Wyniki wyszukiwania - BazTech

1

Examining the possibility of short-term prediction of traffic volume in smart city control systems with the use of regression models

Dymora Paweł, Mazurek Mirosław, Jucha Maksymilian

International Journal of Electronics and Telecommunications

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2024

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Vol. 70, No. 1

31--38

EN

This article deals with issues related to the optimization of traffic management in modern cities, the so-called Smart City. In particular, the article presents the process of evolution of the traffic flow prediction model at a selected crossroads in a selected city in Poland - the city of Rzeszów. Rzeszow is an example of a smart city equipped with an extensive system of real-time data collection and processing from multiple road points in the city. The research was aimed at a detailed analysis of the feasibility and degree of fit of different variants of the regression model: linear, polynomial, trigonometric, polynomial-trigonometric, and regression-based Random Forest algorithm. Several studies were carried out evaluating different generations of models, in particular, an analysis was carried out based on which the superiority of the trigonometric model was demonstrated. This model had the best fit and the lowest error rate, which could be a good conclusion for widespread use and implementation in Smart City supervisory systems.

2

Its-pro-flow: a new enhanced short-term traffic flow prediction for intelligent transportation systems

Kozici Halil Ibrahim, Kosunalp Selahattin, Arucu Muhammet

Zeszyty Naukowe. Transport / Politechnika Śląska

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2023

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z. 120

117--136

EN

Short-term traffic flow prediction plays a significant role in various applications of intelligent transportation systems (ITS), such as road traffic control and route guidance. This requires the development of intelligent prediction approaches for accurate and timely traffic flow information. To handle this issue, this paper emphasizes the potential of a new idea to propose a high-quality and intelligent prediction of short-term traffic flow in ITS. The proposed model, referred to as ITS-Pro-Flow, takes the benefits of the well-known Profile-Energy (Pro-Energy) as a landmark solution, relying on past observations and current conditions to forecast future short-term traffic flow volume. ITS-Pro-Flow has an effective prediction mechanism due to its unique enhancements over Pro-Energy. The distinctive feature of ITS-Pro-Flow is that it dynamically adjusts the contributions of past predictions and current observations for a particular prediction, which is equally performed in Pro-Energy. We prove the performance of ITS-Pro-Flow through extensive simulations with 2 datasets, in comparison to Pro-Energy and IPro-Energy. Performance results clearly indicate that ITS-Pro-Flow provides more accurate predictions than other schemes.

3

Urban tidal flow noise - case study

Bąkowski Andrzej, Radziszewski Leszek

Vibrations in Physical Systems

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2023

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Vol. 34, nr 1

art. no. 2023119

EN

The study carried out an analysis of the urban traffic noise from 2011 to 2016 at Kielce (Poland). The results of noise simulations according to the Cnossos-EU model were compared with the sound level calculated by monitoring station and a very good agreement was obtained. The mean absolute error was smaller than 1 dB(A). For weekdays the charts shape at individual hours of the day were shown to be similar. However, one can notice a different shape of this charts from the morning peak on Friday to the end of the weekend and especially on Saturday and Sunday.

4

The impact of vehicle traffic volume on pedestrian behavior at unsignalized crosswalks

Fornalchyk Yevhen, Koda Eugeniusz, Kernytskyy Ivan, Hrytsun Oleh, Royko Yuriy, Bura Romana, Osiński Piotr, Barabash Ruslan, Humenuyk Ruslan, Polyansky Pavlo

Roads and Bridges - Drogi i Mosty

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2023

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Vol. 22, no. 2

201--219

EN

The research is focused on analyses of vehicle delays caused by pedestrian crosswalks on one-way streets. The study encompassed three particular locations of unsignalized crosswalks: on the street section between intersections, in the zone of intersection impact, and in the zone of intersection itself. The study revealed that the major impact on traffic jams is observed at a distance of 50-100 m from the unsignalized crosswalk. The study analyses pedestrian behavior and waiting time at such crosswalks. It was confirmed that the pedestrians did not immediately use their priority before passing. The paper presents the change in pedestrian waiting time when crossing the roadway depending on traffic flow. Based on that data, a model was prepared and simulations of pedestrian behavior at unsignalized crosswalks were performed.

