Mihails Savrasovs

Urban Public Transport System's Reliability Estimation Using Microscopic Simulation

Urban Public Transport Systems Reliability Estimation Using Microscopic Simulation In the article the procedure of the reliability measures estimation for one route of the public transport network on the basis of a traffic flow modelling is suggested. A definition of UPTS reliability is based on the analysis of the Travel Time Reliability, Arrival Time Reliability and Probability of arriving to the stops with delay no more than m minutes. The approach is applied to the real task of the reliability estimation for Riga city public transport route. The microscopic model of transport network fragment is used for it. Pilsetas sabiedriskã transporta sistemas uzticamĩbas novertešana, pielietojot mikroskopisku imitãciju Rakstã autori piedãvã uzticamĩbas pasãkumu novertešanas procedũru sabiedriskã transporta tĩkla vienam maršrutam, pamatojoties uz satiksmes plũsmas modelešanu. UPTS uzticamĩbas definĩcija ir balstĩta uz Travel Time Reliability /ceļošanas laika uzticamĩba/, Arrival Time Reliability /ierašanãs laika uzticamĩba/ un Probability of Arriving to the Stops /ierašanãs pieturvietãs varbũtĩba/ ar nokavešanos ne vairãk kã m minũtes analĩzi. Pieeja tiek pielietota reãlajam uzticamĩbas novertešanas uzdevumam Rĩgas pilsetas sabiedriskã transporta maršrutam. Tam tiek lietots transporta tĩkla fragmenta mikroskopiskais modelis.

Traffic Flow Simulation on Discrete Rate Approach Base

Traffic Flow Simulation on Discrete Rate Approach Base The classical scientific literature dedicated to transport modelling has emphasised three levels of detail on which traffic models could be created. These levels are: microlevel, mesolevel and macroscopic level. Microscopic and macroscopic modelling are well known and widely used. The term ‘mesoscopic modelling’ has been interpreted by different scientists in different ways. In general, mesoscopic traffic flow models are understood to be models where traffic flow is described with a high level of detail, but at the same time flow behaviour and flow interactions are presented with a low level of description. The previously proposed new simulation approach (called ‘mesoscopic simulation’) was applied to traffic flow simulation. All the described models were implemented using Microsoft Excel and VBA. However, the practical application concerns that to construct more sophisticated models Microsoft Excel and VBA could not be used, because of programming complexity. The main goal of this paper is to present examples of the application of the discrete rate approach of ExtendSim simulation software for traffic flow simulation. A literature survey has shown that the discrete rate approach is mainly used in logistics, but not in the area of transport area. So the tasks of this paper are to present the main techniques of model implementation using a discrete rate approach and to apply this approach to traffic flow simulation. Satiksmes plūsmas simulācija, balstoties uz diskrētās likmes pieeju Klasiskā zinātniskā literatūra, kas veltīta transporta modelēšanai, uzsver trīs līmeņu detalizācijas, kurās satiksmes modeļi varētu tikt radīti. Šie līmeņi ir sekojoši: mikrolīmenis, mezolīmenis un makroskopiskais līmenis. Mikroskopiskā un makroskopiskā modelēšana ir labi zināma un plaši pielietota. Terminu ‘mezoskopiskā modelēšana’ dažādi zinātnieki interpretē dažādi un dažādos veidos. Kopumā mezoskopiskie satiksmes plūsmas modeļi tiek saprasti kā modeļi, kur trafika plūsma tiek aprakstīta ļoti detalizēti, bet tajā pašā laikā plūsmas uzvedība un plūsmas mijiedarbība tiek parādīta ar zema līmeņa aprakstu. Jaunā modelēšanas pieeja, t.s. ‘mezoskopiskā modelēšana’, par kuru tika iepriekš runāts, ir pielietota trafika plūsmas modelēšanā. Visi aprakstītie modeļi tika ieviesti, pielietojot Microsoft Excel un VBA. Tomēr praktiskais pielietojums rada bažas, ka, konstruējot sarežgītākus modeļus, Microsoft Excel un VBA lietot nevar programmatūras sarežgītības dēļ. Dotā raksta mērķis ir prezentēt piemērus, modelējot satiksmes plūsma, ar ExtendSim modelēšanas programmatūras diskrētās likmes pieejas pielietošanu. Pēc dotās literatūras, varam spriest, ka diskrētās likmes pieeja tiek lietota galvenokārt logistikā, bet ne transporta jomā. Tādējādi šī raksta mērķis ir parādīt modeļu ieviešanas galvenās tehnikas, pielietojot diskrētās likmes pieeju, un pielietot šo pieeju satiksmes plūsmas modelēšanā.

