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IT Services for Transportation in Volkswagen

Paper Type: Free Essay Subject: Information Technology
Wordcount: 2530 words Published: 23rd Sep 2019

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Summary

As there is a rapid development in Automotive industries the number of cars moving on road is increasing exponentially. Upcoming technologies need to untie for this sector to get efficient result. Use of IT services in coordination with automobile industry will help to increase productivity and output. This essay will highlight combine use of IT service like quantum computing in transportation by the leading automotive organisation Volkswagen group ltd.

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Introduction

According to recent CeBIT 2017 event held in Hannover, CIO of Volkswagen group Martin Hofmann says “Quantum computing innovation can bring huge advancement to Volkswagen regarding all the key factors like it and digitization themes. Volkswagen group recently incontestable however it had been operating with D-Wave specialist to do the analysis by using quantum computing. they discover out what the automotive maker is aiming to achieve. They anticipate a wide use of application conceivable results particularly within the ranges of independent driving, AI -supported control, automated industries, Volkswagen group planning to use the quantum computing in the various application in industries which classical computer cannot do, according to Hoffman, quantum computing could be applied in account of smart mobility to avoid the congestion in road and the traffic control can be done easily. quantum computing technology has been used primarily by scientific institutes, government agencies and within the region sector, however Volkswagen group hopes to develop commercially viable applications of the technology.

 Quantum computing

The advance computer technology based on the quantum theory is called is as Quantum computing, which is based on the nature of energy on the quantum level. Quantum physics is one of the most successful series of modern science which can describe the way we can work at the most basic level. Quantum computing is major application of the quantum physics. Quantum computer has the potential to solve one of the most complex calculations which are beyond the capacity of today’s most advance technologies is problem solving i.e. Supercomputers. Quantum computer cannot replace the traditional computer, but it can change the way of calculation which we can’t do with traditional computer. Classical computer encodes information in form of bits whereas in Quantum computer do it in form of qubits. Advancement of a quantum computer, if viable, would check a jump forward in computing capability distant more noteworthy than that from the math device to a cutting-edge day supercomputer, with execution picks up within the billion-fold domain and past. The quantum computer, taking after the laws of quantum material science.

Autonomous driving

In related to Autonomous driving a vehicle gets its input information fundamentally from visual data sources the tare moreover accessible to the driver. Within preparatory stages of independent driving, innovation improved a driver’s mindfulness by giving data that empowered him or her to arrange and respond rapidly. But when a vehicle responds independently dynamic intercession from a drive through calculations that constrain the vehicle to respond in a way but when a vehicle responds independently without dynamic intercession from a drive through calculations that constrain the vehicle to respond in a way, the system can handle all situations autonomously; there is no need for monitoring by the driver. The driver can perform non-driving tasks, driverless driving is also possible at this level.

 

Artificial Intelligence control systems

(AI) is an application of computer science that emphasizes the creation of cleverly machines that work and respond like people. artificial intelligence may be a branch of computing that aims to form intelligent machines. it’s become a vital a part of the technology trade. research related to computing is extremely technical and specialised. The core issues of computing embody programming computers for sure traits such as knowledge reasoning, ability to control objects and various industrial applications. Knowledge engineering could be a core a part of AI analysis. Machines will typically act and react like humans if they need teeming info about the planet. computer science should have access to things, categories, properties and relations between all of them to implement information engineering. Initiating good judgment, reasoning and problem-solving power in machines could be a tough and tedious task.

Machine learning is additionally a core a part of AI. Learning with none quite oversight needs a capability to spot patterns in streams of inputs, whereas learning with adequate oversight involves classification and numerical regressions. Classification determines the class associate object belongs to and regression deals with getting a group of numerical input or output examples, thereby discovering functions sectionalize the generation of appropriate outputs from various inputs. Mathematical analysis of machine learning algorithms and their performance could be a well-defined branch of theoretical engineering typically spoken as process learning theory. Machine perception deals with the potential to use sensory inputs to deduce the various aspects of the globe, whereas vision is that the power to research visual inputs with several sub-problems like facial, object and gesture recognition. Robotics is additionally a significant field associated with AI. Robots need intelligence to handle tasks like object manipulation and navigation, beside sub-problems of localization, motion coming up with and mapping.

Smart Mobility

In terms of Smart mobility quality refers to exploitation modes of transportation aboard or maybe rather than owning a gas-powered vehicle. this could battle many alternative forms, as well as ride-sharing, car-sharing, public transportation, walking, biking, and more. the requirement for good quality arose out of skyrocketing tie up and its connected facet effects, as well as pollution, fatalities, and wasted time. Smart mobility initiatives like one transport and drive good area unit serving to cities tackle a growing problem: round the world, urban transport is feeling the strain. Our way forward for highways report highlighted however pollution, congestion and ever-changing weather patterns area unit put pressure on transport networks.

