Os sistemas de transporte público por ônibus têm sido cada vez mais relevantes para o desenvolvimento das cidades. Técnicas para melhorar o planejamento e o controle da operação diária dos serviços de ônibus apresentaram melhorias significativas ao longo dos anos, e a previsão do tempo de viagem desempenha um importante papel no planejamento e nas estratégias da operação diária. A antecipação dos tempos de viagem ajuda os planejadores e controladores a evitar os vários problemas que surgem durante a operação diária da linha de ônibus. Ela também permite manter os usuários informados para que eles possam planejar com antecedência a sua viagem. Vários estudos relacionados à previsão do tempo de viagem podem ser encontrados na literatura. Devido a sua dificuldade intrínseca, o problema foi abordado por diferentes técnicas. Resultados numéricos de estudos demonstram o potencial uso de redes neurais em relação a outras técnicas. No entanto, a literatura não apresenta aplicações que incorporem uma retroalimentação das informações contidas em séries temporais, como é feito por redes neuronais recorrentes. A maioria dos estudos na literatura tem sido realizada com dados de cidades específicas e com linhas de ônibus com paradas fixas. A situação que surge em linhas de ônibus sem paradas fixas operadas com micro-ônibus apresenta uma dinâmica diferente dos estudos de caso da literatura Além disso, os estudos existentes não usam o gráfico de marcha como um instrumento de apoio para a previsão do tempo de viagem em ônibus. Nesta tese, estuda-se o problema da previsão do tempo de viagem para linhas de micro-ônibus sem paradas fixas, utilizando as informações básicas do gráfico de marcha. O modelo proposto é baseado em redes neurais recorrentes. Os dados de entrada incluem: (i) a hora de início da viagem do ônibus, (ii) sua posição atual em coordenadas GPS, (iii) o tempo atual e (iv) a distância percorrida após um minuto. As redes são treinadas com dados de uma linha de micro-ônibus da cidade de Porto Alegre, Brasil. Os dados correspondem ao ano de 2015. Os modelos fornecem previsões para a distância percorrida minuto a minuto e para uma janela de tempo de 30 minutos. O modelo desenvolvido foi treinado com um conjunto abrangente de dados de dias úteis, incluindo períodos de pico e fora de pico. Os dados de treinamento não desconsideraram informações de qualquer dia devido à ocorrência de eventos especiais. Concluiu-se que os modelos de redes neurais recorrentes desenvolvidos são capazes de absorver a dinâmica do movimento dos micro-ônibus. A informação produzida apresenta um nível adequado de precisão a ser utilizado para informar os usuários. Também é adequada para planejadores e controladores da operação, pois pode ajudar a identificar situações problemáticas em janelas de tempo futuras. / Public transport systems by bus have been increasingly relevant for the development of cities. Techniques to improve planning and control of daily operation of bus services presented significant improvements along the years, and travel time forecast plays an important hole in both planning and daily operation strategies. Travel times anticipation helps planners and controllers to anticipate the various issues that arise during the daily bus line operation. It also allows keeping users informed, so they can plan in advance for their trip. Several studies related to travel time prediction can be found in the literature. Due to its intrinsic difficulty, the problem has been addressed by different techniques. Numerical results from studies demonstrate the potential use of neural networks in relation to other techniques. However, the literature does not present applications that incorporate a feedback of the information contained in time series as it is done by recurrent neural networks. Most of the studies in the literature have been conducted with data from specific cities and buses lines with fixed stops. The situation that arises in bus lines without fixed stops operated with microbuses present a different dynamics from the literature case studies. In addition, existing studies do not use time-space trajectories as a supporting instrument for bus travel time prediction. In this thesis we study the problem of travel time prediction for microbus lines without fixed stops using the basic information of the time-space trajectories The proposed model is based on recurrent neural networks. The input data includes: (i) the start time of the bus trip, (ii) its current position in GPS coordinates, (iii) the current time and (iv) distance travelled after one minute. The networks are trained with data from a microbus line from the city of Porto Alegre, Brazil. Data corresponds to the year 2015. The model provide forecasts for distance travelled minute by minute, and for a time window of 30 minutes. The developed models were trained with a comprehensive set of data from working days including peak and off-peak periods. The training data did not disregard information from any day due to occurrence of special events. It was concluded that the recurrent neural network model developed is capable of absorbing the dynamics of the microbuses movement. The information produced present an adequate level of precision to be used for users information. It is also adequate for planners and operation controllers as it can help to identify problematic situations in future time windows.