Practical Aspects Of Modelling In The Transport Node Reconstruction In Riga.

The paper describes the questions of decision support system in transport planning. One of the methods used for studying the relationships and underlying the transportation decision-making is transport modelling, which includes traffic modelling on micro and macro levels. The research considers the example of the microsimulation model of Riga complex transport node. At first, the simulation model for this node using package VISSIM was constructed. This model was based on the real traffic measurements in this area. Further, the two sets of experiments with the model were undertaken: 1 with fulfilled reconstruction and 2 – with offered improving of this node. The data prognosis of this traffic for 8 years was used in both experiments.

Evaluation of Freight Measures by Integrating Simulation Tools: The Case of Volos Port, Greece

Abstract Simulation modelling tools have been widely adopted for the evaluation of alternatives in transport planning, management and logistics. The complexity that underlies in transport systems and logistics necessitate the integration of different models that are capable of overcoming limitations that may exist individually to each model. Towards this direction, this paper aims to integrate two simulation software and use the integrated model for the evaluation of traffic and logistics measures in the wider area of Volos Port, Greece. The built model is able to simulate the traffic conditions on a transport network along with port’s intra-logistics processes and is used to evaluate a set of measures in the year 2030, by comparing it with the situation in the year 2030 without having implemented any new measure. For the evaluation, a set of indicators is used to gauge the environmental and transport impacts. The analysis is completed by using a multi-criteria decision making tool to generate the Logistics Sustainability Index (LSI) to summarize the information that is provided by the indicators. The results show that the use of integrated simulation models can provide a holistic impact evaluation of complex decisions with a high level of accuracy.

Traffic flow short-term forecasting system design and prototyping: Case study of Riga city

The goal of the paper is to demonstrate the design and prototyping of the short-term forecasting system for Riga city. The key component of the short-term forecasting system is a macroscopic transport model implemented in PTV VISION VISUM simulation software. The aim of the model is to provide the operational data about traffic flows to decision makers in order to control and in future adjust the traffic situation in the urban area. The model receives the data about current traffic flow intensities, the data about current restrictions and limitations in the transport network, data about travel behaviour represented by an origin-destination matrix. Based on the TFlowFuzzy approach the original matrix is calibrated and used to complete short-term forecasting. The paper demonstrates the workflow of the system and provides information about implemented solution and discuss limitations and issues for the future development of the short-term forecasting system. The system could become an important part of the traffic monitoring and control centre of Riga city.

Strategy for Research Development in the University. Case Study of Transport and Telecommunication Institute

Abstract The paper represents Transport and Telecommunication Institute research programme for period of time 2016-2020. Developed research programme should insure sustainable development of TTI as research institution and should raise research capabilities of the organization by planning and further implementation of the collaboration activities with national and international partners. The analyses of main technology development in the area of TTI research activities, framework for development of research programme, the structure of key TTI strategies and main directions of TTI research activities are described in the paper sides.

Wide-Scale Transport Network Microscopic Simulation Using Dynamic Assignment Approach

Traffic microscopic simulation is a powerful decision supporting tool, which could be applied for wide range of tasks. In a past microscopic traffic simulation was used to test local changes in transport infrastructure, but the growth of computers performance allows now to simulate wide-scale fragments of the traffic network, but this require usage of more advanced simulation techniques, like dynamic traffic assignment (DTA). There are several benefits of DTA application, but practical application of DTA make the simulation task more complex and require additional parametrisation, calibration and validation of the model. The goal of the current paper is to present the case-study from city of Riga (capital of Latvia), which demonstrates the application of dynamic assignment approach in the complex network simulation with use of DTA in PTV VISSIM simulation software. Additional finding of this paper is the set of the recommendations of the VISSIM dynamic assignment module configuration for solving above mentioned problem.

Evaluating Smart Urban Freight Solutions Using Microsimulation

Last mile distribution remains a difficult-to-solve variable in urban congestion’s equation, especially in Europe, due to increased population, economic growth and limited space. Over the last decades, several European projects have contributed significantly into that direction, by developing innovative concepts (e.g., electric solutions, ITS adoption, effective policy-based strategies). A great number of measures has been deployed and considered as possible solutions to the last mile distribution problem of European cities, however, only a few of them have actually been implemented and tested over a long period of time and their impacts have been quantified.