PL

W pracy przestawiono analizę strat czasu przejazdu pojazdów spowodowane przez przejścia dla pieszych na ulicach jednokierunkowych. Badania obejmowały trzy różne lokalizacje przejść względem skrzyżowania: przejście na odcinku ulicy między skrzyżowaniami, przejście w obrębie strefy oddziaływania skrzyżowania oraz przejście w samej strefie skrzyżowania. Wyniki przeprowadzonych badań wykazały, że znaczący wpływ przejścia bez sygnalizacji na korki obserwuje się w odległości 50-100 m od niego. Przeanalizowano zachowanie oraz czas oczekiwania pieszych na takich przejściach. Potwierdzono, że przechodząc przez jezdnię piesi nie korzystają natychmiast z pierwszeństwa przed samochodami. W pracy przedstawiono zależność czasu oczekiwania pieszych na przejściu od natężenia ruchu pojazdów. Na podstawie uzyskanych danych przygotowano model i przeprowadzono symulacje zachowania pieszych na przejściach bez sygnalizacji.

5

Navigating the future: Evaluating two-level transport solutions for sustainable urban development

Stashkiv Mykola, Tson Oleg, Łakomy-Zinowik Marta, Basta Michał

Journal of Sustainable Development of Transport and Logistics

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2023

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Vol. 8, No. 2

91--112

EN

Purpose: The purpose of this paper is to propose and evaluate two options for two-level transport solutions at the intersection of the bypass road and the Pidvolochyske Highway in Ternopil, Ukraine. The aim is to address the issues associated with the current road network passing through residential zones and present an optimal resolution for the intersection. Methodology: The methodology involves using the PTV Vissim software to conduct simulation modelling. The transport and operational indicators of the two options for two-level transport solutions, an elongated loop and two interconnected rings, are compared across different traffic intensities. Results: The results show that the transport solution with two roundabouts exhibits superior characteristics, particularly under high traffic flow conditions. The strengths and limitations of each solution are comprehensively delineated, encompassing factors like efficiency, cost-effectiveness, safety measures, and ecological impacts. Theoretical contribution: The paper contributes to advancing knowledge and practice in two-level transport solutions. It provides valuable insights for developing the transportation system in Ternopil and other post-conflict cities. The advantages and disadvantages of public-private partnerships (PPP) as a tool for attracting investments and innovations in transportation infrastructure are also discussed. Practical implications: The findings of this research can be used by professionals in transportation, urban planning, and ecology for infrastructure development. It also serves as a valuable resource for residents of Ternopil interested in fostering improvements to their city’s quality of life.

6

On site processing of video stream for mapping traffic parameters

Pamuła Wiesław, Kłos Marcin Jacek

Zeszyty Naukowe. Transport / Politechnika Śląska

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2022

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z. 117

175--189

EN

Traffic surveillance provides crucial data for the operation of intelligent transportation systems. The growing number of cameras in the transport system poses a problem for the efficient processing of surveillance data. Processing of video data for extracting traffic parameters is usually done using image processing methods and requires substantial processing resources. An alternative way is to transform the video stream and map the traffic parameters using the obtained transform coefficients. Spatiotemporal wavelet transform of the video stream contents, using filter banks, is proposed for mapping traffic parameters. Performed tests prove good resilience to illumination changes of road scenes. Mapping errors are smaller than in the case of the commonly used video detectors at sites on multilane roads with low to moderate traffic load.

