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Prof. Irena Ištoka Otković
Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek

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0 Neural Networks
0 Traffic Simulation
0 Urban Traffic Modelling
0 Road and intersection design
0 pedestrians

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Journal article
Published: 08 July 2021 in Accident Analysis & Prevention
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Smartphones are nowadays indispensable devices in daily life. Their rapid technological development makes it possible to have almost all necessary information on them, which facilitates their spread among all users. However, this extensive use has led to many distraction problems while performing other main tasks, such as activities on the road, which can also impact people's safety. Therefore, various experts focused their attention on issues related to drivers looking at their mobile phones; recently, researchers from different disciplines saw the need to deepen knowledge also on the phenomenon of vulnerable road users distracted by digital devices, especially when approaching signalized intersections. This study builds on and seeks to extend this area of research by analyzing the effects of digital distraction on pedestrians as they approach unsignalised intersections located on roundabout entrances and exits. The aim of the research is to understand the extent to which the task of checking social media affects pedestrian reaction and crossing times, as well as to identify which elements attract the most pedestrian attention. To achieve this goal, an eye-tracking study was designed, in which participants wearing eye-tracking glasses were asked to walk a predefined route, once checking their social media apps and once walking without distracting technological elements. The results showed an 84% increase in reaction time when using the phone, while only a slight rise in crossing time was found. The general conclusions about the most observed elements when walking are also consistent with the main findings of previous literature studies.

ACS Style

Chiara Gruden; Irena Ištoka Otković; Matjaž Šraml. Pedestrian safety at roundabouts: Their crossing and glance behavior in the interaction with vehicular traffic. Accident Analysis & Prevention 2021, 159, 106290 .

AMA Style

Chiara Gruden, Irena Ištoka Otković, Matjaž Šraml. Pedestrian safety at roundabouts: Their crossing and glance behavior in the interaction with vehicular traffic. Accident Analysis & Prevention. 2021; 159 ():106290.

Chicago/Turabian Style

Chiara Gruden; Irena Ištoka Otković; Matjaž Šraml. 2021. "Pedestrian safety at roundabouts: Their crossing and glance behavior in the interaction with vehicular traffic." Accident Analysis & Prevention 159, no. : 106290.

Research article
Published: 28 June 2021 in Journal of Advanced Transportation
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Children pedestrians represent road users with some specifics because of which it is important to study and take into account their traffic behaviour when traffic infrastructure is designed. Design should ensure and enhance their traffic safety because for decades, traffic accidents have been among the first few causes of children and adolescent mortality. Pedestrian speed is one of the important inputs when pedestrian infrastructure, especially crosswalks, is designed. On corridors where children are expected on a daily basis as independent pedestrians, the infrastructure should be adjusted to their characteristics and needs. The results of a study conducted in two Croatian cities of a similar size but of different urban and traffic conditions are presented in this paper. This study aimed at establishing and analysing children’s pedestrian speed while crossing the signalized crosswalk in the buffer area of elementary schools, mostly on primary roads in the school vicinity. Children aged 5–15 were observed, and accordingly V15, V50, and V85 speeds were established on the basis of altogether 600 measurements. Speed was established for children walking individually, in a group and supervised by adults, and of a different age, and based on their gender, the impact of infrastructural elements on their speed in traffic was also analysed. Significant differences were found between children’s speed measured in similar conditions in analysed cities and between some of the analysed groups. This fact proves that when improving conditions for children’s independent movement, it is important to consider their specifics in order to ensure safe design adjusted to children’s needs and limitations. As design speed in this paper, 15 percentile speed (V15) is considered. Suggestions on how to establish children pedestrian speed for design of routes regularly used by school children are proposed as well as some inputs elicited from the study done in Croatia are presented.

ACS Style

Irena Ištoka Otković; Aleksandra Deluka-Tibljaš; Sanja Šurdonja. Analysis of Children’s Traffic Behaviour at Signalized Crosswalks as a Precondition for Safe Children Routes Design: A Case Study from Croatia. Journal of Advanced Transportation 2021, 2021, 1 -14.

