Dominant Trends in Vehicle Tracking Technology The rapid growth of vehicle tracking system business is quite inspiring and evident all over the world. Most vehicles in North America and Europe have started using the system and there is indeed an effective growth in Asian markets as well. According to a recent market study‚ it was found that there is an estimated growth of $30.45 billion by 2018‚ at a Compound Annual Growth Rate of 22.8%. Key driving forces for adopting vehicle tracking system to
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credit of up to $7500 for qualified plug-in electric drive vehicles. * Received $465 million loan from the U.S. Department of Energy in June 2009. (C 47) * U.S. government supported investments of $1.3 billion in hydrogen-powered-vehicle research. (C 41) It is obvious that government is willing to encourage both to apply green technology on auto industry and to increase consumption by add tax credit for electric drive vehicles. 2. Economic Factors * Economic crisis 2008. *
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------------------------------------------------- Terminology Many different terms are commonly used to describe vehicle collisions. The World Health Organization use the term road traffic injury‚[1] while the U.S. Census Bureau uses the term motor vehicle accidents (MVA)[2] and Transport Canada uses the term "motor vehicle traffic collision" (MVTC).[3] Other terms that are commonly used include auto accident‚ car accident‚ car crash‚ car smash‚ car wreck‚ motor vehicle collision (MVC)‚ personal injury collision (PIC)‚ road accident‚ road
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automakers touting this level of performance. In 2010‚ look for GM’s Volt and Nissan’s Leaf‚ but there will also be offerings from unknown startups such as V-Vehicle‚ a California-based electric car company backed by billionaire T. Boone Pickens. These automobiles range from hybrids—a combination of gas and electric—to all-electric vehicles. This level of performance comes at a high price‚ however. Although consumers will receive an expected $7‚500 tax credit for purchasing one of these cars‚ the
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TABLE OF CONTENTS CHAPTER NAME PAGE NO. * INTRODUCTION 3 * SYSTEM OVERVIEW 4 * BLOCK DIAGRAM
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1.4 Transportation Vehicles and Metrics The most repeated formula for UDC in the typical medium size city is to have a fleet of about 5 small vehicles and a larger one for the heaviest deliveries. As an example Gerardin (2007) has recorded the following fleets for some French UDCs 1. In La Rochelle‚ 6 electric vehicles with capacity for 1‚300 pounds and one 3.5t electric truck. 2. In Monaco‚ 6 small vans (including one electric) and a 7.5-ton truck. 3. In Paris (La Petite Reine)‚ the fleet consists
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Speaker: The speaker is Ashley Halsey III and Michael Laris‚ from Washington Post‚ Occassion: “Google says it has driven more than 2 million miles on public roads to test its vehicles.” Early 2015‚ Google has gotten closer to finish their final idea. In the near future time‚ many cars are going able to drive on their own without human control. This reflects our present day society because many people are scared to drive like me‚ and it can be beneficial for blind people to use the Google car‚
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RentalCover.com- Cover for Rental Vehicles A lot of people worldwide rent cars many a times and later repent it‚ since sometimes‚ they have to pay for its theft if so happens or a lot other things. Keeping this scenario in mind‚ the great minds behind rentalcover.com came up with the said website to lessen the burden on the minds of people who frequently rent cars. This effort took birth 6 years ago and acted as a special provider of excess cover for rental vehicles. And within no time‚ people witnessed
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Semi Autonomous and Autonomous vehicles will slowly take over our world. We have Tesla and Google as the leaders in this race for the development for such technology. It is meant to help our future with our safety‚ climate‚ money and commute. It will for sure benefit our safety when we have better drivers as computer leading our highways and streets in our urban and rural areas across the nation and the whole wide world. The climate will have a taste of positive change for once when there is less
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Online vehicle Sales purchase System: Saddam Ahsan Roll No 6782 Irfan Jahanzeb Roll No 6778 M. Azeem Roll No 6785 1.Table of Contents Y 1.0. Introduction 1 1.1. Purpose 1 1.2. Scope of Project 1 1.3. Glossary 2 1.4. References 2 1.5. Overview of Document 2 2.0. Overall Description 4 2.1 System Environment 4 2.2 Functional Requirements Specification 5 2.2.1 online user Use Case 5 Use case: car model 5 Use case: select a city……………………………………………………………………………………………………….5 Use case:
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