Development of Correlation Degree Model between Adjacent Signal Intersections for Subarea Partition
Yiming Bie, Dianhai Wang, Qiang Wei, Dongfang Ma · 2011
The correlation degree model between adjacent signal intersections is the most important component of subarea partition algorithms. In this article, factors that affect partition are classified into static factors and dynamic factors. We mainly focus on the two dynamic factors, which are cycle length and platoon length. The cycle length correlation model is established by considering the cycle length difference between seed intersection and non-seed intersection. Then by adopting platoon dispersion and the ratio of platoon length to phase green time, the platoon correlation model is developed to depict the benefits of signal coordination control. Based on the two above models, an integrated correlation model is developed to quantify the correlation degree of adjacent intersections. At last, Chang's model, which is a representative achievement in subarea partition cited by the Traffic Control Systems Handbook, is compared with our model by way of examples. The results show that our model outperforms Chang's model in depicting correlation degree between intersections. This research can provide theoretical support for subarea partition and signal control.