This Master's thesis focuses on the spatial mobility of secondary school students and the way they spend their leisure time. Rychnov nad Kněžnou town and its surrounding is chosen for the empirical study. The topic of the thesis connects several disciplines especially geography, sociology and psychology in the theoretical part. Special attention is given to the Time Geography and the explanation of the concept of leisure time in the teen-agers's life. The research on the students from different types of secondary schools in Rychnov nad Kněžnou is the main part of the thesis where the method of questionnaire and diary is used. The objective of the survey is to explore daily activities of teen-agers in the time and space. Questions are focused especially on the way the respondents spend their leisure time. Stated activities are compared with the supply of leisure services in the region. The attention in the survey is also paid to the missing leisure services.

Between 1969 and 1980 Edvard Radzinskii wrote three ‘historico-political’ plays which were later published as a trilogy entitled ‘Theatre of the Times …’. This thesis attempts to unravel the nature of time in the trilogy and invokes Mikhail Bakhtin’s notion about the forms of time and the chronotope in literary narratives to do that. Bakhtinian concept of the chronotope provides a suitable strategy for reading a trilogy that aims to re-present ‘real’ time, place and human beings. The concept also provides a vantage point from where the trilogy can be read both from within the time-space of its main protagonists and from that of its author, readers, performers and spectators. ¶ Both ‘Dialogues with Socrates' and 'Lunin …’ are structured around the chronotope of the prison which is associated with the chronotope of the acropolis in ‘Dialogues with Socrates’ and with the chronotope of the masked-ball in ‘Lunin …’. In ‘Theatre of the Times of Nero and Seneca’ the circus-theatre functions as the main chronotope. All these chronotopes serve as plot-constitutive devices and provide appropriate space in which the lives and times of the main protagonists can be adequately re-presented. However, the use of the concept of the chronotope in reading the trilogy does not imply that it can be read meaningfully only from within the time-space of its protagonists. The trilogy reconstructs the historical time-space but also engages in a substantial way with contemporary Soviet reality. This is achieved through an interaction between literary and real chronotopes. There is little doubt that most Soviet readers, performers and spectators negotiatied the chronotopes of the prison and the circus-theatre and the motifs of show-trial and execution from within their own time-space, their own historical experience. The thesis discusses a large number of reviews published in Soviet media to show that most critics read the trilogy from within the discourses about positive hero and socialist realism, because of which Socrates and Lunin were also turned into positive heroes. ¶ One of the most intriguing aspect of the three plays is the ‘play within a play’ structure which achieves its maximum potential in the final play of the trilogy where it is combined with the theme of metamorphoses and multiple role playing. The trilogy, like Pirandello’s trilogy about theatre, is able to foreground its own theatricality and explore the role of theatricality and role playing in and outside theatre. In ‘Theatre of the Times of Nero and Seneca’ the boundary between role playing in life and in theatre becomes so blurred that history begins to resemble the writing and staging of a play. ¶ Apart from exploring the nature of theatricality, the trilogy also questions the conventions of its genre. The three plays do not follow the conventional framing devices employed by dramatic texts and foreground the presence of a mediating narrator. This ‘novelisation’, is more evident in ‘Lunin …’ in which the frequent use of verbs in the past tense in the extra-dialogic text can be linked to the presence of a mediating narrator.

