Transport and Telecommunication Institute — is the largest university-type accredited non-state technical higher educational and scientific establishment in Riga, the capital of Latvia. It was established in 1999, although incorporated the core of a technical and aviation school which dated back to 1919. The Institute modeling itself upon new educational technologies. Main directions of academic activities: Electronics and Telecommunications, Information Technologies and Computer Science, Economics, Management and Business Administration, Transport and Logistics.Total Amount of Students: about 4700Academic Staff: total amount - about 220, with Doctoral Degree - 60%Study Languages:Latvian, Russian, English Wikipedia.
Kabashkin I.,Transport and Telecommunication Institute
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017
If a blockchain is well-implemented, the resulting advantages include speed, privacy, reliability, and much lower costs. As more global enterprises adopt blockchain technology, it is necessary to evaluate and address not only benefits but the associated risks too. Effective solutions can be proposed based on the analysis of potential risks in the used blockchain ecosystem by its modelling. In the paper, the approach for risk modelling of blockchain ecosystem is described. Practical realization of simulation on the base of Petri Net model is proposed. Process of E-net model design for analysis of blockchain platform and critical aspects of a blockchain solution includes the next main components: formal construction of the individual blocks process formation in the blockchain; formal construction for transformation probability of various possible risks in the blockchain ecosystem into the generator of risk events; formal metamodeling of blockchain operation with critical aspects of a blockchain solution; base set of modelling elements for above-mentioned transformation procedure; and software tools for simulation experiment. The detailed rules for design of Petri Net model are proposed and used structure of ATM communication network is performed. © Springer International Publishing AG 2017.
Pavlyuk D.,Transport and Telecommunication Institute
Procedia Engineering | Year: 2017
This research is devoted to a systematic review of multivariate models in the context of their application to short-term traffic flow forecasting. A set of discussed models includes autoregressive integrated moving average models (ARIMA and VARMA), error correction models (VECM and EC-VARMA), space-time ARMA (STARMA), and multivariate autoregressive space state models (MARSS). All these models are based on different assumptions about a structure of interrelationships in traffic data (in time, in space or between different traffic characteristics). We discussed base assumptions of these models (such as stationary of traffic flows and spatial independence of data) and their importance in the domain of transport flows. The discussion is supplemented with an empirical application of the models to forecasting of traffic speeds for a small road segment. Empirical conclusions and projected research directions are also presented. © 2017 The Authors.
Rolik Y.,Transport and Telecommunication Institute
Procedia Engineering | Year: 2017
Analysis of possible risks in the process of implementing a specific project has been carried out, measures to reduce their negative impact on the project have been developed and proposed. The object of study is a wind energy project, namely a wind farm working as part of the national energy system. The implementation of the project is related to both external and internal risk factors that are characteristic to such projects in the real economy sector under the current conditions. Such risks have been classified and the fractional structure of risk adjustment has been analysed taking into account the properties of the particular wind energy project, which consists of three main components. A description has been given of the innovative technology selected for project implementation, power generation using wind, which is used to limit the negative influence of the above-mentioned risks. The current strategic management tools, such as SWOT analysis and McKinsey matrix, which are useful for the identification of project risks, have been examined. For the wind energy project that is being implemented, the project dot location coordinates were determined in the McKinsey matrix on axes: Advantages against competitors and Market attractiveness. Also, a sector characterising the project development prospects was established to be subsequently used as a tool for risk identification. Following the identification of risks, specific measures of state support and special project management measures were developed and proposed to be implemented with the aim of limiting the negative influence of the possible project risks. © 2017 The Authors.
Stukalina Y.,Transport and Telecommunication Institute
Procedia Engineering | Year: 2017
Today, the delivery of educational services is accomplished in a diversity of ways due to the rules dictated by the ever-evolving global environment. As the global environment has changed drastically over the last decades and has become more uncertain, the prevailing management approaches do not seem to be well-suited for contemporary universities. Both public and private universities are now pressed to perform their traditional functions more efficiently. The expectations of students have also changed, which makes higher education institutions become more flexible for meeting the needs of new student populations. Thus, senior managers of a contemporary technical university have to re-examine their strategies aimed at achieving academic and research excellence, which requires flexible and responsive forms of management that are more inclusive of academic and research aspects in the decision-making process. This paper considers the implications for managers and academics, as key stakeholders of a higher education institution, in the highly globalized modern environment. The paper explores a few central issues faced by the management of a technical university in in the framework of developing a competitive strategy with due account for the needs of new student populations, as well as employers and policy-makers. © 2017 The Authors.
