Since the late 50th century, the automobile has been normative in the Swedish society (Lundin 2008). This has led to an urban environment deeply characterized by the motor vehicle and its necessities, while other means of transportation, such as Train and bicycle, have been ignored and put aside. However, over the past decades, a new trend has been seen in urban planning as a consequence of the increasing knowledge of the negative qualities caused by the car. As a result, the bicycle is seen as a conceivable transport mode.This thesis examines cycling on four issues:- Why is there a need of more cyclists? - How can the total number of cyclists as well as the number of satisfied cyclists increase? - Which factors affect the choice of transport mode? - Which factors affect the choice of route?The first two questions are discussed from a literature study that was conducted at the beginning of the thesis.

Since the late 50th century, the automobile has been normative in the Swedish society (Lundin 2008). This has led to an urban environment deeply characterized by the motor vehicle and its necessities, while other means of transportation, such as Train and bicycle, have been ignored and put aside. However, over the past decades, a new trend has been seen in urban planning as a consequence of the increasing knowledge of the negative qualities caused by the car. As a result, the bicycle is seen as a conceivable transport mode.This thesis examines cycling on four issues:- Why is there a need of more cyclists? - How can the total number of cyclists as well as the number of satisfied cyclists increase? - Which factors affect the choice of transport mode? - Which factors affect the choice of route?The first two questions are discussed from a literature study that was conducted at the beginning of the thesis.

Trough the analyses of three young contemporary Swedish and Norwegian poets, who all in one way or another work with the language as material, I will circulate around the term language materialism. Each poet has his or her specific distinctive feature wich makes them three completely different poets. But they are all challenging the borders of literature and even the grammatical laws of language. Apart from the analyses I sketch an historical line between the predecessors of the experiments with the poetic language in the past, starting with Mallarmé, and the experiments of today. My essay will in conclusion discuss the language poetry in a wider philosophical point of view, connected to Derrida and Wittgenstein.The first analysis introduces the author and artist Johannes Heldén through his debute poetry collection Burner.

ATC (Automatic Train Control; automatisk tågkontroll) är ett säkerhetssystem som automatiskt bromsar ner ett tåg om föraren skulle missa en hastighetsnedsättning eller en stoppsignal. Systemet ger även föraren information om när det är dags att exempelvis sänka hastigheten. Detta genom tonstötar och blinkande siffror på ATC-panelen. Många förare anser dock att det saknas väsentlig information i gränssnittet till ATC-panelen, visar rapporter från Banverket (Kecklund, 2001). Eftersom information som skulle hjälpa föraren att planera körningen framåt i tiden saknas, och föraren därmed ofta väntar på indikationer från systemet, ?kör på pipet?, kan olyckor ske där ATC-övervakningen saknas eller gått ur funktion.

How accessible is the city? Is there more factors than merely the strictly physical that affect how accessible the city is perceived? These questions are the starting point of this study. The greatest emphasis, in this study, is placed on the perceived parameters that affect us humans when we move in our cities. Experiences and internal images can change our behaviour and prevent free movement in the city. The result from this study shows that a city can not be seen as fully accessible unless both the physical and the perceived accessibility are fulfilled.

Title: Silence please: Silent students' thoughts on shyness and nervousness in the classroom. This thesis deals with silent students' thoughts on shyness and nervousness in the classroom. During this study I have been talking to silent students about their experiences of being silent. After a look at the literature on the subject of shyness I have found that there the perspective of the students is lacking. My study deals with three main questions: How do silent students describe their experience of their shyness? How do silent students describe the possible Training regarding oral presentation that they may be able to get? And finally, how do silent students describe their possible needs of pedagogical support? In my study I have adopted a qualitative method, which is a method that mainly concerns interpretation of people's thoughts.

Shopping for groceries often means that, as consumers, we travel to the grocery store ourselves, by ear, bike or on foot. At the store we pick out the groceries that we want, go the register and pay for them. During the last couple of years consumers in Sweden have been given the opportunity to let someone else select and transport the groceries to their home instead, so called home shopping. As this report is being written, the possibility to buy groceries this way is somewhat limited, but many forecasters believe that in the near future it will increase immensely. Because of the large volumes of groceries that are being transported, there is great transport work being done in the supply chain.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

This master thesis investigates the possibilities of using GPS-information from Trains to create a model of a railway system, register the routes of the the Trains and predict how the Trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the Trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-Trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the Trains were unreliable.A solution for how the samples from the Trains can be used to create a model of the railway system traveled by the Trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the Train can be used to register the routes the Trains travel.

The mouse (Mus musculus) is the most commonly used mammal in biomedical research and can easily be resTrained by both hand and by a device. ResTraining animals causes stress that not only decreases the animal?s wellbeing, but may also influence the research results. The first aim of this study was to Train mice to voluntarily stand still using positive reinforcement Training. Another benefit of teaching a mouse to stand still is that you can avoid anaesthesia for some procedures.