Os sistemas de transporte público por ônibus têm sido cada vez mais relevantes para o desenvolvimento das cidades. Técnicas para melhorar o planejamento e o controle da operação diária dos serviços de ônibus apresentaram melhorias significativas ao longo dos anos, e a previsão do tempo de viagem desempenha um importante papel no planejamento e nas estratégias da operação diária. A antecipação dos tempos de viagem ajuda os planejadores e controladores a evitar os vários problemas que surgem durante a operação diária da linha de ônibus. Ela também permite manter os usuários informados para que eles possam planejar com antecedência a sua viagem. Vários estudos relacionados à previsão do tempo de viagem podem ser encontrados na literatura. Devido a sua dificuldade intrínseca, o problema foi abordado por diferentes técnicas. Resultados numéricos de estudos demonstram o potencial uso de redes neurais em relação a outras técnicas. No entanto, a literatura não apresenta aplicações que incorporem uma retroalimentação das informações contidas em séries temporais, como é feito por redes neuronais recorrentes. A maioria dos estudos na literatura tem sido realizada com dados de cidades específicas e com linhas de ônibus com paradas fixas. A situação que surge em linhas de ônibus sem paradas fixas operadas com micro-ônibus apresenta uma dinâmica diferente dos estudos de caso da literatura Além disso, os estudos existentes não usam o gráfico de marcha como um instrumento de apoio para a previsão do tempo de viagem em ônibus. Nesta tese, estuda-se o problema da previsão do tempo de viagem para linhas de micro-ônibus sem paradas fixas, utilizando as informações básicas do gráfico de marcha. O modelo proposto é baseado em redes neurais recorrentes. Os dados de entrada incluem: (i) a hora de início da viagem do ônibus, (ii) sua posição atual em coordenadas GPS, (iii) o tempo atual e (iv) a distância percorrida após um minuto. As redes são treinadas com dados de uma linha de micro-ônibus da cidade de Porto Alegre, Brasil. Os dados correspondem ao ano de 2015. Os modelos fornecem previsões para a distância percorrida minuto a minuto e para uma janela de tempo de 30 minutos. O modelo desenvolvido foi treinado com um conjunto abrangente de dados de dias úteis, incluindo períodos de pico e fora de pico. Os dados de treinamento não desconsideraram informações de qualquer dia devido à ocorrência de eventos especiais. Concluiu-se que os modelos de redes neurais recorrentes desenvolvidos são capazes de absorver a dinâmica do movimento dos micro-ônibus. A informação produzida apresenta um nível adequado de precisão a ser utilizado para informar os usuários. Também é adequada para planejadores e controladores da operação, pois pode ajudar a identificar situações problemáticas em janelas de tempo futuras. / Public transport systems by bus have been increasingly relevant for the development of cities. Techniques to improve planning and control of daily operation of bus services presented significant improvements along the years, and travel time forecast plays an important hole in both planning and daily operation strategies. Travel times anticipation helps planners and controllers to anticipate the various issues that arise during the daily bus line operation. It also allows keeping users informed, so they can plan in advance for their trip. Several studies related to travel time prediction can be found in the literature. Due to its intrinsic difficulty, the problem has been addressed by different techniques. Numerical results from studies demonstrate the potential use of neural networks in relation to other techniques. However, the literature does not present applications that incorporate a feedback of the information contained in time series as it is done by recurrent neural networks. Most of the studies in the literature have been conducted with data from specific cities and buses lines with fixed stops. The situation that arises in bus lines without fixed stops operated with microbuses present a different dynamics from the literature case studies. In addition, existing studies do not use time-space trajectories as a supporting instrument for bus travel time prediction. In this thesis we study the problem of travel time prediction for microbus lines without fixed stops using the basic information of the time-space trajectories The proposed model is based on recurrent neural networks. The input data includes: (i) the start time of the bus trip, (ii) its current position in GPS coordinates, (iii) the current time and (iv) distance travelled after one minute. The networks are trained with data from a microbus line from the city of Porto Alegre, Brazil. Data corresponds to the year 2015. The model provide forecasts for distance travelled minute by minute, and for a time window of 30 minutes. The developed models were trained with a comprehensive set of data from working days including peak and off-peak periods. The training data did not disregard information from any day due to occurrence of special events. It was concluded that the recurrent neural network model developed is capable of absorbing the dynamics of the microbuses movement. The information produced present an adequate level of precision to be used for users information. It is also adequate for planners and operation controllers as it can help to identify problematic situations in future time windows.

