of MoEs compared to a prevailing un-optimized fixed signal timing control, as well as optimized signal control using critical movement analysis (CMA) method. |
| Degree Course | Master of Science in Civil Engineering |
| Language | English |
| Keyword | Temporal Oversaturation Severity Index; traffic signal optimization; traffic microsimulation; Q-SOM |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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Category : I - Has patentable or registrable invention of creation.
Access Permission : Limited Access