Vehicle types, technologies, and driving conditions are key factors affecting emission fuel consumption. In this study, we measured the hydrocarbon (HC), carbon monoxide (CO), nitrogen oxide (NOx) factors, consumption of vehicles with a (1) carburetor (CVs), (2) multipoint injection technology three-way catalyst (MTVs), (3) technology, catalyst, exhaust gas recirculation device (MTEVs) under re...

The number of vehicles used in traffic life has reached enormous dimensions today. increase the day by causes some problems along with it; such as congestion, accidents, pollution, and safety. To overcome all these problems, convolutional neural networks (CNN) methods are one trend recent years due to their success. In this study, a new approach is proposed use power CNN low-power devices. Firs...

GPS trajectories collected from automotive telematics for insurance purposes go beyond being a collection of points on the map. They are in fact powerful data source that we can use to extract map and road network properties. While location junctions is readily available, information about traffic control element regulating intersection typically unknown. However, this would be helpful, e.g., c...

BACKGROUND The efficacy and safety of clindamycin phosphate 1.2%/tretinoin 0.025% (Clin-RA) were evaluated in three 12-week randomised studies. OBJECTIVES To perform a pooled analysis of data from these studies to evaluate Clin-RA's efficacy and safety in a larger overall population, in subgroups of adolescents and according to acne severity. MATERIALS & METHODS 4550 patients were randomise...

injuries suffered in vehicle traffic crashes are the leading cause of death among children in many countries. prevention of injuries of children in raod accidents is still a challenge. the present lecture discuss the commonly injuried body regions in children involved in motor and non-motor vehicle traffic crashes. head, ribs and lung are commonly injured body regions among children under 8 yea...

In the Swapping Problem (SP), we are given a complete graph, a set of object types and a vehicle of unit capacity. An initial state specifies the object type currently located at each vertex (at most one type per vertex). A final state describes where these object types must be repositioned. In general there exist several identical objects for a given object type, yielding multiple possible des...

The use of artificial neural networks in the domain of autonomous vehicle navigation has produced promising results. ALVINN [Pomerleau, 1991] has shown that a neural system can drive a vehicle reliably and safely on many different types of roads, ranging from paved paths to interstate highways. Even with these impressive results, several areas within the neural paradigm for autonomous road foll...

For road vehicles, knowledge of terrain types is useful in improving passenger safety and comfort. The conventional methods are susceptible to vehicle speed variations and in this paper we present a method of using Laser Measurement System (LMS) data for speed independent road type classification. Experiments were carried out with an instrumented road vehicle (CRUISE), by manually driving on a ...

There are several types of intersections such as merge-roads, diverge-roads, plus-shape intersections and two types of T-shape junctions in urban roads. When an autonomous vehicle encounters new intersections, it is crucial to recognize the types of intersections for safe navigation. In this paper, a novel intersection type recognition method is proposed for an autonomous vehicle using a multi-...