Os sistemas de transporte público por ônibus têm sido cada vez mais relevantes para o desenvolvimento das cidades. Técnicas para melhorar o planejamento e o controle da operação diária dos serviços de ônibus apresentaram melhorias significativas ao longo dos anos, e a previsão do tempo de viagem desempenha um importante papel no planejamento e nas estratégias da operação diária. A antecipação dos tempos de viagem ajuda os planejadores e controladores a evitar os vários problemas que surgem durante a operação diária da linha de ônibus. Ela também permite manter os usuários informados para que eles possam planejar com antecedência a sua viagem. Vários estudos relacionados à previsão do tempo de viagem podem ser encontrados na literatura. Devido a sua dificuldade intrínseca, o problema foi abordado por diferentes técnicas. Resultados numéricos de estudos demonstram o potencial uso de redes neurais em relação a outras técnicas. No entanto, a literatura não apresenta aplicações que incorporem uma retroalimentação das informações contidas em séries temporais, como é feito por redes neuronais recorrentes. A maioria dos estudos na literatura tem sido realizada com dados de cidades específicas e com linhas de ônibus com paradas fixas. A situação que surge em linhas de ônibus sem paradas fixas operadas com micro-ônibus apresenta uma dinâmica diferente dos estudos de caso da literatura Além disso, os estudos existentes não usam o gráfico de marcha como um instrumento de apoio para a previsão do tempo de viagem em ônibus. Nesta tese, estuda-se o problema da previsão do tempo de viagem para linhas de micro-ônibus sem paradas fixas, utilizando as informações básicas do gráfico de marcha. O modelo proposto é baseado em redes neurais recorrentes. Os dados de entrada incluem: (i) a hora de início da viagem do ônibus, (ii) sua posição atual em coordenadas GPS, (iii) o tempo atual e (iv) a distância percorrida após um minuto. As redes são treinadas com dados de uma linha de micro-ônibus da cidade de Porto Alegre, Brasil. Os dados correspondem ao ano de 2015. Os modelos fornecem previsões para a distância percorrida minuto a minuto e para uma janela de tempo de 30 minutos. O modelo desenvolvido foi treinado com um conjunto abrangente de dados de dias úteis, incluindo períodos de pico e fora de pico. Os dados de treinamento não desconsideraram informações de qualquer dia devido à ocorrência de eventos especiais. Concluiu-se que os modelos de redes neurais recorrentes desenvolvidos são capazes de absorver a dinâmica do movimento dos micro-ônibus. A informação produzida apresenta um nível adequado de precisão a ser utilizado para informar os usuários. Também é adequada para planejadores e controladores da operação, pois pode ajudar a identificar situações problemáticas em janelas de tempo futuras. / Public transport systems by bus have been increasingly relevant for the development of cities. Techniques to improve planning and control of daily operation of bus services presented significant improvements along the years, and travel time forecast plays an important hole in both planning and daily operation strategies. Travel times anticipation helps planners and controllers to anticipate the various issues that arise during the daily bus line operation. It also allows keeping users informed, so they can plan in advance for their trip. Several studies related to travel time prediction can be found in the literature. Due to its intrinsic difficulty, the problem has been addressed by different techniques. Numerical results from studies demonstrate the potential use of neural networks in relation to other techniques. However, the literature does not present applications that incorporate a feedback of the information contained in time series as it is done by recurrent neural networks. Most of the studies in the literature have been conducted with data from specific cities and buses lines with fixed stops. The situation that arises in bus lines without fixed stops operated with microbuses present a different dynamics from the literature case studies. In addition, existing studies do not use time-space trajectories as a supporting instrument for bus travel time prediction. In this thesis we study the problem of travel time prediction for microbus lines without fixed stops using the basic information of the time-space trajectories The proposed model is based on recurrent neural networks. The input data includes: (i) the start time of the bus trip, (ii) its current position in GPS coordinates, (iii) the current time and (iv) distance travelled after one minute. The networks are trained with data from a microbus line from the city of Porto Alegre, Brazil. Data corresponds to the year 2015. The model provide forecasts for distance travelled minute by minute, and for a time window of 30 minutes. The developed models were trained with a comprehensive set of data from working days including peak and off-peak periods. The training data did not disregard information from any day due to occurrence of special events. It was concluded that the recurrent neural network model developed is capable of absorbing the dynamics of the microbuses movement. The information produced present an adequate level of precision to be used for users information. It is also adequate for planners and operation controllers as it can help to identify problematic situations in future time windows.