7

Estimation of traffic flow using measurements of road surface vibrations

Burdzik Rafał, Celiński Ireneusz

Roads and Bridges - Drogi i Mosty

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2022

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Vol. 21, no. 2

151--165

EN

Road traffic parameters in a selected road cross-section can be measured using various techniques. Such measurements can be made in the visible wave band, the audible frequency band or they can be based on vibrations. Most vibrations in the roadway are generated by vehicles moving in a traffic flow. This paper presents a simplified way of traffic flow measurement based on an analysis of road surface vibrations generated by vehicles. The vibrations originating from individual vehicles depend on the latter’s specifications and technical condition, as well as on the road’s pavement type, design class and condition. As part of this research an attempt at the parametrization of the traffic flow in a selected road cross-section was made using a road surface vibration analysis method. For this purpose a prototype measuring system equipped with an ADLX335 accelerometer was built. Road pavement vibration measurements acquired in this way were collated with measurement data obtained from a manual traffic recorder. The results show that the presented method is suitable for road traffic flow estimation.

PL

Pomiar parametrów ruchu drogowego w wybranym przekroju drogi zrealizowany może być z wykorzystaniem różnych technik. Pomiar może być wykonany w pasmie fal widzialnych, pasmie akustycznym lub z wykorzystaniem drgań. Większość drgań w pasie drogowym wywołują pojazdy poruszające się w strumieniu ruchu. W artykule przedstawiono sposób uproszczonego pomiaru natężenia strumienia ruchu z wykorzystaniem analizy drgań powierzchni jezdni wywoływanych przez pojazdy. Drgania pochodzące od poszczególnych pojazdów zależą od ich parametrów technicznych i stanu technicznego, jak również od rodzaju nawierzchni, klasy technicznej i stanu drogi. W artykule przedstawiono także próbę parametryzacji strumienia ruchu drogowego w wybranym przekroju drogi z wykorzystaniem metody analizy drgań nawierzchni. W tym celu użyto prototyp układu pomiarowego wyposażonego w akcelerometr ADLX335. Uzyskane w ten sposób wyniki pomiarów drgań nawierzchni zestawiono z danymi pomiarowymi z ręcznego rejestratora ruchu. Na podstawie otrzymanych wyników wykazano, że prezentowana metoda pozwala na szacowanie natężenia strumienia ruchu drogowego.

8

Saturated arterial coordinate control strategy optimization considering macroscopic fundamental diagram

Lin Xuanhua, Lin Xiaohui, Chen Kelian

Archives of Transport

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2022

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Vol. 62, iss. 2

73--90

EN

MFD is widely used in traffic state evaluation because of its description of the macro level of urban road network. Aiming at the control strategy optimization problem of urban arterial road network under saturated traffic flow state, this study analyzes the MFD characteristics of a typical three-segment "ascending-stable-descending segment" and its advantages in characterizing the macroscopic operation efficiency of the road network, a arterial coordination control strategy considering MFD is proposed. According to the characteristics of MFD, it is proposed that the slope of the ascending segment and the capacity of the road network represent the operating efficiency of the free flow and saturated flow of the road network respectively. The traffic flow and density data of road segment are obtained by the road detector through Vissim simulation software. Aiming at the problem that the MFD is too discrete due to unreasonable control strategy or traffic condition, and in order to extract the MFD optimization target indicators, it is proposed to extract the key boundary points of the MFD by the “tic-tac-toe” method and divide the MFD state by Gaussian mixture clustering. The genetic algorithm integrates the multi-objective particle swarm algorithm as the solution algorithm, and the simulation iterative process is completed through Python programming and the com interface of Vissim software. In order to verify the validity of the model and algorithm, the actual three-intersections arterial road network is used for verification, and the model in this study is compared with the optimization model without considering MFD, the model solved by traditional algebraic method, and the optimization model solved by typical multi-objective particle swarm. Results show that the model in this research performs well in efficiency indicators such as total delay, average delay, and queue coefficient. At the same time, the MFD form has highest stability, the control effect is the best in the saturated state. The solution algorithm GA-MOPSO also has a better solution effect.