AMA Style

Irena Ištoka Otković, Aleksandra Deluka-Tibljaš, Sanja Šurdonja. Analysis of Children’s Traffic Behaviour at Signalized Crosswalks as a Precondition for Safe Children Routes Design: A Case Study from Croatia. Journal of Advanced Transportation. 2021; 2021 ():1-14.

Chicago/Turabian Style

Irena Ištoka Otković; Aleksandra Deluka-Tibljaš; Sanja Šurdonja. 2021. "Analysis of Children’s Traffic Behaviour at Signalized Crosswalks as a Precondition for Safe Children Routes Design: A Case Study from Croatia." Journal of Advanced Transportation 2021, no. : 1-14.

Journal article
Published: 24 June 2021 in Land
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Spatial and traffic planning is important in order to achieve a quality, safe, functional, and integrated urban environment. Different tools and expert models were developed that are aimed at a more objective view of the consequences of reconstruction in different spatial and temporal ranges while respecting selection criteria. In this paper we analyze the application of the multi-criteria analysis method when choosing sustainable traffic solutions in the center of a small town, in this case Belišće, Croatia. The goal of this paper is to examine the possibility of improving the methodology for selecting an optimal spatial–traffic solution by combining the quantifiable results of the traffic microsimulation and the method of multi-criteria optimization. Socially sensitive design should include psychological and social evaluation criteria that are included in this paper as qualitative spatial–urban criteria. In the optimization process, different stakeholder groups (experts, students, and citizens) were actively involved in evaluating the importance of selected criteria. The analysis of stakeholders’ survey results showed statistically significant differences in criteria preference among three groups. The AHP (Analytic Hierarchy Process) multi-criteria analysis method was used; a total of five criteria groups (functional, safety, economic, environmental, and spatial–urban) were developed, which contain 21 criteria and 7 sub-criteria; and the weights of criteria groups were varied based on stakeholders’ preferences. The application of the developed methodology enabled the selection of an optimal solution for the improvement of traffic conditions in a small city with the potential to also be applied to other types of traffic–spatial problems and assure sustainable traffic planning.

ACS Style

Irena Ištoka Otković; Barbara Karleuša; Aleksandra Deluka-Tibljaš; Sanja Šurdonja; Mario Marušić. Combining Traffic Microsimulation Modeling and Multi-Criteria Analysis for Sustainable Spatial-Traffic Planning. Land 2021, 10, 666 .

AMA Style

Irena Ištoka Otković, Barbara Karleuša, Aleksandra Deluka-Tibljaš, Sanja Šurdonja, Mario Marušić. Combining Traffic Microsimulation Modeling and Multi-Criteria Analysis for Sustainable Spatial-Traffic Planning. Land. 2021; 10 (7):666.

Chicago/Turabian Style

Irena Ištoka Otković; Barbara Karleuša; Aleksandra Deluka-Tibljaš; Sanja Šurdonja; Mario Marušić. 2021. "Combining Traffic Microsimulation Modeling and Multi-Criteria Analysis for Sustainable Spatial-Traffic Planning." Land 10, no. 7: 666.

Journal article
Published: 15 April 2021 in Sustainability
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Smartphones have become an integral part of our everyday lives and keep us busy while doing other primary activities such as driving, cycling or walking in traffic. The problem of digital distraction among drivers has been largely addressed, and interest is growing also on vulnerable road users as well. In fact, high percentages of pedestrians and cyclists are accustomed to checking their devices while moving in traffic. This research links to the presented theme and aims to investigate the extent to which digital distraction in the form of social media app checking influences pedestrian behavior. The focus of the study is specifically on signalized intersections. An outdoor, eye-tracking experiment was conducted on a specific route consisting of various elements typical of urban areas. Participants were asked to walk the predefined route twice, encountering three signalized intersections: the first time they were asked to walk with their smartphone in hand, the second time without. The recordings of each participant’s route were then analyzed, examining reaction time, crossing time and speed, fixations and gaze paths. The results show a clear impact of digital devices on pedestrians’ attention by increasing their reaction and crossing times and decreasing crossing speeds. In addition, the analysis of fixations found that 82.54% of the time was devoted to the smartphone, while interest in other street elements decreased from 16.64% to 4.03%.

