We know that increasing fuel consumption, high environmental pollution and time wasting are the visible results of high traffic density. Developing new directions or even highways is alternative way to solve this problem. It may add several junctions. Therefore junction controlling is very important, because their usual operation will cause problem if they remain without control. This not only ...

Positioning a node in Vehicular Ad-Hoc networks is one of the most interested research areas in recent years. In many Ad-Hoc networks such as Vehicular Ad-Hoc networks in which the nodes are considered as vehicles, move very fast in streets and highways. So, to have a safe and fast transport system, any vehicle should know where a traffic problem such as a broken vehicle occurs. GPS is one of t...

<p>This work discusses the study and development of a graphical interface implementation machine learning model for vehicle traffic injury fatality prediction specified date range certain zip (US postal) code based on New York City's (NYC) crash data set. While previous studies focused accident causes, little insight has been offered into how such may be utilized to forecast future incide...

BACKGROUND An elevated risk of lung cancer in truck drivers has been attributed to diesel exhaust exposure. Interpretation of these studies specifically implicating diesel exhaust as a carcinogen has been limited because of limited exposure measurements and lack of work records relating job title to exposure-related job duties. OBJECTIVES We established a large retrospective cohort of truckin...

Concern for environmental issues has become a reality in all sectors of society, mainly among researchers and professionals who work directly with environmental status. In this context, several studies have been undertaken on sustainable development of the Brazilian Amazon, generating a large amount of data and information. Environmental area characterization involves the knowledge about their ...

This paper describes a method for detecting and recognizing road signs in gray-level and color images acquired by a single camera mounted on a moving vehicle. The method works in three stages. First, the search for the road sign is reduced to a suitable region of the image by using some a priori knowledge on the scene or color clues (when available). Secondly, a geometrical analysis of the edge...

Normally visual surveillance systems are based on background subtraction to detect foreground objects and then conduct multiple objects tracking with data association and tracking filters in an open-loop procedure. Different from the state-of-the-art approaches, this paper discusses a closed-loop object detection and tracking method. In our proposed method, each pixel is first modeled with an a...

When a traffic management system involves many thousands of vehicles using hundreds of streets and highways, it can be difficult or impossible to tell whether the network is flowing smoothly and to predict how modifications to dynamic control parameters will affect the system. For large-scale traffic management problems it is both necessary and difficult to assess the current state of the syste...