9

Traffic flow prediction in inland waterways of Assam region using uncertain spatiotemporal correlative features

Muthukumaran Venkatesan, Natarajan Rajesh, Kaladevi Amarakundhi Chandrasekaran, Magesh Gopu, Babu Swapna

Acta Geophysica

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2022

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Vol. 70, no 6

2979--2990

EN

Modern civilization has reported a significant rise in the volume of traffic on inland rivers all over the globe. Traffic flow prediction is essential for a good travel experience, but adequate computer processes for processing unpredictable spatiotemporal data (timestamp, weather, vessel_ID, water level, vessel_position, vessel_speed) in the inland water transportation industry are lacking. Moreover, such type of prediction relies primarily on past traffic patterns and perhaps other pertinent facts. Thus, we propose a deep learning-based computing process, namely Convolution Neural Network-Long Short-Term Memory Network (CNN-LSTM), a progressive predictor of employing uncertain spatiotemporal information to decrease navigation mishaps, traffic and flow prediction failures during transportation. Spatiotemporal correlation of current traffic flow may be processed using a simplified CNN-LSTM model. This hybridized prediction technique decreases update costs and meets the prediction needs with minimal computing overhead. A short case study on the waterways of the Indian state of Assam from Sandiya (27.835090 latitude, 95.658590 longitude) to Dhubri (26.022699 latitude, 89.978401 longitude) is undertaken to assess the model's performance. The evaluation of the suggested method includes a variety of trajectories of water transportation vehicles, including ferries, sailing boats, container ships, etc. The suggested approach outperforms conventional traffic flow predicting methods when it comes to short-term prediction with minimal predictive error (<2.75) and exhibited a major difference of more than 45% on the comparison of other methods.

10

Performance analysis of LSTM model with multi-step ahead strategies for a short-term traffic flow prediction

Doğan Erdem

Zeszyty Naukowe. Transport / Politechnika Śląska

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2021

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z. 111

15--31

EN

In this study, the effect of direct and recursive multi-step forecasting strategies on the short-term traffic flow forecast performance of the Long Short-Term Memory (LSTM) model is investigated. To increase the reliability of the results, analyses are carried out with various traffic flow data sets. In addition, databases are clustered using the k-means++ algorithm to reduce the number of experiments. Analyses are performed for different time periods. Thus, the contribution of strategies to LSTM was examined in detail. The results of the recursive based strategy performances are not satisfactory. However, different versions of the direct strategy performed better at different time periods. This research makes an important contribution to clarifying the compatibility of LSTM and forecasting strategies. Thus, more efficient traffic flow prediction models will be developed and systems such as Intelligent Transportation System (ITS) will work more efficiently. A practical implication for researchers that forecasting strategies should be selected based on time periods.

11

Drivers' tendencies to engage in aberrant driving behaviors that violate traffic regulations in Kuwait

Shehab Mahdi, Alkandari Dawood

Transport Problems

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2021

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T. 16, z. 1

19--28

EN

Several abnormal driving behaviors in violation of traffic rules can be observed on the road network in Kuwait. These behaviors would likely hinder traffic flow and can worsen traffic congestion. These behaviors may also cause simulation model outputs to deviate from actual traffic conditions. Such aberrant behaviors have not been addressed in the literature, either in terms of the rate of occurrence or in terms of the factors influencing drivers’ engagement in these behaviors. This study sheds light on drivers' tendencies to engage in five maneuvers that fall into the category of behaviors that violate traffic rules and could have detrimental effects on traffic conditions in Kuwait. The tendencies of drivers to engage in such behaviors were elicited through self- report questionnaires. The study found that a significant number of drivers in Kuwait display these driving behaviors. The effects of driver gender, driver age, and annual driving distance on the tendency of drivers to engage in such behaviors were investigated.

