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A Modified Approach for Estimation of Passenger Car Units on Intercity Divided Multilane Highways

Srikanth S., Mehar A.

Archives of Transport

2017

Vol. 42, iss. 2

65--74

The accuracy of measured traffic flow on a roadway is highly depends on correctness of PCUs used for converting traffic volume. Field data for the present study was collected from the mid-block road sections of different divided multilane highways in India. Video graphic method was used for collecting the field data. PCUs are estimated from the available methods as given in the literature by using traffic flow data observed in the field. Present study describes a modified methodology for estimation of PCU value of subject vehicles that includes the time headway as influencing parameter. The approach used in the present study is inspired from the method of dynamic PCU estimation where a PCU is expressed as the ratio of speed ratio and area ratio of standard cars to the subject vehicle type. Unlike dynamic PCU method, this method includes time headway factor for PCU estimation. The method found more realistic and logical as it provides relatively higher values of PCUs than those obtained from dynamic PCU method. Simulation of traffic flow was also performed through microscopic simulation model VISSIM for generating congestion and for comparing estimated PCU values at the level of maximum traffic volume. The methodology adopted in this study will be extended for development of comprehensive PCU model by including more numbers of influencing factors under varying traffic and roadway conditions.

Video based vehicle counting for multilane roads

Czapla Z.

Logistyka

2014

nr 4

2709--2717

The paper presents method of vehicle counting for multilane roads uses conversion of a sequence of images into the two-level image model. The two-layer image model consists of the base pixel values layer and the difference values layer. Splitting into the layers applied predictive method with the use of a variant of delta encoding. Layout of base pixel values in the two-layer image model is in accordance with edges of objects comprised in an image. Vehicle counting is carried through the analysis of the state of detection fields in the time. The presented method is fast and computationally simple and can by applied to vehicle counting on multilane roads.

Opracowanie przedstawia metodę zliczania pojazdów na drogach wielopasmowych przy użyciu konwersji sekwencji obrazów do modelu dwuwarstwowego. Dwuwarstwowy model obrazu składa się z warstwy wartości bazowych pikseli oraz warstwy wartości różnicowych. Podział na warstwy przeprowadzany jest predykcyjnie, przy użyciu zmodyfikowanego kodowania delta. Rozkład pikseli bazowych w dwuwarstwowym modelu obrazu odpowiada krawędziom obiektów zawartych w obrazie. Zliczanie pojazdów jest przeprowadzane na podstawie analizy stanu pól detekcji w funkcji czasu. Przedstawiona metoda jest szybka oraz prosta obliczeniowo i może być stosowana do zliczania pojazdów na drogach wielopasmowych.