This page has only limited features, please log in for full access.
since 2020 associate professor in Wrocław University of Environmental and Life Sciences, Department of Mathematics 2007 PhD. in agricultural sciences, field - agrometeorology Faculty of Environmental Engineering and Geodesy Wroclaw University of Environmental and Life Sciences, 2002 Master of Science (M.Sc.) in mathematics Faculty of Mathematics and Physics, Białystok University Subject of Master’s thesis: „Matrix representations of rings” 2012 Engineer, Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Wroclaw University of Technology, Subject of dissertation: „ Probabilistic analysis of the wear model of the piston ring –cylinder liner set” 2002 B.A. in Finance Mathematics Faculty of Mathematics and Physics, Białystok University Subject of dissertation: „ Futures contracts and their application in investment risk management”
The article presents the newly developed remote monitoring of tire pressure in the car fleet. The use of information from monitoring allows slowing down the tire wear process. The article presents the results of tests of tire pressure and friction wear of the tread made for the car fleet in which monitoring was used and for the fleet in which monitoring was not used. The research results show that the application of the decision-making process based on the results of monitoring allows reducing the amount of waste in the form of prematurely worn tires. The wear of monitored tires amounted to 7–13%, while the wear of unmonitored tires reached even 70%. Assuming that 50% of polish transport companies will effectively use the presented monitoring system, the reduction of generated rubber waste will amount to over 2000 tons less tire waste per year in Poland (Central Europe).
B. Szczucka-Lasota; T. Węgrzyn; B. Łazarz; J.A. Kamińska. Tire pressure remote monitoring system reducing the rubber waste. Transportation Research Part D: Transport and Environment 2021, 98, 102987 .
AMA StyleB. Szczucka-Lasota, T. Węgrzyn, B. Łazarz, J.A. Kamińska. Tire pressure remote monitoring system reducing the rubber waste. Transportation Research Part D: Transport and Environment. 2021; 98 ():102987.
Chicago/Turabian StyleB. Szczucka-Lasota; T. Węgrzyn; B. Łazarz; J.A. Kamińska. 2021. "Tire pressure remote monitoring system reducing the rubber waste." Transportation Research Part D: Transport and Environment 98, no. : 102987.
Sustainable Development Goals require holistic actions, including activity at the intersection of urban planning and environmental engineering. Turning our cities towards transit‑oriented development might help in reducing pollutant emissions caused by individual transportation modes that rely on crude oil. This research presents how the use of geospatial network analysis can support local decision makers in the evaluation of potential public transport accessibility by citizens in the case of a Central European city – Wrocław (Poland). The obtained results indicate differentiation in access to railway stations and stops, which results from pedestrian path networks and the number of entrances to railway stations. The visualization of serve area shows which parts of the city are excluded from comfortable access to public transport and in that way high‑ light where future actions should be taken.
Maksymilian Leśniewski; Małgorzata Świąder; Iwona Kaczmarek; David Garcia Castro; Joanna A. Kamińska; Tomasz Pilawka; Jan K. Kazak. Towards Transit‑Oriented Development for Sustainable Urban Mobility: Insights from a Central European City. Geomatics and Environmental Engineering 2021, 15, 39 -53.
AMA StyleMaksymilian Leśniewski, Małgorzata Świąder, Iwona Kaczmarek, David Garcia Castro, Joanna A. Kamińska, Tomasz Pilawka, Jan K. Kazak. Towards Transit‑Oriented Development for Sustainable Urban Mobility: Insights from a Central European City. Geomatics and Environmental Engineering. 2021; 15 (3):39-53.
Chicago/Turabian StyleMaksymilian Leśniewski; Małgorzata Świąder; Iwona Kaczmarek; David Garcia Castro; Joanna A. Kamińska; Tomasz Pilawka; Jan K. Kazak. 2021. "Towards Transit‑Oriented Development for Sustainable Urban Mobility: Insights from a Central European City." Geomatics and Environmental Engineering 15, no. 3: 39-53.
