Bezier Search Differential Evolution algorithm based estimation models of delay parameter k for signalized intersections
Yükleniyor...
Dosyalar
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wiley
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This article presents a new methodology for estimating delay parameter k, and proposes analytical models which are used artificial intelligence technique for signalized intersections that considers the variation in traffic flow with under-saturated and over-saturated conditions. The delay parameter k has been expressed as a function of the degree of saturation in the proposed analytical models. Using the Bezier Search Differential Evolution algorithm (BeSD) algorithm, four different model forms were developed separately for under-saturated conditions (x <1) and over-saturated conditions (x > =1). Among the model forms developed as linear, quadratic, power, and logarithmic, the quadratic model presented the best results in both traffic conditions. In the validation of the models, a total of 140 different traffic conditions were determined, 56 of which cover the under-saturated and 84 the over-saturated traffic conditions. According to the statistical results, using k values depending on the proposed model instead of using a constant k value (0.5) provides 1.5 and 4.3 improvements for RMSE and MAPE values in under-saturated traffic conditions respectively, while these improvements in over-saturated traffic conditions have reached 9.5 and 6, respectively. As a result, using k values depending on the proposed model will be effective in obtaining a more accurate delay value. This effect is more evident, especially in over-saturated traffic conditions.
Açıklama
Anahtar Kelimeler
Bezier Search Differential Evolution algorithm; degree of saturation; delay parameter k; signalized intersections
Kaynak
Concurrency and Computation-Practice & Experience
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
34
Sayı
13
