การประยุกต์ใช้แบบจำลองสถานการณ์ในการหารูปแบบการเปิดสัญญาณไฟจราจร

Abstract

At the moment, there is an uneven traffic flow. It frequently triggers traffic issues. As a result, this research examines and analyzes traffic signal patterns. Factors impacting traffic signal at Chiang Mai University's Faculty of Business Administration junction are included. Green light length and waiting time are two variables that influence traftic signals. And the results of the study showed that the traffic signal on the 30-second main route, the 15-second secondary route, was constantly opening. This resulted in car waiting times of 34.46 and 36.31 seconds on main routes, motorcycle waiting times of 36.38 and 41.91 seconds, and secondary route car waiting times of 105.00 and 110.64 seconds, motorcycle waiting times of 115.55 and 104.72 seconds. This is the amount of time that passers-by are willing to wait for the traffic signal. Since it is only in the scope of waiting for one round of trafic signals. And the efiects of using the conditional model for automated traffic signal adjustment, recalculating the green light phase based on the current scenario, where the 4-phase. This allows you to compare the shorter wait times for each route. Routes A and C are the primary routes. Waiting times for cars decreased by 21.35 percent and 22.13 percent, respectively, and for motorcycles by 22.32 and 24.80 percent, respectively, along with the secondary routes of Route B and D. Waiting times for cars decreased by 45.12 percent and 46.37 percent, respectively, while bikes decreased by 47.52 percent and 45.10 percent.