12

Choice of the rational regimes of traffic light control for traffic and pedestrian flows

Fornalchyk Yevhen, Kernytskyy Ivan, Hrytsun Oleh, Royko Yuriy

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

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2021

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Vol. 30, No. 1

38--50

EN

The method for the choice of rational regimes of traffic light control is developed based on the minimization of the number of violations the requirements of traffic light signals by pedestrians depending on the volume-capacity ratio of traffic lanes and control of vehicular queue on the approach to the stop-line. Assessment of rationality is carried out considering the simultaneous impact of such factors as roadway volume-capacity ratio, traffic light restrictive signal duration, the number of violations of the traffic rules by pedestrians, and maximal queue length of vehicles. The model of the change of the number of violations of the rules of crossing the roadway by pedestrians depending on the volume-capacity ratio of different intersection types is developed in this paper. The model of determining the maximal vehicular queue length before intersections depending on the volume-capacity ratio and the share of the restrictive signal on the lane in the control cycle is developed. Recommendations about the choice of rational regimes of traffic light control depending on traffic delay, planning parameters of the road network, and pedestrian behavior are proposed.

13

Analysis and comparison of long short-term memory networks short-term traffic prediction performance

Dogan Erdem

Zeszyty Naukowe. Transport / Politechnika Śląska

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2020

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z. 107

19--32

EN

Long short-term memory networks (LSTM) produces promising results in the prediction of traffic flows. However, LSTM needs large numbers of data to produce satisfactory results. Therefore, the effect of LSTM training set size on performance and optimum training set size for short-term traffic flow prediction problems were investigated in this study. To achieve this, the numbers of data in the training set was set between 480 and 2800, and the prediction performance of the LSTMs trained using these adjusted training sets was measured. In addition, LSTM prediction results were compared with nonlinear autoregressive neural networks (NAR) trained using the same training sets. Consequently, it was seen that the increase in LSTM's training cluster size increased performance to a certain point. However, after this point, the performance decreased. Three main results emerged in this study: First, the optimum training set size for LSTM significantly improves the prediction performance of the model. Second, LSTM makes short-term traffic forecasting better than NAR. Third, LSTM predictions fluctuate less than the NAR model following instant traffic flow changes.

14

Inland water transport applicability for sustainable sea port hinterland infrastructure development. Klaipeda Sea-Port case

Malkus Ričardas, Liebuvienė Jūratė, Jokubyniėnė Vida

Transport Problems

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2020

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T. 15, z. 2

25--31

EN

The aim of this paper is to present an analysis of the main factors influencing negatively Klaipeda Sea Port performance and competitiveness as well as their limiting impact on the development of this transport system entity in general. This case study research is proposing some alternative solutions decreasing negative influences of comparatively declining land transport infrastructure connectivity to the Sea Port hinterland. Analysis of hinterland connectivity is based on the extended gate concept, where a series of terminals and related logistical activities are integrated into a functional single entity. The intensity of real road transport flows on the main connecting road intersections has been evaluated using digital tools with input data from the ArcGIS platform. Also, accessibility to other terminals (at the local, regional and global scale) as well as the terminal is linkage to the regional transport system has been taken into account. One of the objectives of this research was to define objectively the state of traffic flow on the highway connecting Klaipeda sea-port to its hinterland because the road infrastructure was not qualitatively improved for a long period, while the average annual seaport turnover is constantly growing by 6% - 9%. Secondly, it was defined how substantially is possible to decrease the load of road traffic in case of reestablishing of an inland waterway connection between practically the same points of the transport route. Using mathematical modeling of traffic flows is proved that, road transport highway connection in/from the Klaipeda Seaport is loaded substantially and requires systemic improvement (building at least additional lanes in both directions, etc.) to promote further growth of Klaipeda sea-port capacities. The option to apply an additional inland waterway connection allows to decrease the road traffic flow up to 9 – 11% with the possible development of this option, what in its’ turn also decrease the negative influence on the environment.