ACS Style

Chiara Gruden; Irena Ištoka Otković; Matjaž Šraml. Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study. Sustainability 2021, 13, 4419 .

AMA Style

Chiara Gruden, Irena Ištoka Otković, Matjaž Šraml. Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study. Sustainability. 2021; 13 (8):4419.

Chicago/Turabian Style

Chiara Gruden; Irena Ištoka Otković; Matjaž Šraml. 2021. "Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study." Sustainability 13, no. 8: 4419.

Preprint
Published: 16 March 2021
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Smartphones have become an integral part of our everyday lives and keep us busy while doing other primary activities such as driving, cycling or walking in traffic. The problem of digital distraction among drivers has been largely addressed, and interest is growing also on vulnerable road users as well: In fact, high percentages of pedestrians and cyclists are accustomed to checking their devices while moving in traffic. This research links to the presented theme and aims to investigate the extent to which digital distraction in the form of social media app checking influences pedestrian behavior. The focus of the study is specifically on signalized intersections. An outdoor, eye-tracking experiment was conducted on a specific route consisting of various elements typical of urban areas. Participants were asked to walk the predefined route twice, en-countering three signalized intersections: the first time they were asked to walk with their smartphone in hand, the second time without. The recordings of each participant's route were then analyzed, examining reaction time, crossing time and speed, fixations, and gaze paths. The results show a clear impact of digital devices on pedestrians' attention by increasing their reaction and crossing times and decreasing crossing speeds. In addition, the analysis of fixations found that 82.54% of the time was devoted to the smartphone, while interest in other street ele-ments decreased from 16.64% to 4.03%.

ACS Style

Chiara Gruden; Irena Ištoka Otković; Matjaž Šraml. Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study. 2021, 1 .

AMA Style

Chiara Gruden, Irena Ištoka Otković, Matjaž Šraml. Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study. . 2021; ():1.

Chicago/Turabian Style

Chiara Gruden; Irena Ištoka Otković; Matjaž Šraml. 2021. "Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study." , no. : 1.

Journal article
Published: 18 January 2021 in Safety
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Children pedestrians make up 30% of the total number of children injured in road traffic in the EU. Research shows that children are injured more often in the urban areas, in residential areas near schools and parks, often at intersections and pedestrian crossings. In this study, children’s traffic behavior was analyzed by observation of signalized pedestrian crosswalks. According to the same methodology, the research was conducted in three cities in two countries (Enna, Italy, Osijek and Rijeka, Croatia) with different urban and traffic characteristics. A total of 900 measurements were analyzed, 300 in each of the cities at 18 pedestrian crosswalks located in an urban setting in the vicinity of primary schools. A detailed statistical analysis of the influence parameters shows that, as general influence parameters, pedestrian crosswalk length, movement in a group and the age of children can be distinguished. Factors that have proven to have a significant influence on the movement of children in two of the three cities observed are gender, supervision by adults, running and cellphone use. The result can serve as a valuable input for interventions in traffic education as well as a basis for the improvement of traffic conditions at intersections where children are regularly present.

ACS Style

Aleksandra Deluka-Tibljaš; Irena Ištoka Otković; Tiziana Campisi; Sanja Šurdonja. Comparative Analyses of Parameters Influencing Children Pedestrian Behavior in Conflict Zones of Urban Intersections. Safety 2021, 7, 5 .

AMA Style

Aleksandra Deluka-Tibljaš, Irena Ištoka Otković, Tiziana Campisi, Sanja Šurdonja. Comparative Analyses of Parameters Influencing Children Pedestrian Behavior in Conflict Zones of Urban Intersections. Safety. 2021; 7 (1):5.

