The Robust and reliable traffic information detection from images acquired by traffic surveillance system is an important problem with numerous applications including adaptive traffic signal control system and traffic analysis system. This paper describes an application of computer vision techniques to traffic surveillance. The objective in this paper is to improve the efficiency of traffic flo...

In this paper we introduce a newmechanism of metastability of under-saturated traffic at the signal that is responsible for a time-delayed traffic breakdown revealed by Kerner (2011). In our model, we assume that the metastability of under-saturated traffic at the signal is caused by a dependence of the mean time of driver acceleration from a queue at the signal on the driver’s stopped time wit...

We analyze extremes of traffic flow profiles composed counts over a day. The data is essentially curves and determining which trajectory should be classified as extreme not straight forward. To assess the in coherent way, we use directional definition extremeness apply dimension reduction technique called principal component analysis (PCA) an asymmetric norm. In classical PCA one reduces dimens...