15

Odporny system sterowania ruchem drogowym bazujący na optymalizacji wielokryterialnej

Cieślewicz Dobrosław

Pomiary Automatyka Robotyka

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2020

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R. 24, nr 4

11--18

PL

Model matematyczny jest uproszczonym odwzorowaniem pewnych zjawisk, które uwzględnia jedynie cechy istotne. W dzisiejszych czasach coraz większym problemem stają się przeciążone infrastruktury drogowe, szczególnie w większych ośrodkach miejskich. Problem ten można w pewnym stopniu zredukować, stosując zaawansowane algorytmy sterowania. W niniejszym artykule podjęto próbę sterowania przepływem ruchu drogowego w skali makroskopowej. W tym celu użyto adaptacji dyskretnego, nieliniowego modelu matematycznego. Przy wykorzystaniu środowiska programistycznego MATLAB opracowano i zoptymalizowano układ sterowania niewielką siecią komunikacyjną. Następnie, zakładając przykładowy scenariusz, przeprowadzono dla tej sieci badania symulacyjne.

EN

The mathematical model is a simplified representation of certain phenomena, which takes into account only the essential features. Nowadays, congested road infrastructures are becoming a growing problem, especially in larger urban centres. This problem can be somewhat reduced by using advanced control algorithms. This article attempts to control the traffic flow on a macroscopic scale. For this purpose, a discrete, nonlinear mathematical model was adopted. Using the MATLAB programming environment, a control system for a small communication network was developed and optimised. Then, assuming a sample scenario, simulation studies were conducted for this network.

16

Comparison of traffic flow characteristics of signal controlled intersection and turbo roundabout

Kalašová Alica, Skřivánek Kubíková Simona, Čulík Kristián, Palúch Ján

Archiwum Motoryzacji

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2020

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Vol. 88, nr 2

19--36

EN

In the Slovak republic, there is an increase of building roundabouts in both urban and non-build-up areas. The construction of roundabouts in urban areas brings mainly calming of traffic intensity. A roundabout in non-build-up areas could be built only within certain conditions. In this paper, we have been studying a small roundabout location and its traffic characteristics in the city of Hlohovec. In some cases, a small roundabout could be very good solution for exceeded traffic flow capacity of signal controlled intersections as well as for intersections with a high number of traffic incidents. But in our case, a small roundabout is not suitable for such intensity of vehicles as we measured in transport survey. So we focused on other possibilities how to improve this current situation. We have decided to make a proposal of signal controlled intersection as well as a turbo roundabout and compare the results of traffic characteristics of each proposal. We have made several simulations of each variant of traffic situation, using transport-planning software Aimsun, and calculate average values of all recorded traffic characteristics. As inputs, we have used intensities and other basic data obtained from transport survey. Using simulations outputs of transport planning software, we have been able to compare a current state with signal controlled intersection and turbo roundabout. Traffic characteristics of turbo roundabout show significant improvements compare to signal controlled intersection, f.e. in delay time (more than 68%), travel time (more than 22%), number of stops (more than 73%). Turbo roundabout seems to be the best solution for traffic organising at this chosen intersection in the city of Hlohovec, regarding travel time, delays, number of stops and safety at all.

17

Explicit and implicit description of the factors impact on the NO2 concentration in the traffic corridor

Kamińska Joanna Amelia, Turek Tomasz

Archives of Environmental Protection

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2020

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Vol. 46, no. 1

93--99

EN

High concentrations of nitrogen dioxide in the air, particularly in heavily urbanized areas, have an adverse effect 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 fit (R2 from 0.32 to 0.57). Verification of models on independent material from the first 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 traffic flow. In prediction of maximal daily concentration, air temperature and air humidity take on greater importance. Prevailing westerly and south-westerly winds in Wrocław effectively 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.

