Developing region road traffic has a unique characteristic of high heterogeneity in vehicle types. In this paper, we describe VividhaVahana1, a smartphone sensor based system to categorize road vehicles into four predominant categories: two-wheeler bikes, three-wheeler auto-rickshaws, four-wheeler cars and public transport like buses. Using a variety of sensor based features, our system is able...

Terrain physical characteristics can have a significant impact on passenger vehicle handling, ride quality, and stability. Here, an algorithm is presented to classify terrain using a single suspensionmounted accelerometer. The algorithm passes a measured acceleration signal through a dynamic vehicle model to estimate the terrain profile, and then extracts spatial frequency components of this es...

Vehicle color information is one of the important elements in ITS (Intelligent Traffic System). In this paper, we present a vehicle color recognition method using convolutional neural network (CNN). Naturally, CNN is designed to learn classification method based on shape information, but we proved that CNN can also learn classification based on color distribution. In our method, we convert the ...

We describe our approach to segmenting moving road vehicles from the color video data supplied by a stationary roadside CCTV camera and classifying those vehicles in terms of type (car, van and HGV Heavy Goods Vehicle) and dominant color. For the segmentation, we use a recursively updated Gaussian mixture model approach, with a multi-dimensional smoothing transform. We show that this transform ...

In China, the research of practical navigators is still in its initial stage and more difficult than in other countries with the large area and the complexity of its routes. At present, only several navigators are practical including the vehicle TV voice navigation system designed by us according to the concrete situation of road net in China. Based on GPS vehicle navigation, the topology formi...

Identification of vehicle types from images is a challenging task. Though several methods have been proposed, most of the works has been done in strictly controlled conditions, where the feature information was calculated on ad hoc bases. In order to achieve better performance of make and model recognition, we emphasised the importance of feature description in a principled way from a biologica...

Vehicle occupants comprise a considerable proportion of traffic crash victims in Iran. This paper has focused on vehicleoccupants’ injury severity and employed the Classification and Regression Tree (CART) technique in order toidentify the most important variables affecting the injury severity of these road users in crashes occurred on rural freewaysand multilane highways in I...

Crossing the street in front of oncoming vehicles poses serious danger to young children. But is each young pedestrian similarly at risk? The authors aimed to identify children who are particularly prone to making risky and potentially harmful crossing decisions. They used a simple game involving risk to classify 5- to 6-year-olds as risk takers or risk avoiders. Children classified as risk tak...

Three experiments with object-manipulation tasks examined the effect of object structure on 14-, 18-, and 22-month-olds' categorization. In Experiment 1, categorization of animals and vehicles was tested when object structure was normal and when it was violated by moving parts (legs or wheels) into a novel configuration. In Experiment 2, categorization of animals, vehicles, and furniture was ex...