In response, several cities area units selecting to choose smarter transportation quality and way. Lots of different technologies –like e-payments for tolls, buses and trains can benefit passengers and operators effectively, smart mobility solutions have been designed to help reduce pollution, reduce congestion and create seamless, efficient travel experiences for users. Multiple modes of transportation enable travellers to decide on which of them work best for a given scenario. The trip gets the human to their destination with marginal disruption and in as very little time as attainable the total route is planned door-to-door, no matter that modes of transportation area unit used. the transportation moves far from pollution-causing vehicles to zero-emission ones, and fatalities and injuries area unit drastically reduced.

Recent IT history of the company

Volkswagen Group has created a vision for the long run of urban quality. To do so, it’s return up with a good array of various solutions, every of that enhances succeeding. during this vision, the globe of transport is one giant network wherever all transport users square measure unbroken up-to-date the least bit times. Automatic driving systems and most use of all modes of transport facilitate to extend potency. what is more the accumulated integration of transport and supply helps to scale back the number of journeys created. in comparison to the present, these (and other) solutions can improve traffic conditions for all road users and conjointly raise living standards for everybody living in cities. yet as providing a very important impetus for our work, this vision conjointly acts as a platform for discussion with interested members of the general public and people with knowledgeable interest.

Volkswagen’s understanding of developments in traffic and quality systems is important.

One example of a key international trend is that the increasing degree of urbanisation. An ever-growing variety of individuals sleep in cities, which means that house is at a premium in urban areas, significantly for traffic. we tend to desperately would like solutions to create quality in our cities additional economical, safer, and additional environmentally-friendly. Volkswagen was the first car manufacturer to use a quantum computer to calculate traffic flows. traffic flow optimization is done by the scientists. Using data from 10,000 taxis in Beijing, they programmed an algorithm to optimize the travel time of taxis in the city, On the idea of this forecast, they need to calculate however every individual automobile must be routed to avoid intersection before it even forms. this is often an extremely complicated calculation involving billions of information data.

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Autonomous Intersection Management (AIM) may be a new intersection management protocol that exploits autonomous vehicles’ extraordinary capabilities of management, sensing, and communication to form traffic management at intersections far more economical than ancient management mechanisms like traffic signals and stop signs. This video illustrates the principle behind this new control protocol and demonstrates its potential victimization Marvin, the autonomous vehicle developed later.

CIO’s views and strategies

According to Martin Hoffman, the use of quantum computing will bring massive progress during this space, and the computing power obtainable is significantly suited to finding specific issues like optimization problems. They are currently working on the start that specialize in the acquisition of specialist information. the target is to form effective use of the strengths of a quantum computer.

Using the D-Waves quantum computer Volkswagen scientist first tried to optimize the traffic flow in Beijing, and Volkswagen team successfully developed and tested a traffic flow optimisation algorithm.

it is still too early to speak regarding the probabilities of the business activity of quantum computing at Volkswagen group they are at the start that specialize in the acquisition of specialist data. the target is to create effective use of the strengths of a quantum computer.

Their Specialists Have Already with Success Developed and Tested A Traffic Flow Optimization Algorithmic Rule and Their Strategic Cooperation With D-Wave Is Incredibly Valuable, As Our Current Focus Is on the Any Development Of Specialist Experience And Significantly Meaningful Applications, In Simplified Terms, Associate Degree Optimization Drawback Considers However A Selected Resource Like Time Energy Will Be Employed In The Simplest Doable Manner During A Bound State Of Affairs. The Quality of The Task, And Thus the Computing Capability Needed Exponential Growth. Running Optimization Algorithms Once There Are A Unit Large Numbers of Variables Will Quickly Overpower Typical Computers, Pushing Them on The Far Side Their Limits.

Missing Issues and Future work

The presently given drawback may be a simplified version of traffic flow, because it incorporates solely a restricted set of cars, no communication to infrastructure, no alternative traffic participants, and no alternative optimisation targets except minimisation of road congestion. In our future work, we tend to will think about all of those parameters and can additionally ought to think about inventive ways in which of formulating these parameters as a part of the QUBO drawback. we are going to still concentrate on finding real-world issues by suggests that of quantum machine learning, quantum simulation, and quantum optimisation. moreover, we discover that these forms of period optimisation issues are well-suited for the D-Wave systems and therefore the hybrid tools that use them. The additional combinatorically advanced the matter becomes, the longer would be required for classical algorithms to think about extra parameters. However, D-Wave quantum computer have traditionally full-grown in variety of qubits from one generation to subsequent, and if this trend is probably going to continue, it’s cheap to assume that getting high-quality solutions quickly victimisation the quantum computer is going to be property moving forward. we tend to expect that in future generations of quantum computer, we are going to be able to introduce larger issues directly. this may enable us to any leverage the performance of the quantum computer

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