Due to the unwavering interest of both residents and authorities in the air quality of urban agglomerations, we pose the following question in this paper: What impact do current and past meteorological factors and traffic flow intensity have on air quality? What is the impact of lagged variables on the fit of an explanation model, and how do they affect its ability to predict? We focused on NO2 and NOx concentrations, and conducted this research using hourly data from the city of Wrocław (western Poland) from 2015 to 2017; we used multi-objective optimization to determine the optimal delays. It turned out that for both NO2 and NOx, the past values for traffic flow, wind speed, and sunshine duration are more important than the current ones. We built random forest models on each of the pollutants for both the current and past values and discovered that including a lagged variable increases the resulting R2 from 0.51 to 0.56 for NO2 and from 0.46 to 0.52 for NOx. We also analyzed the feature importance in each model, and found that for NO2, a wind speed delay of more than three hours causes a significant decrease, while the importance of relative humidity increases with a seven-hour delay; likewise, wind speed increases the importance for NOx prediction with a two-hour delay. We concluded that, in pollutant concentration modeling, the possibility of a delayed effect of the independent variables should always be considered, because it can significantly increase the performance of the model and suggest unexpected relationships or dependencies.
Joanna Kamińska; Fernando Jiménez; Estrella Lucena-Sánchez; Guido Sciavicco; Tomasz Turek. Lag Variables in Nitrogen Oxide Concentration Modelling: A Case Study in Wrocław, Poland. Atmosphere 2020, 11, 1293 .
AMA StyleJoanna Kamińska, Fernando Jiménez, Estrella Lucena-Sánchez, Guido Sciavicco, Tomasz Turek. Lag Variables in Nitrogen Oxide Concentration Modelling: A Case Study in Wrocław, Poland. Atmosphere. 2020; 11 (12):1293.
Chicago/Turabian StyleJoanna Kamińska; Fernando Jiménez; Estrella Lucena-Sánchez; Guido Sciavicco; Tomasz Turek. 2020. "Lag Variables in Nitrogen Oxide Concentration Modelling: A Case Study in Wrocław, Poland." Atmosphere 11, no. 12: 1293.
Energy transition in the European Union (EU) is strongly related to public support from structural funds which enable member states to create new and renovate existing renewable energy source (RES) installations. However, in order to maximize benefits of these investments it is crucial to consider where RES funds are allocated, how it corresponds with RES potential in specific locations, and how future implementation of energy policies can be improved. In this study, RES development projects supported by EU funds, implemented in the period 2004–2019 in Poland, were analyzed in relation to solar, wind and biomass energy potential. The study was conducted with the use of agglomeration method and k-mean method to define clusters of local administrative units characterized by similar features of RES funds absorption and renewable energy production potential. The results obtained show that in the case of all energy sources there is no correlation between high RES funds absorption and energy production potential. The final conclusion of the research is that in order to boost energy transformation into more sustainable solutions, renewable energy production potential should be considered as a factor to allocate public financial support for future energy policy implementation.
Jan K. Kazak; Joanna A. Kamińska; Rafał Madej; Marta Bochenkiewicz. Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support. Energies 2020, 13, 5551 .
AMA StyleJan K. Kazak, Joanna A. Kamińska, Rafał Madej, Marta Bochenkiewicz. Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support. Energies. 2020; 13 (21):5551.
Chicago/Turabian StyleJan K. Kazak; Joanna A. Kamińska; Rafał Madej; Marta Bochenkiewicz. 2020. "Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support." Energies 13, no. 21: 5551.
High concentrations of nitrogen dioxide in the air, particularly in heavily urbanized areas, have an adverse eff ect on many aspects of residents’ health. A method is proposed for modelling daily average, minimal and maximal atmospheric NO2 concentrations in a conurbation, using two types of modelling: multiple linear regression (LR) an advanced data mining technique – Random Forest (RF). It was shown that Random Forest technique can be successfully applied to predict daily NO2 concentration based on data from 2015–2017 years and gives better fi t than linear models. The best results were obtained for predicting daily average NO2 values with R2=0.69 and RMSE=7.47 μg/m3. The cost of receiving an explicit, interpretable function is a much worse fi t (R2 from 0.32 to 0.57). Verifi cation of models on independent material from the fi rst half of 2018 showed the correctness of the models with the mean average percentage error equal to 16.5% for RF and 28% for LR modelling daily average concentration. The most important factors were wind conditions and traffi c fl ow. In prediction of maximal daily concentration, air temperature and air humidity take on greater importance. Prevailing westerly and south-westerly winds in Wrocław eff ectively implement the idea of ventilating the city within the studied intersection. Summarizing: when modeling natural phenomena, a compromise should be sought between the accuracy of the model and its interpretability.