nÃo hà / A experiÃncia urbana de espaÃo e de tempo na literatura do escritor Caio Fernando Abreu à o objeto de estudo dessa dissertaÃÃo. As experiÃncias subjetivas gestadas na cultura de consumo em que vivemos deflagram modos de pensar, agir, sentir e amar articulados Ãs percepÃÃes de tempo e espaÃo do sujeito contemporÃneo. Nomadismo, errÃncia, solidÃo, narcisismo e impulsividade sÃo algumas das caracterÃsticas deste sujeito. O tempo à mais acelerado e o espaÃo mais compactado de modo que a velocidade forÃada a que somos submetidos nos leva Ãs psicopatologias contemporÃneas tÃpicas do ritmo de vida das grandes cidades. As formas de sociabilidade contemporÃneas ganham laÃos mais tÃnues, tendo em vista que a cultura hoje enfatiza valores como a descartabilidade, o presente imediato, a emergÃncia, o imediatismo das aÃÃes e a compulsÃo. A percepÃÃo, a atenÃÃo e a memÃria sÃo transformadas num contexto histÃrico-cultural e individual-coletivo, de tal maneira que a interpretaÃÃo da realidade e a consciÃncia que o sujeito tem do mundo sofre significativas transformaÃÃes. A literatura de Caio Fernando Abreu apresenta as diferentes faces dos processos de subjetivaÃÃo contemporÃneos em personagens, enredos e cenÃrios figurativos da experiÃncia urbana globalizada, lanÃando um olhar particularmente revelador de tais condiÃÃes no contexto brasileiro. Com efeito, seus contos, romances e seu epistolÃrio desvelam uma crÃtica social profunda à cultura contemporÃnea na tematizaÃÃo do espectro de situaÃÃes nefastas em que està mergulhado o indivÃduo no final do sÃculo XX. De modo mais incisivo, seus textos pensam as peculiaridades da experiÃncia do brasileiro contemporÃneo ligadas, entre outros fatores, à inserÃÃo perifÃrica do paÃs ao capitalismo, aos rumos da polÃtica nacional desde a ditadura militar e Ãs vivÃncias mais subjetivas em termos de valores, utopias, visÃes de vida e de arte para o escritor e para sua geraÃÃo. O resultado à uma literatura que guarda traÃos da âcontraculturaâ e do âpÃs-modernismoâ, tanto em termos temÃticos como nas formas de narrar. / This essay discusses contemporary urban experience as presented in the fiction of Brazilian Writer Caio Fernando Abreu (1948-1996) with special attention to his imagery of time and space. The experience of individuals living in a consumer society produces particular modes of thought, action, feeling and loving which are related to contemporary perceptions of time and space. Errantry, loneliness, narcissism and impulsivity are some of the psychological features of postmodern subjectivity. Accelerated time and compact space developed/emerged specially in the second half of twentieth century along with new technologies of communication and transport seem connected to the new psychopathologies observed in typical contemporary urban life. Todayâs social patterns gain fragile ties due to the reinforcement of values like dischargeability, emphasis on immediate present time and compulsion. Perception, attention and memory have changed according to substantial transformations in the historical and cultural context of late capitalism and these changes also occur on the levels of individual and collective conscience and interpretation of reality. Abreuâs literature present the various faces of contemporary processes of production of subjectivity in characters, plots and scenarios which represent global urban experience, with particular focus on Brazilian context and conditions of modernization. In fact his short-stories, novels and personal letters reveal deep social criticism to grievous situations in which individuals at the end of the century find themselves. Particularly his texts reflect on the singularities of Brazilian globalization experience which involve broad aspects broad aspects like the peripherical insertion of the nation in capitalism and some political paths that led to military dictatorship, as well as more intimate and subjective experiences figured in terms of values, dreams, fears, points of view of life and art shared by the writer and his generation. The result is a literature that reveals traits of countercultural and postmodernist tendencies in its themes and forms of narration.

