The aim of my thesis is to describe financing of work capital in company JIP -- Papírny Větřní, a.s. by tolling and factoring. In theoretical part will be presented different methods of financing, like internal and external sources. The specific example of financing of work capital in the company will be described in a practical part with some chosen ways mentioned in theoretical part. Based on the facts will be analyzed the advantages and disadvantages for company JIP -- Papírny Větřní, a.s. and its investor. There will be done also the analysis of impacts on cash flow of the company.

This thesis concerns development of a communication strategy in Eastern Europe, particularly Bulgaria, as a model country, in the area of international tolling, more precisely road user charging system offered by Satellic. In this strategy the promotion mix tools such as advertising, personal selling, PR, public affairs, events and conferences are applied. A concrete target group, the key message, the goal, the message strategy and the budget are created in each of the above noted promotion mix tools.

The South African government has decided to introduce an extensive toll road system in the Gauteng Province, to fund the road upgrades in the Gauteng Freeway Improvement Project (GFIP). This research report assesses the effectiveness of this funding strategy by analysing the social, economic and environmental impact of the GFIP toll road. The user pay principle is also interrogated to assess the fairness of the toll tariffs to be levied on different user groups. This study has found that the GFIP investment was an unstrategic investment in transport infrastructure. It is proposed that an integrated multi-modal transport strategy is developed, that prioritises the development of the railway system for freight cargo and public transport. As freight vehicles cause more than 99% of roads damage, it is proposed that toll tariffs are only applied to freight vehicles, to lessen the negative social impact of tolling. It is proposed that an independent transport regulator and a consumer council are established, to protect consumer interests, to ensure the independent review of toll tariffs, and to review future public-funded transport investments.

Thesis (MDF) -- Stellenbosch University, 2011. / ENGLISH ABSTRACT: The aim of this research report is to analyse the feasibility of Open Road Tolling (ORT) and its development in South Africa through the Gauteng Freeway Improvement Project (GFIP). ORT represents the next generation of Electronic Toll Collection (ETC) and this research report will assess to what extent the GFIP scheme is in line with other comparable tolling schemes; and is the institutional environment amenable to ORT. This will allow one to gauge the feasibility of the scheme and its potential for acceptability and success. The research report outlines the number of risks that come with an ORT scheme and these include amongst others collection risk, enforcement, technology, privacy and public acceptance. The success of the GFIP will largely be determined by how well these risks are mitigated and how the benefits can be marketed to the users. The literature review illustrates that whether road pricing schemes have failed to move forward, have been implemented, are currently under development, or still in the planning stage as a concept there are several consistent lessons and critical success factors one should apply when structuring a scheme. In the discussions with stakeholders, the following conclusions with regards to the feasibility of ORT and its development in South Africa were as follows: - The factors which need to be addressed include political risk, effective marketing of the scheme to the public, obtaining political will and support, building trust between the scheme developer and the user, managing perceptions and acknowledgement of the fact that the scheme will need to prove itself over time. - Inadequate demonstration - Incorporating interoperability yields benefits in terms in terms of network externalities, the ability to use a single transponder for multiple tolling plazas and points, along with the potential for alternative uses for the transponder. - ORT as a viable solution for the GFIP is feasible from a technical point in that it’s the only way in which one can collect tolls from a high volume network and not cause disruptions in the flow of traffic. However, there are a number of persistent residual risks that SANRAL cannot entirely mitigate and some fall under the realm of political risk. - While SANRAL has applied best practice principles in structuring the GFIP with the aim of providing value for money for the user and as far as possible tackling the issue of affordability, there are certain realities, such as the recent global financial crisis, the infrastructure backlog of the country, users paying for roads which were free and challenges with overall service delivery which place a strain on the legitimacy of the GFIP ORT scheme.

The South African government has decided to introduce an extensive toll road system in the Gauteng Province, to fund the road upgrades in the Gauteng Freeway Improvement Project (GFIP). This research report assesses the effectiveness of this funding strategy by analysing the social, economic and environmental impact of the GFIP toll road. The user pay principle is also interrogated to assess the fairness of the toll tariffs to be levied on different user groups. This study has found that the GFIP investment was an unstrategic investment in transport infrastructure. It is proposed that an integrated multi-modal transport strategy is developed, that prioritises the development of the railway system for freight cargo and public transport. As freight vehicles cause more than 99% of roads damage, it is proposed that toll tariffs are only applied to freight vehicles, to lessen the negative social impact of tolling. It is proposed that an independent transport regulator and a consumer council are established, to protect consumer interests, to ensure the independent review of toll tariffs, and to review future public-funded transport investments.

The thesis summarizes the information and tools for the crisis management including the tools of timely warning against non-standard situations in company. It points out the most common causes of crises and their possible solutions.

Stereo camera systems can be utilized for different applications such as position estimation,distance measuring, and 3d modelling. However, this requires the cameras to be calibrated.This paper proposes a traditional calibration solution with Aruco-markers mounted on avehicle to estimate the pose of a stereo camera system in a tolling environment. Our method isbased on Perspective N Point which presumes the intrinsic matrix to be already known. Thegoal is to find each camera’s pose by identifying the marker corners in pixel coordinates aswell as in world coordinates. Our tests show a worst-case error of 21.5 cm and a potential forcentimetre accuracy. It also verifies validity by testing the obtained pose estimation live in thecamera system. The paper concludes that the method has potential for higher accuracy notobtained in our experiment due to several factors. Further work would focus on enlarging themarkers and widening the distance between the markers.