Joanna Kamińska. Explicit and implicit description of the factors impact on the NO2 concentration in the traffic corridor. 2020, 1 .
AMA StyleJoanna Kamińska. Explicit and implicit description of the factors impact on the NO2 concentration in the traffic corridor. . 2020; ():1.
Chicago/Turabian StyleJoanna Kamińska. 2020. "Explicit and implicit description of the factors impact on the NO2 concentration in the traffic corridor." , no. : 1.
In order to refine the research on the impact of environmental factors on the concentration of pollutants in the air, in this paper, we present a mathematical model that allows the possibility of taking into account the past values of factors (explanatory variables) when modeling the current concentration of pollution. We conducted numerical analyzes based on hourly data from meteorological, traffic and air quality monitoring stations in Wrocław (Poland, Central Europe) from 2015–2017. In order to determine the optimal delay of each explanatory variable, we used a multi-objective optimization model (MO). It turned out that for the concentration of nitrogen oxides, delayed traffic flow, wind speed and sunshine duration time are more important than current ones. Then we built two random forest models: an actual model of current values of explanatory variables and a lag model with delayed variables determined by the MO method. Taking into account variables with an optimal delay (lag model) results in an increase in model accuracy for NO2 with R2 = 0.51 to 0.56 and for NOx from 0.46 to 0.52. We deduced that in pollutant concentrations modeling, the possibility of greater influence of variables with delay should always be considered because it can significantly increase the accuracy of the model and indicate additional relationships or dependencies.
Joanna A. Kamińska; Guido Sciavicco; Estrella Lucena-Sánchez; Fernando Jiménez. Lag Variables in Air Pollution Modeling Based on Traffic Flow and Meteorological Factors. Proceedings 2020, 51, 1 .
AMA StyleJoanna A. Kamińska, Guido Sciavicco, Estrella Lucena-Sánchez, Fernando Jiménez. Lag Variables in Air Pollution Modeling Based on Traffic Flow and Meteorological Factors. Proceedings. 2020; 51 (1):1.
Chicago/Turabian StyleJoanna A. Kamińska; Guido Sciavicco; Estrella Lucena-Sánchez; Fernando Jiménez. 2020. "Lag Variables in Air Pollution Modeling Based on Traffic Flow and Meteorological Factors." Proceedings 51, no. 1: 1.
Anthropogenic environmental pollution is a known and indisputable issue, and the importance of searching for reliable mathematical models that help understanding the underlying process is witnessed by the extensive literature on the topic. In this article, we focus on the temporal aspects of the processes that govern the concentration of pollutants using typical explanatory variables, such as meteorological values and traffic flows. We develop a novel technique based on multiobjective optimization and linear regression to find optimal delays for each variable, and then we apply such delays to our data to evaluate the improvement that can be obtained with respect to learning an explanatory model with standard techniques. We found that optimizing delays can, in some cases, improve the accuracy of the final model up to 15%.
Joanna Kamińska; Estrella Lucena-Sánchez; Guido Sciavicco. Temporal Aspects in Air Quality Modeling—A Case Study in Wrocław. Air, Soil and Water Research 2020, 13, 1 .
AMA StyleJoanna Kamińska, Estrella Lucena-Sánchez, Guido Sciavicco. Temporal Aspects in Air Quality Modeling—A Case Study in Wrocław. Air, Soil and Water Research. 2020; 13 ():1.
Chicago/Turabian StyleJoanna Kamińska; Estrella Lucena-Sánchez; Guido Sciavicco. 2020. "Temporal Aspects in Air Quality Modeling—A Case Study in Wrocław." Air, Soil and Water Research 13, no. : 1.
Joanna Kamińska. Multi-Objective Evolutionary Optimization for Time Series Lag Regression. 2019, 1 .
AMA StyleJoanna Kamińska. Multi-Objective Evolutionary Optimization for Time Series Lag Regression. . 2019; ():1.
Chicago/Turabian StyleJoanna Kamińska. 2019. "Multi-Objective Evolutionary Optimization for Time Series Lag Regression." , no. : 1.