Chicago/Turabian Style

Aleksandra Deluka-Tibljaš; Irena Ištoka Otković; Tiziana Campisi; Sanja Šurdonja. 2021. "Comparative Analyses of Parameters Influencing Children Pedestrian Behavior in Conflict Zones of Urban Intersections." Safety 7, no. 1: 5.

Journal article
Published: 14 January 2021 in Sustainability
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Modeling the behavior of pedestrians is an important tool in the analysis of their behavior and consequently ensuring the safety of pedestrian traffic. Children pedestrians show specific traffic behavior which is related to cognitive development, and the parameters that affect their traffic behavior are very different. The aim of this paper is to develop a model of the children-pedestrian’s speed at a signalized pedestrian crosswalk. For the same set of data collected in the city of Osijek—Croatia, two models were developed based on neural network and multiple linear regression. In both cases the models are based on 300 data of measured children speed at signalized pedestrian crosswalks on primary city roads located near a primary school. As parameters, both models include the selected traffic infrastructure features and children’s characteristics and their movements. The models are validated on data collected on the same type of pedestrian crosswalks, using the same methodology in two other urban environments—the city of Rijeka, Croatia and Enna in Italy. It was shown that the neural network model, developed for Osijek, can be applied with sufficient reliability to the other two cities, while the multiple linear regression model is applicable with relatively satisfactory reliability only in Rijeka. A comparative analysis of the statistical indicators of reliability of these two models showed that better results are achieved by the neural network model.

ACS Style

Irena Otković; Aleksandra Deluka-Tibljaš; Sanja Šurdonja; Tiziana Campisi. Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks. Sustainability 2021, 13, 777 .

AMA Style

Irena Otković, Aleksandra Deluka-Tibljaš, Sanja Šurdonja, Tiziana Campisi. Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks. Sustainability. 2021; 13 (2):777.

Chicago/Turabian Style

Irena Otković; Aleksandra Deluka-Tibljaš; Sanja Šurdonja; Tiziana Campisi. 2021. "Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks." Sustainability 13, no. 2: 777.

Journal article
Published: 02 July 2020 in Sustainability
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Walking is the original form of transportation, and pedestrians have always made up a significant share of transportation system users. In contrast to motorized traffic, which has to move on precisely defined lanes and follow strict rules, pedestrian traffic is not heavily regulated. Moreover, pedestrians have specific characteristics—in terms of size and protection—which make them much more vulnerable than drivers. In addition, the difference in speed between pedestrians and motorized vehicles increases their vulnerability. All these characteristics, together with the large number of pedestrians on the road, lead to many safety problems that professionals have to deal with. One way to tackle them is to model pedestrian behavior using microsimulation tools. Of course, modeling also raises questions of reliability, and this is also the focus of this paper. The aim of the present research is to contribute to improving the reliability of microsimulation models for pedestrians by testing the possibility of applying neural networks in the model calibration process. Pedestrian behavior is culturally conditioned and the adaptation of the model to local specifics in the calibration process is a prerequisite for realistic modeling results. A neural network is formulated, trained and validated in order to link not-directly measurable model parameters to pedestrian crossing time, which is given as output by the microsimulation tool. The crossing time of pedestrians passing the road on a roundabout entry leg has been both simulated and calculated by the network, and the results were compared. A correlation of 94% was achieved after both training and validation steps. Finally, tests were performed to identify the main parameters that influence the estimated crossing time.

ACS Style

Chiara Gruden; Irena Otković; Matjaž Šraml. Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time. Sustainability 2020, 12, 5355 .

AMA Style

Chiara Gruden, Irena Otković, Matjaž Šraml. Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time. Sustainability. 2020; 12 (13):5355.

Chicago/Turabian Style

Chiara Gruden; Irena Otković; Matjaž Šraml. 2020. "Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time." Sustainability 12, no. 13: 5355.

