Direct usage of occupancy data for multiregime speed-flow rate models
Yükleniyor...
Tarih
2023-01
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
American Society of Civil Engineers (ASCE)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Early macroscopic traffic flow models were based on observations of volume, speed, and density. The invention of traffic sensors has supplied a wealth of data for the development of more accurate macroscopic flow models. However, traffic sensors typically collect volume, speed, and occupancy data. Researchers prefer to convert occupancy to density because of the density usage in earlier models; however, for this conversion, the average length of passed vehicles must be determined. This length is frequently estimated by researchers. However, because the explanatory variable (density) is not observed but produced, this estimation weakens the model results. Considering these challenges, this research proposes a novel traffic flow modeling approach based on occupancy. The proposed method was tested in three speed-flow rate relationship regions, one of which is congested and two of which are free flow. Free flow speed, capacity, queue discharge flow, breakpoint flow rate, and optimum speed can all be determined more precisely with this method. Furthermore, the nonlinear relationship between speed and flow rate was clarified. The proposed traffic flow model is extremely useful, especially for dynamic traffic management applications, because it is based on directly gathered data such as volume, speed, and occupancy.
Açıklama
Anahtar Kelimeler
Density, Lane occupancy, Traffic flow, Traffic flow modeling, Traffic sensor, Flow control, Flow rate, Flow modelling, Flow rate modeling, Lane occupancy, Macroscopic flow, Macroscopic traffic flow model, Speed flow, Traffic sensors, Speed, Density relationship, Vehicle
Kaynak
Journal of Transportation Engineering Part A: Systems
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
149
Sayı
1
Künye
Aksoy, G. & Öğüt, K. S. (2022). Direct usage of occupancy data for multiregime speed-flow rate models. Journal of Transportation Engineering Part A: Systems, 149(1). doi:10.1061/JTEPBS.0000773