The temporal aspects often play an important role in information extraction. Given the peculiarities of temporal data, their management typically requires the use of dedicated algorithms, that make the overall data mining process complex, especially in those cases in which a dataset is characterised by both temporal and atemporal information. In such a situation, typical solutions include combining different algorithms for the independent handling of the temporal and atemporal parts, or relying on an encoding of temporal data that makes it possible to apply classical machine learning algorithms (such as with the use of lagged variables). This work investigates the management of temporal information in an environmental problem, that is, assessing the relationships between concentrations of the pollutants \(NO_2\), \(NO_X\), and \(PM_{2.5}\), and a set of independent variables that include meteorological conditions and traffic flow in the city of Wrocław (Poland). We show that taking into account temporal information by means of lagged variables leads to better results with respect to atemporal models. More importantly, an even higher performance may be achieved by making use of a recently proposed decision tree model, called J48SS, that is capable of handling heterogeneous datasets consisting of static (i.e., categorical and numerical) attributes, as well as sequential and time series data. Such an outcome highlights the importance of proper temporal data modelling.
Andrea Brunello; Joanna Kamińska; Enrico Marzano; Angelo Montanari; Guido Sciavicco; Tomasz Turek. Assessing the Role of Temporal Information in Modelling Short-Term Air Pollution Effects Based on Traffic and Meteorological Conditions: A Case Study in Wrocław. Communications in Computer and Information Science 2019, 463 -474.
AMA StyleAndrea Brunello, Joanna Kamińska, Enrico Marzano, Angelo Montanari, Guido Sciavicco, Tomasz Turek. Assessing the Role of Temporal Information in Modelling Short-Term Air Pollution Effects Based on Traffic and Meteorological Conditions: A Case Study in Wrocław. Communications in Computer and Information Science. 2019; ():463-474.
Chicago/Turabian StyleAndrea Brunello; Joanna Kamińska; Enrico Marzano; Angelo Montanari; Guido Sciavicco; Tomasz Turek. 2019. "Assessing the Role of Temporal Information in Modelling Short-Term Air Pollution Effects Based on Traffic and Meteorological Conditions: A Case Study in Wrocław." Communications in Computer and Information Science , no. : 463-474.
Bożena SZCZUCKA-LASOTA; Joanna Kamińska; Iwona Krzyżewska. INFLUENCE OF TIRE PRESSURE ON FUEL CONSUMPTION IN TRUCKS WITH INSTALLED TIRE PRESSURE MONITORING SYSTEM (TPMS). Scientific Journal of Silesian University of Technology. Series Transport 2019, 103, 167 -181.
AMA StyleBożena SZCZUCKA-LASOTA, Joanna Kamińska, Iwona Krzyżewska. INFLUENCE OF TIRE PRESSURE ON FUEL CONSUMPTION IN TRUCKS WITH INSTALLED TIRE PRESSURE MONITORING SYSTEM (TPMS). Scientific Journal of Silesian University of Technology. Series Transport. 2019; 103 ():167-181.
Chicago/Turabian StyleBożena SZCZUCKA-LASOTA; Joanna Kamińska; Iwona Krzyżewska. 2019. "INFLUENCE OF TIRE PRESSURE ON FUEL CONSUMPTION IN TRUCKS WITH INSTALLED TIRE PRESSURE MONITORING SYSTEM (TPMS)." Scientific Journal of Silesian University of Technology. Series Transport 103, no. : 167-181.
The concentration of nitrogen dioxide in the air along a major route in a large city is affected by very many factors, which are also interdependent. As an alternative to complicated deterministic models based on these complex processes, in this study a probabilistic model for predicting NO2 concentrations is proposed, using a simple accounting cluster-based method for determining probability distributions for tabulated values of ambient factors. Using the example of hourly values of NO2 concentration and data on wind speed and traffic flow for the main intersection in Wrocław (Poland), a model is constructed to predict the frequency of occurrence of concentrations in the form of a probability distribution, for given values of the input variables. The model was successfully verified on data for the first six months of 2018. A mean continuous rank probability score (CRPS) of 9.15 μg/m3 was obtained. In spite of the greater impact of traffic volume on urban NO2 concentrations, as measured by Pearson’s correlation coefficient, for instance, the model indicates that wind speed is also a very important factor—wind being the principal mechanism causing the evacuation of pollutants. This underlines the importance of sustainable city planning with regard to ensuring suitable conditions for the passage of air.