Popova Y.,Transport and Telecommunication Institute
Procedia Engineering | Year: 2017
The concept of wellbeing is rather difficult for perception since it cannot be expressed by just one definition. It usually gives quite broad illustration of the standard of living of the population and comprises both concepts measuring the subjective satisfaction of people and objective indicators. Wellbeing reflects the quality of life of the country population. The indicator is not the static one, vice versa it is highly dynamic and changes together with the ideas and perception the people have about their possibility to fulfill the goals of their life, both personal and social (Statham and Chase, 2010; Rees et al., 2010). The efficiency of national economy and economic growth as well as sustainable development of industries and entire regions are determined to a great extent by the transport sustainable functioning. The goal of this research is to find out the relations between the factors of population wellbeing and the level of transport infrastructure development within the country. © 2017 The Authors.
Agency: European Commission | Branch: FP7 | Program: CSA-SA | Phase: SST.2008.6.0.1. | Award Amount: 939.29K | Year: 2009
Based on successful FP5&6 experiences of POLLOCO and CENTRAL LOCO projects, the revised and expanded concept of the B2B LOCO project is that local market-oriented research units - collaborating in an international network aimed at experience exchange - can substantially increase the participation of SMEs in the FP projects by demonstrating and actively promoting the most business practice-oriented results of past and current RTD projects of the FP among the enterprises. The dramatically increased project area covers now 15 countries, including Old and New Member States and 2 Candidate Countries, covering most of the East of the continent and beyond, form Estonia to Israel. B2B LOCO will target Regional Clusters gathering different types of SMEs: transport and logistics companies, manufacturing and retail companies, hi-tech companies and green technologies companies that are of a particular focus of this call. Companies from these three groups are often FP-ready yet they are not realising their potential because the FP is best communicated to the research community. Therefore B2B LOCO consortium groups research organisations with considerable experience in FPs and a track record in talking directly to SMEs, using their own language and knowing what drives them in everyday operations. B2B LOCO will provide SME community with two international conferences, two practical workshops and three brokerage events, supplemented with permanent communication mechanisms (www, newsletters, alumni networks). As a result of B2B LOCO activities, SMEs will benefit from advanced solutions developed by FP consortia, experiences of successful SME- RTD - Academia co-operation cases which are laudable and should be copied. In addition to this, project will support processes of forming partnerships for future Framework Programmes. Moreover, new information channels which will be created during the project, will support transfer of essential information on transport and logistics
Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: REGIONS-1;REGIONS-2009-1 | Award Amount: 3.02M | Year: 2010
Most countries in European Union are suffering severe water scarcity caused by a negative balance between water resources and water demands. A sustainable management of hydrological resources results totally necessary, as it is established by the European Water Framework Directive (60/2000/EC), which makes compulsory for every water management authority in EU to prepare a river basin management plan by the end of this year 2009. In order to fulfil these obligations and considering the complexity of water bodies control and the undefined future scenario provided by climate change, there is an imperative demand of the use of integrated management tools and methods, such as computerized models. Thus, integrated Water Resources Management must be faced from a multisectorial point of view, involving scientific research, social and economic aspects and administrative proceedings. The NOVIWAM project will tackle these challenges by synthesizing the different perspectives of research institutions, authorities and entrepreneurs, introducing them into promotion of interregional co-operation. Based on several top level research results in water management and leaded by a consolidated cluster managed by a regional authority with exclusive competences on a major European river, the project will establish an European network to strengthen synergies between regional, national and EU initiatives addressing the Integrated Management RTD and innovation challenges. NOVIWAM aims to establish long-lasting links between clusters throughout the regions, and allow the triple-helix components to benefit from the scale economies deriving from this multilevel and interregional co-operation. Mentoring activities are strongly considered, as specific needs of clusters from a candidate country (Albania) and insularity problems (Cyprus), have been included. NOVIWAM will produce a Joint Action Plan (JAP) at European level with specific measures and calendar beyond the end of the project.
