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.

Denna rapport beskriver det examensarbete som utförts på Calix AB under vårterminen 2013. Calix AB tillverkar värmare för bland annat batteri och kupé till fordonsindustrin. Uppdraget i detta examensarbete var att göra en omkonstruktion på BEV-heatern (Battery Electrical Vehicle) som är en batteri- och kupévärmare till el och hybridfordon. Problemet med den nuvarande konstruktionen är att den bygger på delar från äldre värmare till fordon med förbränningsmotorer, samt att konstruktionen inte är lämplig för produktion i större serier. Krav som Calix AB hade var:Integrerat ChassiMinimera tryckfallUnderlätta montering och tillverkningUppfylla standarder satta av fordonsindustrinKunna monteras ?in-line? i fordonetFör att kunna genomföra projektet var vi till en början tvungna att få kunskap om hur den befintliga BEV-heatern fungerar.

Detta examensarbete utfördes vid Uppsala universitet i samarbete med Scania CV AB. Scania Commercial Vehicle Aktiebolag, Scania CV AB, är en tillverkare av tunga lastbilar, bussar samt industri- och marinmotorer. På Scania transmission i Södertälje finns ett av företagets största och dyraste verktyg. I dragbrotschningsprocesser används dragbrotschverktyg som per styck kostar allt från 50 000kr och upp till strax över 1 miljon kronor beroende på storlek och utformning.Uppdragets syfte är att kartlägga faktorer som styr ett dragbrotschverktygs livslängd och undersöka alternativ som bidrar till att sänka dragbrotschningsprocessens kostnad per producerad artikel. Mål är att göra en beskrivning av nuvarande system och processer samt kartlägga vilka faktorer som styr dragbrotschverktygens livslängd.

Skogen i Sverige brinner idag inte alls lika ofta som tidigare. Detta har lett till att många brand-gynnade och brandberoende arter riskerar att försvinna. För att motverka detta har naturvårdsbränningar på skogsmark blivit allt vanligare under 2000-talet. Hälften av all skog i Sverige är certifierad enligt Forest Stewardship Council (FSC) vilket innebär att många stora skogsägare har ett krav att bränna en areal som motsvarar fem procent av den årliga avverkningsarealen. Flera av de större skogsföretagen har idag svårt eller delvis svårt att nå upp till detta mål.

Fascination Travsport. Jag vill attrahera fler människor till travsporten, öppna deras ögon och nå deras känslor för hästens natur. Medelpunkten är relationen mellan människa och djur. En enhet och ett mått: segern. Att ge sitt bästa för att vinna! Styrka, vilja och uthållighet i en spännande och dramatisk sport.

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 thesis is made by Carl Persson and Alejandro Saavedra for Gryaab. Gryaab is Gothenburg?s water processing plant and produces about 60 GWh biogas annually with a flow around 1150 Nm3/h. Gryaab wants to research their possibilities to become independent with electrical energy and the possibilities to enrich, upgrade biogas. The use of methane rich gases like biogas and natural gas is today low in Sweden compared to major parts of the world.

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.

In Sweden plans to build high speed railways have been around since the early 1990s and the planshave developed to be more precised since. The future Swedish high-speed rail network is supposedto consist of two lines. Götalandsbanan; from Stockholm to Gothenburg, and Europabanan fromJönköping through the Öresund Region to Hamburg.The description of the aim to build high-speed railways in Sweden has in former reports always beento achieve rapid passenger traffic between big Scandinavian cities and Europe. There are almostnothing mentioned about the possibilities of high-speed transports of cargo on these railways. Thisstudy aims to clarify the freight transport market for Götalandsbanan and Europabanan.Today there is only one transport system with high-speed freight trains.

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 aim and purpose with this essay is to identify the natural conditions of the New Orleans City region, and to establish an understanding of the disastrous event of Hurricane Katrina in August 2005. Who lived in this area and how did this event affect the outcome of the disaster?The theory is based on two Swedish human geographers Torsten Hägerstrand and Thomas Lundén, and their theories on regional geography and political geography, also regarded as ?geopolitics?. Regional and Political Geography are explained as the relation between state and territory, power over the territory and the variables that affect the relations on different levels such as; economy, culture, technology, demography and communication.The author decided to use the quantitative method in the process of research, the essay underwent an overall analyzes of the media settings, articles, written literature and documentaries. The author has been very critical to the material and data that was presented by the American authorities, media and non governmental organisations.New Orleans City?s topography is unique in the matter that the city is constructed on a delta area, the Mississippi River, Missouri and Ohio River systems are all connected in New Orleans.