Joanna A. Kamińska. Probabilistic Forecasting of Nitrogen Dioxide Concentrations at an Urban Road Intersection. Sustainability 2018, 10, 4213 .
AMA StyleJoanna A. Kamińska. Probabilistic Forecasting of Nitrogen Dioxide Concentrations at an Urban Road Intersection. Sustainability. 2018; 10 (11):4213.
Chicago/Turabian StyleJoanna A. Kamińska. 2018. "Probabilistic Forecasting of Nitrogen Dioxide Concentrations at an Urban Road Intersection." Sustainability 10, no. 11: 4213.
A macroscopic model of road traffic flow in an entire city is constructed, using the example of Wrocław. The model is of deterministic-random type. The start and finish points of each vehicle journey are random elements of the model, while the street graph, routes of travel and traffic parameters are obtained in a deterministic manner. Vehicle speed is dependent on traffic density, and the time needed to cross an intersection depends on the number of waiting vehicles. The route of travel between given start and finish points is determined using Dijkstra’s algorithm, minimising the journey time. The street graph of Wrocław was constructed using data from the Open Street Map website. Identification of parameters and verification of the model were performed using hourly data on traffic volumes at the city’s major intersections in the years 2015–16, obtained from the Intelligent Transport System (ITS). Identification was made of the total number of vehicles travelling in the city at each time of day, a quantity that is difficult to determine by other methods. An accuracy of around 15% was obtained for times between 6.00 and 22.00, while for night-time the verification error exceeded 30%. The model may be used to analyse the impact of planned modifications to the transport system on traffic parameters in the city. It may also serve as a constituent of a larger model for investigating the effect of road transport on atmospheric pollution or for identifying areas at risk of noise pollution.
Mieczysław Chalfen; Joanna Kamińska. Identification of parameters and verification of an urban traffic flow model. A case study in Wrocław. ITM Web of Conferences 2018, 23, 00005 .
AMA StyleMieczysław Chalfen, Joanna Kamińska. Identification of parameters and verification of an urban traffic flow model. A case study in Wrocław. ITM Web of Conferences. 2018; 23 ():00005.
Chicago/Turabian StyleMieczysław Chalfen; Joanna Kamińska. 2018. "Identification of parameters and verification of an urban traffic flow model. A case study in Wrocław." ITM Web of Conferences 23, no. : 00005.
Two data mining methods – a random forest and boosted regression trees – were used to model values of roadside air pollution depending on meteorological conditions and traffic flow, using the example of data obtained in the city of Wrocław in the years 2015–2016. Eight explanatory variables – five continuous and three categorical – were considered in the models. A comparison was made of the quality of the fit of the models to empirical data. Commonly used goodness-of-fit measures did not imply a significant preference for either of the methods. Residual analysis was also performed; this showed boosted regression trees to be a more effective method for predicting typical values in the modelling of NO2, NOx and PM2.5, while the random forest method leads to smaller errors when predicting peaks.
Joanna A. Kamińska. Residuals in the modelling of pollution concentration depending on meteorological conditions and traffic flow, employing decision trees. ITM Web of Conferences 2018, 23, 00016 .
AMA StyleJoanna A. Kamińska. Residuals in the modelling of pollution concentration depending on meteorological conditions and traffic flow, employing decision trees. ITM Web of Conferences. 2018; 23 ():00016.
Chicago/Turabian StyleJoanna A. Kamińska. 2018. "Residuals in the modelling of pollution concentration depending on meteorological conditions and traffic flow, employing decision trees." ITM Web of Conferences 23, no. : 00016.