This thesis is an exploration of gendered daily mobilities amongst local women in Rosengård since the inauguration of the new train station and railway service into the district. Implementing a feminist, qualitative and explorative approach to mobilities, the research poses three principal questions: how women are using public transport in their daily mobilities; what restrictions they are facing in these mobilities; and finally, the extent to which the new Rosengård train station is working towards social cohesion in Malmö. Integrating a theoretical framework of mobility justice with the methodological praxis of time-space geography, the research conducts in-depth travel itinerary diaries with five participating women which are subsequently visualised through a feminist application of qualitative GIS. What results is an examination and visualisation of the participants’ relationships with diverse mobilities throughout Malmö, and ultimately the heavy dependencies these women have on the public transport system to pursue activities and opportunities as part of a happy, fulfilling life. A critical application of space-time geography theory is illustrated within three critical considerations of gendered daily mobilities: temporal, spatial, and those relating to wider concerns of social exclusion. To quote Törsten Hägerstrand (1970), these considerations together formulate an intricate “net of constraints” that capture the life paths of women in their daily mobilities. Ultimately, the research suggests that Station Rosengård has yet to radically expand the mobility opportunities of women in the district, and thus its objective of regional social cohesion – and a step towards reducing wider inequity in public health - in the form of heightened connectivity has been challenged and problematised.

This degree project aims to find solutions to prevent construction process from delay by detecting and resolving work-space congestions and time-space conflicts based on 4D-modeling. The purpose is to improve the work efficiency on the construction site of a hospital project. Through a software experiment, the proposed solutions will be tested to see if the conflicts on the construction site can be resolved or minimized. This is achieved by following the construction phase of the NKS project from Skanska AB. The largest hospital project in Sweden. The theoretical framework focuses on the concepts of 4D, work-space congestions, time-space conflicts, lean construction, last planner system, project organization as well as reviewing a variety of literature regarding how to resolve the conflicts during the construction process. The useful data and information have been gathered through semi-structured interviews with project managers and workforce. The obser-vations have been done on-site. Followed by 4D software experiment, by associating the tasks to the different areas through LBS with the time constraint data, the effi-ciency of work based on the quantity takeoff can be evaluated and thus it allows pro-ject managers to foresee the potential conflicts easily. Eventually, applying 4D - modeling helps the planners visualize the inefficiencies in the schedule and thus re-schedule the tasks before they lead to delays. / Syftet med detta examensarbete är att finna lösningar för att förhindra konstruktions-processen från förseningar genom att upptäcka och lösa arbetsplatsstörningar samt tids- och utrymmeskonflikter baserat på 4D-modelering. Målet är att effektivisera arbetet på byggarbetsplatsen för ett sjukhusprojekt. Genom simuleringar kommer föreslagna lösningar, för att undvika konflikter på arbetsplatsen, att prövas för att få bukt med eller minimera dessa konflikter. Detta uppnås genom att följa byggnadsfasen av NKS-projektet från Skanska AB. Sveriges största sjukhuspro-jekt. Den teoretiska referensramen fokuserar på begreppen: 4D, arbetsutrymmesbelast-ning, tids- och platskonflikt, lean construction, last planner-systemet, projektorgani-sation samt granskning av litteratur som handlar om konfliktlösning under byggpro-cessen. Användbara data och information har samlats in via semistrukturerade inter-vjuer med projektledare och byggnadsarbetare. Observationer har gjorts på plats. Följt av 4D-simulering, genom att sammankoppla uppgifter till de olika områdena ge-nom LBS med tidsrestriktionsdata, kan effektiviteten av arbete som bygger på mängdavtagning utvärderas. Det tillåter projektledare att utan svårighet förutse po-tentiella konflikter. Så småningom kan tillämpningen av 4D-modellering hjälpa plane-rare att visualisera ineffektiviteter i tidsplanen och därmed planera om arbetsuppgif-terna innan de leder till förseningar.

