Fundamental macroscopic traffic variables (flow, density, and average speed) have been defined in twoways: classical (defined as either temporal or spatial averages) and generalized (defined as temporal-spatial averages). In the available literature, estimation of the generalized variables is still missing. This paper proposes a new efficient sequential algorithm for estimating the generalized ...

Speed and traffic volume data are collected on different sections of four lane and six lane roads in three metropolitan cities in India. Speed data are analyzed to fit the statistical distribution to individual vehicle speed data and all vehicles speed data. It is noted that speed data of individual vehicle generally follows a normal distribution but speed data of all vehicle combined at a sect...

We describe an algorithm by which an autonomous land vehicle is able to navigate along roads utilising lane boundary markings. This is achieved by defining a six-parameter model of the lane markings and fitting this to the processed monochrome image using non-linear least squares techniques. By qualitative as well as quantitative analysis over many hundreds of images the model used is shown to ...

Earlier work has found that social capital reduces traffic fatality risk (Nagler 2013a, Nagler 2013b). Recognizing that rural areas suffer from high traffic fatality levels despite a perceived high density of communal ties, we explore here whether social capital provides the same protection against traffic risks on rural roads as on urban roads, and what factors might explain differential effec...

This paper describes the concepts of capacity and Level Service two-lane roads. The also includes an overview different methodologies for analyisis Two-lane road, such as HCM 2010, 2015, HBS 2001, 2015 procedure developed in Republic Serbia. In addition to themselves, differences between them are presented, which is emphasized through a comparative analysis procedures typical test examples, sho...

Driver’s emotion is a psychological reaction to environmental stimulus. Driver intention an internal state of mind, which directs the actions in next moment during driving. Emotions usually have strong influence on behavioral intentions. Therefore, important factor that should be considered, accurately identify driver’s intention. This study used support vector machine (SVM) theory develop driv...