High concentrations of nitrogen dioxide in the air, particularly in heavily urbanised areas, have an adverse effect on many aspects of residents' health (short-term and long-term damage, unpleasant odour and other). A method is proposed for modelling atmospheric NO2 concentrations in a conurbation, using a partition model M consisting of two separate models: ML for lower concentration values and MU for upper values. An advanced data mining technique, that of random forests, is used. This is a method based on machine learning, involving the simultaneous compilation of information from multiple random trees. Using the example of data recorded in Wrocław (Poland) in 2015–2017, an iterative method was applied to determine the boundary concentration y˜ for which the mean absolute deviation error for the partition model attained its lowest value. The resulting model had an R2 value of 0.82, compared with 0.60 for a classical random forest model. The importances of the variables in the model ML, similarly as in the classical case, indicate that the greatest influence on NO2 concentrations comes from traffic flow, followed by meteorological factors, in particular the wind direction and speed. In the model MU the importances of the variables are significantly different: while traffic flow still has the greatest impact, the effects of temperature and relative humidity are almost as great. This confirms the justifiability of constructing separate models for low and high pollution concentrations.
Joanna A. Kamińska. A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions. Science of The Total Environment 2018, 651, 475 -483.
AMA StyleJoanna A. Kamińska. A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions. Science of The Total Environment. 2018; 651 ():475-483.
Chicago/Turabian StyleJoanna A. Kamińska. 2018. "A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions." Science of The Total Environment 651, no. : 475-483.
Random forests, an advanced data mining method, are used here to model the regression relationships between concentrations of the pollutants NO, NO and PM, and nine variables describing meteorological conditions, temporal conditions and traffic flow. The study was based on hourly values of wind speed, wind direction, temperature, air pressure and relative humidity, temporal variables, and finally traffic flow, in the two years 2015 and 2016. An air quality measurement station was selected on a main road, located a short distance (40 m) from a large intersection equipped with a traffic flow measurement system. Nine different time subsets were defined, based among other things on the climatic conditions in Wrocław. An analysis was made of the fit of models created for those subsets, and of the importance of the predictors. Both the fit and the importance of particular predictors were found to be dependent on season. The best fit was obtained for models created for the six-month warm season (April-September) and for the summer season (June-August). The most important explanatory variable in the models of concentrations of nitrogen oxides was traffic flow, while in the case of PM the most important were meteorological conditions, in particular temperature, wind speed and wind direction. Temporal variables (except for month in the case of PM) were found to have no significant effect on the concentrations of the studied pollutants.
Joanna A. Kamińska. The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław. Journal of Environmental Management 2018, 217, 164 -174.
AMA StyleJoanna A. Kamińska. The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław. Journal of Environmental Management. 2018; 217 ():164-174.
Chicago/Turabian StyleJoanna A. Kamińska. 2018. "The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław." Journal of Environmental Management 217, no. : 164-174.
The paper offers mathematical equations of the influence of micro-jet cooling on structure and impact toughness properties of metal weld deposit. Weld metal deposit (WMD) was carried out for standard MIG welding and for MIG welding with micro-jet cooling. This new method is very promising mainly due to the high amount of AF (acicular ferrite) and low amount of MAC (selftempered martensite, retained austenite, carbide) phases in WMD. That structure corresponds with very good mechanical properties ie. good impact toughness of welds at low temperature. Micro-jet cooling after welding can find serious application in automotive industry very soon. Until that moment only argon, helium, nitrogen and gas mixtures of argon were tested for micro-jet cooling after welding. The best results of mechanical properties of WMD in presented welding method correspond with micro-jet argon cooling.
Joanna Kamińska. Mathemathical equations of the influence of molybdenum and nitrogen in welds. 2018, 1 .
AMA StyleJoanna Kamińska. Mathemathical equations of the influence of molybdenum and nitrogen in welds. . 2018; ():1.
Chicago/Turabian StyleJoanna Kamińska. 2018. "Mathemathical equations of the influence of molybdenum and nitrogen in welds." , no. : 1.
Joanna Kamińska. The smog phenomenon on the background of air quality in Wroclaw in 2012-2016. Inżynieria Ekologiczna 2017, 18, 66 -76.
AMA StyleJoanna Kamińska. The smog phenomenon on the background of air quality in Wroclaw in 2012-2016. Inżynieria Ekologiczna. 2017; 18 (5):66-76.
Chicago/Turabian StyleJoanna Kamińska. 2017. "The smog phenomenon on the background of air quality in Wroclaw in 2012-2016." Inżynieria Ekologiczna 18, no. 5: 66-76.