Journal article
Published: 05 May 2020 in Safety
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Traffic accident statistics in urban areas, both locally in Croatia and at the European level, identify children as a group of vulnerable road users. The analysis of the parameters that influence the interaction of child pedestrians and other road users requires special attention. This paper presents the results of research about the reaction time of children, measured both in laboratory conditions, via a computer reaction time test, and in actual traffic conditions. The results of the reaction time test in a situation with expected stimuli (a computer test) of children aged 6 to 10 years were compared with the results of the reaction time of adult traffic participants, drivers, who also took part in the computer test. Standard deviations of the reaction times between the control group (drivers, adults) and each subgroup of children were significantly different (p < 0.05). The results suggest that the largest developmental jump occurs between preschool children and first-grade children. In actual traffic conditions, the reaction time of children aged 4 to 16 years at the signalized intersection was measured. The model for predicting the reaction time of children in real traffic conditions was created using a neural network. The model prediction results matched well with the values measured in actual traffic conditions, for the observed intersection (correlation coefficient is 94.56%) and for the validation intersection (correlation coefficient is 92.29%). Parameters influencing children’s reaction times in real traffic conditions were identified by applying both statistical analysis and the neural network model developed. Using both methods, the same key distractors were identified—the movement of children in the group and the use of mobile phones. The case study was conducted at selected signalized intersections in the city of Osijek, Croatia.

ACS Style

Irena Ištoka Otković. A Model to Predict Children’s Reaction Time at Signalized Intersections. Safety 2020, 6, 22 .

AMA Style

Irena Ištoka Otković. A Model to Predict Children’s Reaction Time at Signalized Intersections. Safety. 2020; 6 (2):22.

Chicago/Turabian Style

Irena Ištoka Otković. 2020. "A Model to Predict Children’s Reaction Time at Signalized Intersections." Safety 6, no. 2: 22.

Journal article
Published: 20 March 2020 in Transportation Research Procedia
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One of the most common applications of microsimulation traffic modeling is an analysis of the impact of construction or reconstruction of traffic facilities/infrastructure, as well as changes in traffic regulation to the observed traffic network, still in the planning stage. Having in mind that the functioning of the transport system is influenced by variable human behavior, which is, among other things, territorially and culturally conditioned, the microsimulation model must be calibrated or adjusted to the local characteristics of the transport network and its users. The method of calibration of the VISSIM microsimulation model, by using neural networks, was developed on the urban transport network of the city of Osijek (Croatia). Validation procedures on the other intersections of the same transport network (in the city Osijek) gave results which correspond well to those measured in actual traffic conditions. This paper presents the results of the validation of the calibration procedure on the new transport network of the city of Rijeka, with significantly different characteristics of the transport network as well as the different behavior of drivers. VISSIM microsimulation model was calibrated by the use of neural networks and applied to simulate the change of the selected road to the pedestrian zone at a given time in the urban traffic network of Rijeka. The simulation results were compared with results achieved at the field in the situation of the actual closing of the observed road. Analysis of the results gives a basic insight into the applicability of method of calibration of the VISSIM microsimulation model to the urban transport network with different characteristics of the transport network and the user on which the calibration method has been developed.

ACS Style

Irena Ištoka Otković; Aleksandra Deluka-Tibljaš; Sanja Šurdonja. Validation of the calibration methodology of the micro-simulation traffic model. Transportation Research Procedia 2020, 45, 684 -691.

AMA Style

Irena Ištoka Otković, Aleksandra Deluka-Tibljaš, Sanja Šurdonja. Validation of the calibration methodology of the micro-simulation traffic model. Transportation Research Procedia. 2020; 45 ():684-691.

Chicago/Turabian Style

Irena Ištoka Otković; Aleksandra Deluka-Tibljaš; Sanja Šurdonja. 2020. "Validation of the calibration methodology of the micro-simulation traffic model." Transportation Research Procedia 45, no. : 684-691.

Editorial
Published: 15 April 2019 in Journal of Advanced Transportation
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ACS Style

Tomaž Tollazzi; Raffaele Mauro; Daiva Žilionienė; Irena I. Otković; Nikiforos Stamatiadis. Modern Roundabouts: A Challenge of the Future. Journal of Advanced Transportation 2019, 2019, 1 -2.

