| Title |
A Study on the Introduction of Bus Priority Signal using Deep Learning in BRT Section |
| Authors |
임창식(Lim, Chang-Sik) ; 최양원(Choi, Yang-Won) |
| DOI |
https://doi.org/10.12652/Ksce.2020.40.1.0059 |
| Keywords |
딥러닝;스마트교차로;간선급행버스체계;버스우선신호 Deep learning;Smart intersection;BRT (Bus Rapid Transit);Bus priority signal |
| Abstract |
In this study, a suitable algorithm for each BRT stop type is presented through the network construction and algorithm design effect analysis through the LISA, a traffic signal program, for the BRT stop type in the BRT Design Guidelines, Ministry of Land, Transport and Maritime Affairs, 2010.6. It was. The phase insert technique is the most effective method for the stop before passing the intersection, the early green technique for the stop after the intersection, and the extend green technique for the mid-block type stop. The extension green technique is used only because it consists of BRT vehicles, general vehicles and pedestrians. Analyzed. After passing through the intersection, the stop was analyzed as 56.4 seconds for the total crossing time and 29.8 seconds for the delay time. In the mid-block type stop, the total travel time of the intersection was 40.5 seconds, the delay time was 9.6 seconds, the average travel time of up and down BRT was 70.2 seconds, the delay time was 14.0 seconds, and the number of passages was 29. |