The paper presents the geo-dynamic decision support system (DSS) for urban traffic management issues. For this purpose, ArcGIS and Tableau softwares were used. Additionally, a self-defined transportation model based on Dijkstra’s algorithm was created. The use of our own calculation model allowed for the full accessibility to all parameters of the analysed scenarios which was one of the key assumptions of the research. Functionality of the proposed DSS was tested on three scenarios. Each scenario presents congestion on the road network after the conclusion of events in main landmarks in Wrocław (Poland): the city stadium, the National Forum of Music and the Centennial Hall. The proposed DSS allows for dynamic analysis of urban traffic, including recalculation processes according to the changing congestion on a road network. Moreover, cumulative urban traffic assessment allows you to define hot spots on a network, which should be especially monitored by public services. An interactive dashboard reduces technical details of an analysis which helps to avoid the cognitive problems of the decision making process for a layman. The results prove the feasibility of the integration of the ArcGIS, self-defined transportation model and Tableau. The proposed solution enables full access to the transportation analysis’ assumptions, as well as the use of a simple and intuitive interactive dashboard for the decision making process.
Jan Kazak; Mieczysław Chalfen; Joanna Kamińska; Szymon Szewrański; Małgorzata Świąder. Geo-Dynamic Decision Support System for Urban Traffic Management. Lecture Notes in Geoinformation and Cartography 2017, 195 -207.
AMA StyleJan Kazak, Mieczysław Chalfen, Joanna Kamińska, Szymon Szewrański, Małgorzata Świąder. Geo-Dynamic Decision Support System for Urban Traffic Management. Lecture Notes in Geoinformation and Cartography. 2017; ():195-207.
Chicago/Turabian StyleJan Kazak; Mieczysław Chalfen; Joanna Kamińska; Szymon Szewrański; Małgorzata Świąder. 2017. "Geo-Dynamic Decision Support System for Urban Traffic Management." Lecture Notes in Geoinformation and Cartography , no. : 195-207.
The paper presents an analytical derivation of the dependence between vehicle speed and traffic density in urban traffic conditions. It was shown that the speed function is hyperbolic and depends on the density of traffic flow, the average vehicle length and the value of expected distances between vehicles E(T) expressed in time units. A number of computer simulations were performed on the basis of a defined relationship in order to study the effect of the E(T) value on the parameters of simulated traffic flow. The average speed and time of traveling the route from the starting point to the destination were tested in the conducted simulations. It was proved that the change in the E(T) parameter in a range between 1 s to 4 s results in a change in the average travel time from 6.6% to 35.6% and a change in average speed from 3.0% to 18.0%, depending on the number of vehicles in the simulation.
Joanna Kamińska. The effect of distances between vehicles on time and speed in simulated traffic flow | [Wpływ odległośeci między pojazdami na czas i prędkość przejazdu w symulowanym ruchu]. 2017, 1 .
AMA StyleJoanna Kamińska. The effect of distances between vehicles on time and speed in simulated traffic flow | [Wpływ odległośeci między pojazdami na czas i prędkość przejazdu w symulowanym ruchu]. . 2017; ():1.
Chicago/Turabian StyleJoanna Kamińska. 2017. "The effect of distances between vehicles on time and speed in simulated traffic flow | [Wpływ odległośeci między pojazdami na czas i prędkość przejazdu w symulowanym ruchu]." , no. : 1.
The aim of this study was to determine the change of water quality in the Trzemna River after modernisation of the wastewater treatment plant (WWTP) in Gołuchów and wastewater effluent diversion ((...)
Jolanta Dąbrowska; Aleksandra Bawiec; Katarzyna Pawęska; Joanna Kamińska; Radosław Stodolak. Assessing the Impact of Wastewater Effluent Diversion on Water Quality. Polish Journal of Environmental Studies 2017, 26, 9 -16.
AMA StyleJolanta Dąbrowska, Aleksandra Bawiec, Katarzyna Pawęska, Joanna Kamińska, Radosław Stodolak. Assessing the Impact of Wastewater Effluent Diversion on Water Quality. Polish Journal of Environmental Studies. 2017; 26 (1):9-16.
Chicago/Turabian StyleJolanta Dąbrowska; Aleksandra Bawiec; Katarzyna Pawęska; Joanna Kamińska; Radosław Stodolak. 2017. "Assessing the Impact of Wastewater Effluent Diversion on Water Quality." Polish Journal of Environmental Studies 26, no. 1: 9-16.