AMA Style

Tomaž Tollazzi, Raffaele Mauro, Daiva Žilionienė, Irena I. Otković, Nikiforos Stamatiadis. Modern Roundabouts: A Challenge of the Future. Journal of Advanced Transportation. 2019; 2019 ():1-2.

Chicago/Turabian Style

Tomaž Tollazzi; Raffaele Mauro; Daiva Žilionienė; Irena I. Otković; Nikiforos Stamatiadis. 2019. "Modern Roundabouts: A Challenge of the Future." Journal of Advanced Transportation 2019, no. : 1-2.

Journal article
Published: 02 July 2017 in Elektronički časopis građevinskog fakulteta Osijek
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ACS Style

Tatjana Timko; Irena Ištoka Otković. COMPARISON OF DIFFERENT HELIPORT SOLUTIONS FOR THE CLINICAL HOSPITAL CENTER IN OSIJEK. Elektronički časopis građevinskog fakulteta Osijek 2017, 58 -67.

AMA Style

Tatjana Timko, Irena Ištoka Otković. COMPARISON OF DIFFERENT HELIPORT SOLUTIONS FOR THE CLINICAL HOSPITAL CENTER IN OSIJEK. Elektronički časopis građevinskog fakulteta Osijek. 2017; ():58-67.

Chicago/Turabian Style

Tatjana Timko; Irena Ištoka Otković. 2017. "COMPARISON OF DIFFERENT HELIPORT SOLUTIONS FOR THE CLINICAL HOSPITAL CENTER IN OSIJEK." Elektronički časopis građevinskog fakulteta Osijek , no. : 58-67.

Journal article
Published: 01 January 2017 in Procedia Engineering
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ACS Style

Mario Galic; Ivana Barišić; Irena Ištoka Otković. Route Reliability Based Simulation Model for HMA Delivery in Urban Areas. Procedia Engineering 2017, 187, 378 -386.

AMA Style

Mario Galic, Ivana Barišić, Irena Ištoka Otković. Route Reliability Based Simulation Model for HMA Delivery in Urban Areas. Procedia Engineering. 2017; 187 ():378-386.

Chicago/Turabian Style

Mario Galic; Ivana Barišić; Irena Ištoka Otković. 2017. "Route Reliability Based Simulation Model for HMA Delivery in Urban Areas." Procedia Engineering 187, no. : 378-386.

Journal article
Published: 01 December 2016 in Energy and Buildings
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ACS Style

Hrvoje Krstić; Irena Ištoka Otković; Piotr Kosiński; Robert Wójcik. Validation of neural network model for predicting airtightness of residential and non-residential units in Poland. Energy and Buildings 2016, 133, 423 -432.

AMA Style

Hrvoje Krstić, Irena Ištoka Otković, Piotr Kosiński, Robert Wójcik. Validation of neural network model for predicting airtightness of residential and non-residential units in Poland. Energy and Buildings. 2016; 133 ():423-432.

Chicago/Turabian Style

Hrvoje Krstić; Irena Ištoka Otković; Piotr Kosiński; Robert Wójcik. 2016. "Validation of neural network model for predicting airtightness of residential and non-residential units in Poland." Energy and Buildings 133, no. : 423-432.

Journal article
Published: 23 December 2015 in Elektronički časopis građevinskog fakulteta Osijek
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ACS Style

Ivan Kolak; Irena Ištoka Otković; Ivana Barišić. USING A MICROSIMULATION TRAFFIC MODEL TO COMPARE TWO-LANE AND TURBO-ROUNDABOUTS. Elektronički časopis građevinskog fakulteta Osijek 2015, 71 -80.

AMA Style

Ivan Kolak, Irena Ištoka Otković, Ivana Barišić. USING A MICROSIMULATION TRAFFIC MODEL TO COMPARE TWO-LANE AND TURBO-ROUNDABOUTS. Elektronički časopis građevinskog fakulteta Osijek. 2015; ():71-80.