M.A. (Public Management and Governance) / The South African road system is managed by the South African National Roads Agency Limited (SANRAL), which is an agency under the Department of Transport. The main aim of SANRAL is to connect major cities, towns and emerging villages. It has undertaken a project of upgrading and expanding of the road network in the Gauteng Province of South Africa, known as the e-tolling system. It allows for the free flow Electronic Tolling (E-Toll) system and records all vehicles passing through the tollgate without requiring them to stop or slow. A built-in device (tag) is fitted into the overhead gantry system to detect the passing vehicle, which reads an e-tag (if fitted), as well as recording the number plate of the vehicle. A fee for using the road will be charged and paid later from a registered e-toll account, linked to the vehicle user or if no e-tag is present a bill is submitted to the owner. The primary issue associated with the project relates to complaints from various interest groups, political parties and civic organisations regarding public participation in the planning and execution of e-tolling. This has resulted in mass marches and court cases, with the project, consequently undergoing delays, suspension and postponements. The study is, thus, motivated by the foregoing factors in endeavouring to assess the effectiveness of the public participation process in the initial stages of the e-tolling project. The research utilised an exploratory case study method; comprehensively appraising the public participation areas within the e-tolling project of Gauteng. The study employed both documentation reviews and interviews as data collection methods. The research design was predominantly qualitative, however data analysis was undertaken and presented in both qualitative and quantitative evaluations...

The current condition of the nation’s transportation system is of great concern to State Departments of Transportation. Currently, funds in many state transportation budgets are depleting. Nowadays, State DOT officials together with researchers are exploring various transportation financing approaches and they are considering the utility, merits, challenges, and impacts of these approaches. A major financing approach being considered relies on the collection of tolls on existing toll roads and on roads on which tolls are not presently collected. Recent technology advancements in Open Road Tolling and All-Electronic Tolling have provided State DOTs with the opportunity to consider expanding the use of toll revenue to finance transportation investments. These two types of tolling technologies appeal to motorists by allowing them to maintain their current highway speed while going through a toll plaza. In addition, many State DOT officials now view toll based approaches as viable “user fee” based strategies together with other alternative approaches such as the fuel tax and sales tax. Central to this research is a case study of the Boston Metropolitan area. The case study includes the formulation and preliminary evaluation of toll based financing approaches potentially suitable for consideration in Massachusetts. The approaches include increases to existing tolls and placing tolls on selected roadways not currently tolled. The evaluation includes estimates of changes in demand and anticipated revenues associated with these toll based approaches. It is expected that the results of this research will be of interest to State DOT officials in Massachusetts and other states.

Aprendizagem por reforço multiagente (do inglês, MARL) é uma tarefa desafiadora em que agentes buscam, concorrentemente, uma política capaz de maximizar sua utilidade. Aprender neste tipo de cenário é difícil porque os agentes devem se adaptar uns aos outros, tornando o objetivo um alvo em movimento. Consequentemente, não existem garantias de convergência para problemas de MARL em geral. Esta tese explora um problema em particular, denominado escolha de rotas (onde motoristas egoístas deve escolher rotas que minimizem seus custos de viagem), em busca de garantias de convergência. Em particular, esta tese busca garantir a convergência de algoritmos de MARL para o equilíbrio dos usuários (onde nenhum motorista consegue melhorar seu desempenho mudando de rota) e para o ótimo do sistema (onde o tempo médio de viagem é mínimo). O principal objetivo desta tese é mostrar que, no contexto de escolha de rotas, é possível garantir a convergência de algoritmos de MARL sob certas condições. Primeiramente, introduzimos uma algoritmo de aprendizagem por reforço baseado em minimização de arrependimento, o qual provamos ser capaz de convergir para o equilíbrio dos usuários Nosso algoritmo estima o arrependimento associado com as ações dos agentes e usa tal informação como sinal de reforço dos agentes. Além do mais, estabelecemos um limite superior no arrependimento dos agentes. Em seguida, estendemos o referido algoritmo para lidar com informações não-locais, fornecidas por um serviço de navegação. Ao usar tais informações, os agentes são capazes de estimar melhor o arrependimento de suas ações, o que melhora seu desempenho. Finalmente, de modo a mitigar os efeitos do egoísmo dos agentes, propomos ainda um método genérico de pedágios baseados em custos marginais, onde os agentes são cobrados proporcionalmente ao custo imposto por eles aos demais. Neste sentido, apresentamos ainda um algoritmo de aprendizagem por reforço baseado em pedágios que, provamos, converge para o ótimo do sistema e é mais justo que outros existentes na literatura. / Multiagent reinforcement learning (MARL) is a challenging task, where self-interested agents concurrently learn a policy that maximise their utilities. Learning here is difficult because agents must adapt to each other, which makes their objective a moving target. As a side effect, no convergence guarantees exist for the general MARL setting. This thesis exploits a particular MARL problem, namely route choice (where selfish drivers aim at choosing routes that minimise their travel costs), to deliver convergence guarantees. We are particularly interested in guaranteeing convergence to two fundamental solution concepts: the user equilibrium (UE, when no agent benefits from unilaterally changing its route) and the system optimum (SO, when average travel time is minimum). The main goal of this thesis is to show that, in the context of route choice, MARL can be guaranteed to converge to the UE as well as to the SO upon certain conditions. Firstly, we introduce a regret-minimising Q-learning algorithm, which we prove that converges to the UE. Our algorithm works by estimating the regret associated with agents’ actions and using such information as reinforcement signal for updating the corresponding Q-values. We also establish a bound on the agents’ regret. We then extend this algorithm to deal with non-local information provided by a navigation service. Using such information, agents can improve their regrets estimates, thus performing empirically better. Finally, in order to mitigate the effects of selfishness, we also present a generalised marginal-cost tolling scheme in which drivers are charged proportional to the cost imposed on others. We then devise a toll-based Q-learning algorithm, which we prove that converges to the SO and that is fairer than existing tolling schemes.