Agency: European Commission | Branch: FP7 | Program: CSA-SA | Phase: TPT.2012.3-2. | Award Amount: 1.71M | Year: 2012
T-TRANS project aims at providing information on innovation mechanisms for the Intelligent Transportation Systems domain, encouraging and facilitating an accelerated market deployment of related innovative products and services. A deep analysis of the current activity in Intelligent Transportation Systems shows an increasing importance of this transport research and application domain to support major EU priorities as regard of economic growth objectives by 2020 and beyond. T-TRANS project will focus on the need to streamline the key factors influencing in the innovation chain for ITS in order to bring out a better understanding of their market potential and to provide a guideline for their future exploitation. For this particular, a set of 4 case studies have been pre-selected from key ITS areas so the T-TRANS consortium can detect the features of the innovation chain, analyze the ITS market, evaluate the evolution for the specific cases and applicatiions involved and provide solid guidelines for ITS innovation commercialization. In paralel and linked to this in-depth analysis of pre-selected cases in several ITS domains and their innovation chains for their transfer to market, T-TRANS project will focus in strenghtening the innovation and cooperation chain for the ITS domain. For this ambitious objective, the consortium will design and operate ITS innovation pilot nodes (G-local Communities of Interest to Market) as a first stage for a future EU Innovation Network on ITS. Following key criteria determined by the Transport 2012 Work Programme, T-TRANS G-local CIMs will be launched in regions of the EU27 where there is a clear untapped potential to reinforce the links of the innovation chain on the one side, and to assess and promote the development of key elements in their respective transport systems on the other, pushing towards a better integration into the international transport networks through the enhancement of the application of ITS.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: H2020-TWINN-2015 | Award Amount: 996.31K | Year: 2016
The scope of ALLIANCE is the enabling of stimulating and strengthening the scientific and technological capacity of Latvia and the raising of the profile of the research staff and their institution, by providing knowledge in the field of smart interconnecting sustainable transport networks. This knowledge transfer will build the grounds for a common understanding of the main components affecting sustainable intermodality and support the selection and management of the most optimal and applicable solutions for transport interchanges. It will also facilitate stakeholder collaboration and the development of strong linkage among education, research and industry. The objective of the project is to have advanced research and higher education institution in the field of transport in Latvia by linking TTI with two internationally recognized research entities UTH and Fraunhofer. Close collaboration of TTI with UTH and Fraunhofer will help to achieve the goals through the following activities: Organization of young researchers seminars; Organization of workshops; Organization of summer schools for trainers and young researchers; Development of educational programme for graduate and post-graduate students; Development of training programme for trainers and practitioners; Provision of grants for participation as authors in per reviewed conferences; Facilitation of Short-Term Staff Exchanges (STSEs) with the aim of international collaboration, mainly publications; Establishment of a guidance strategy for preparing scientific publications; Creation of an educational forum as on-line tool for distance learning and knowledge sharing. Research activities related to multimodal transport networks will be enhanced in TTI, which will also push forward the institutes scientific visibility and enlarge the regions researchers and professionals horizons towards intermodality.
Transport and Telecommunication Institute | Date: 2015-06-03
A method for road vehicle weigh-in-motion comprising the steps of obtaining wheel load signals (34) from a plurality of elongated fibre-optic sensors (12-17) embedded in a road surface (46), each signal (34) being indicative of a wheel load as the vehicle (24) travels across the sensors (12-17); determining a velocity of the vehicle (24); determining a width (W) of a wheel tire (28); and determining a weight of each wheel, wherein the step of determining the weight of the wheel comprises decomposing the wheel load signal (34) into an even and odd components (36, 37), reconstructing a footprint (30) of the wheel tire (28) based on a footprint model (38), the width of the tire (W), and the wheel load signal (34) by aligning the characteristic points (A, B, C, D) of the footprint model 30 with the characteristic points (a, b, c, d) of the odd component (37) of the wheel load signal (34), and calculating the wheel weight from the reconstructed footprint (30) and the even component (36) of the signal (34). The corresponding apparatus and system are also provided.