PL

Celem pracy jest zbadanie możliwości prognozowania dziennego stężenia NO2 za pomocą metody losowego lasu – RF i porównanie wyników z wielowymiarową regresją liniową (LR) w oparciu o ten sam zestaw danych. Ponadto zbadano wpływ zwiększenia interpretowalności modelu na jego dokładność. W pracy przedstawiono dwie metody modelowania dziennych wartości minimalnych, średnich oraz maksymalnych stężeń NO2 w aglomeracji miejskiej: wielowymiarowa regresja liniowa (LR) oraz losowy las (RF). Wykazano, że metoda Lasu Losowego (Random Forest) może być skutecznie wykorzystywana do przewidywania dziennych wartości stężenia NO2. Największą dokładność otrzymano dla przewidywania średnich wartości dziennych stężenia z R2=0.69 oraz RMSE=7.47 μg/m3. Kosztem otrzymania jawnej postaci funkcji w modeli liniowym (LR) jest znacząco niższa dokładność przewidywania wartości stężenia (R2 od 0.32 do 0.57). Weryfikacja modeli na niezależnym materiale z pierwszej połowy 2018 roku potwierdziła poprawność modeli ze średnim błędem względnym dla średnich wartości dobowych stężeń równym 16.5% dla RF oraz 28% dla LR. Największy wpływ na stężenia NO2 w kanionie komunikacyjnym ma wiatr oraz natężenie ruchu. W modelowaniu maksymalnych wartości dobowych nabierają znaczenia temperatura powietrza oraz wilgotność względna powietrza. Przeważające zachodnie i północno-zachodnie wiatry we Wrocławiu skutecznie realizują koncepcję przewietrzania miasta w zakresie rozważanego skrzyżowania.

18

A model of transit freight distribution on a railway network

Kozachenko Dmytro, Skalozub Vladyslav, Gera Bogdan, Hermaniuk Yuliia, Korobiova Ruslana, Gorbova Aleksandra

Transport Problems

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2019

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T. 14, z. 3

17--26

EN

The peculiarity of the transit freight transportation by rail in international traffic is the fact that while performing transportation, the railway administrations are in competition among themselves. At the same time, the routes of cargo traffic volumes significantly depend on the conditions of transportation by railways of individual states. The mathematical model for the distribution of transit freight traffic volumes on the railway network, based on the methods of graph theory and game theory, was proposed in this article. The developed model enables the evaluation of the possibilities of attracting transit freight traffic volumes by individual railway administrations by changing the tariff value and transportation conditions.

19

Determining NO2 immission levels in a conflicted area: Riobamba, Ecuador

Paredes Marcel, Viteri Rafaela, Auqui Dayana, Idrovo David

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

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2019

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Vol. 28, No. 3

465--475

EN

Riobamba has areas with high vehicular influence. For the determination of nitrogen dioxide concentrations, passive samplers were used, which were placed at points throughout the domain. The concentrations obtained in the field were interpolated with the information generated with the model traffic emissions software, estimating the relationship between vehicular traffic and the presence of gas. Allow to know the amount of pollutants that breathe about 250 pedestrians on average in the area.

20

How to establish and operate cross-border public transport in a peripheral rural area? The example of the Central and Southern section of the border between Austria and Hungary

Oszter Vilmos

Prace Komisji Geografii Komunikacji PTG

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2019

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nr 22(1)

52--65

EN

Based on the Interreg Central Europe Territorial cooperation Programme’s CONNECT2CE project the current paper analyses the existing passenger traffic flow across the border which is among the TOP10 busiest border section of the EU. It provides an overview of the main socio-economic characteristic of the peripheral border area and identifies the factors which are leading to the continuous growth of cross-border traffic. Based on previous research and travel surveys it collects the past service attempts offered to tap the growing cross-border travel demand. It also presents the most recent passenger counts and relational (Origin-Destination O-D) ticketing statistic in order to get precise knowledge about the usage level of the existing service which helps to understand the rapidly changing mobility patterns and spatial structure. Finally, it takes into account the existing EU conform legal and organisational challenges for offering competitive public transport services on a cross-border route and proposes two new solutions as a contributionto achieve a sustainable modal shift towards public transport in the peripheral border area.