The preschool is often looked upon as an institution for the parents and guardians, with an aim to influence the children. If we change the perspective, from the adult to the child´s perspective, we might find that the preschool with its places and activities is created by the children who live their everyday lives there. Through an ethnographic study, consisting of observations, I examined how the children in a preschool, ages three to five, enter a specific place in a certain time during the preschool day – a so-called time space. This time space is an occasion for waiting on each other and waiting for a new activity to start - a small crack in the preschool structure. In what way can children´s agency be expressed in this small time space? To find the answer to my question I observed the social interactions of the children, with a perspective of childhood sociology and Corsaro´s (2014) theories of peer cultures, interpretive reproduction, and sharing and controlling as a starting point and as a tool for my analysis. The results show that children constantly seek to gain control of their lives through different strategies of getting themselves in and out of interaction and activities. They create their own space within the time space and during this study they clearly influence the meaning of the time space by re-creating and creating new routines and meaning. Through their peer cultures, the constant control seeking, and by just being in the room, the children can be seen as active agents by their interpretation and reproduction of the meaning of the time space. My conclusion is that children take whatever space they´re given in the preschool structure and make it their own. In this way they are active agents of the preschool.

This thesis consists of five scientific articles oriented towards capacity. Managing capacity constraints with associated delays is a big issue at new design as well as at trimming existing traffic facilities. In larger Swedish cities these challenges have become more and more important as a result of growing traffic demand due to rapid population increase.Models for estimating capacity and delay are available, but not many are calibrated for Swedish conditions due to the high effort required. This thesis documents development and calibration of new models for motorway links, entry and exit lanes and weaving areas and an developed space-time model with the ability to calculate queue length, delay, etc.The first article is focused on identifying weaknesses in the former Swedish capacity method for motorways, and development of new models overcoming these shortcomings. The development includes new models for jam density at queue, capacity in weaving areas and fundamental flow-density relationships for 15 different highway types for inclusion in the new Swedish capacity manual.The second article describes the development of a Swedish motorway space-time model to estimate travel times and queues in oversaturated conditions based on the American FREEVAL model in Highway Capacity Manual 2010 (HCM 2010). Calibration and validation of the model has been performed with data from the Motorway Control System (MCS) in Stockholm. A good correspondence was obtained for most cases, but further calibration and validation efforts are required for entry and exit lanes.The third article describes further development of the intersection model in the Swedish microscopic model “Rural Traffic Simulator (RuTSim). This is a continuation of the work documented in the author’s licentiate thesis published in 2002. The development focused on simulation of intersections using a new concept on lane use not included in the old RuTSim model. The model describes Swedish rural intersections with flared approaches providing a non-discreet lane use due to vehicle types in queue. New data for calibration and validation data was also generated. The validation results showed good correspondence between simulated and empirical delay results. The new intersection model is now implemented in RuTSim, providing new tools for estimation of capacity, delay and queue length already included in Swedish guidelines and capacity manuals/software (Capcal).The fourth article describes the development of a new capacity model for roadwork zones. Focus is on the resulting capacity of one lane due to several reduction factors. These factors include impacts of closed road shoulders, reduction of number of lanes, diversion of traffic to the opposite carriageway, commuting traffic, length of work zone, lane width and type of road work. The first two correction factors were successfully validated in a full-scale test on the E6 motorway in Gothenburg.The fifth article describes development and implementation of a new harmonization algorithm for MCS systems on motorways designed to increase bottleneck capacity and throughput. Two different models were developed, one of which was implemented in the existing MCS system on E4 Södertäljevägen south of Stockholm. Full-scale trials were carried out with a model based on trigger levels in terms of flow. The second model based on the difference in the variance of speed during two following time periods was tested offline also with very good results. / <p>QC 20160429</p>