Chicago/Turabian Style

Ivan Kolak; Irena Ištoka Otković; Ivana Barišić. 2015. "USING A MICROSIMULATION TRAFFIC MODEL TO COMPARE TWO-LANE AND TURBO-ROUNDABOUTS." Elektronički časopis građevinskog fakulteta Osijek , no. : 71-80.

Journal article
Published: 01 November 2015 in Energy Procedia
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Airtightness plays a significant role in buildings energy efficiency. This paper describes validation of the new model for predicting airtightness values of residential units. This model utilizes a neural network in prediction of airtightness and is obtained based on in situ measurements at 58 units in the local Osijek area (Croatia) carried out during 2013. The model presents new approach to airtightness estimations by using 4 corrective factors associated with building envelope elements and their airtightness properties. The model was validated in local field conditions, but independent validation of the model in this paper was made on 5 residential buildings in the Republic of Serbia in order to determine its applicability on new data set outside local area of Osijek. The proposed model requires reduced amount of data for predicting airtightness values of residential units and therefore is faster and more economical than the actual field measurements. The proposed model could also be used for predicting airtightness values at the initial design phase already, as well as for planning systematic energy refurbishment of residential buildings in order to achieve adequate energy efficiency and appropriate thermal comfort in accordance with EU recommendations in this field.

ACS Style

Hrvoje Krstic; Irena Istoka Otkovic; Goran Todorovic. Validation of a Model for Predicting Airtightness of Residential Units. Energy Procedia 2015, 78, 1525 -1530.

AMA Style

Hrvoje Krstic, Irena Istoka Otkovic, Goran Todorovic. Validation of a Model for Predicting Airtightness of Residential Units. Energy Procedia. 2015; 78 ():1525-1530.

Chicago/Turabian Style

Hrvoje Krstic; Irena Istoka Otkovic; Goran Todorovic. 2015. "Validation of a Model for Predicting Airtightness of Residential Units." Energy Procedia 78, no. : 1525-1530.

Journal article
Published: 02 July 2015 in Elektronički časopis građevinskog fakulteta Osijek
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ACS Style

Irena Ištoka Otković; Damir Varevac; Matjaž Šraml. ANALYSIS OF NEURAL NETWORK RESPONSES IN CALIBRATION OF MICROSIMULATION TRAFFIC MODEL. Elektronički časopis građevinskog fakulteta Osijek 2015, 6, 67 -76.

AMA Style

Irena Ištoka Otković, Damir Varevac, Matjaž Šraml. ANALYSIS OF NEURAL NETWORK RESPONSES IN CALIBRATION OF MICROSIMULATION TRAFFIC MODEL. Elektronički časopis građevinskog fakulteta Osijek. 2015; 6 (10):67-76.

Chicago/Turabian Style

Irena Ištoka Otković; Damir Varevac; Matjaž Šraml. 2015. "ANALYSIS OF NEURAL NETWORK RESPONSES IN CALIBRATION OF MICROSIMULATION TRAFFIC MODEL." Elektronički časopis građevinskog fakulteta Osijek 6, no. 10: 67-76.

Journal article
Published: 02 July 2015 in Elektronički časopis građevinskog fakulteta Osijek
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ACS Style

Ivana Miličević; Irena Ištoka Otković; Željko Koški. EXPERIMENTAL DESIGN APPLIED TO MODELING OF THE AIR-TIGHTNESS OF A BUILDING. Elektronički časopis građevinskog fakulteta Osijek 2015, 6, 41 -46.

AMA Style

Ivana Miličević, Irena Ištoka Otković, Željko Koški. EXPERIMENTAL DESIGN APPLIED TO MODELING OF THE AIR-TIGHTNESS OF A BUILDING. Elektronički časopis građevinskog fakulteta Osijek. 2015; 6 (10):41-46.

Chicago/Turabian Style

Ivana Miličević; Irena Ištoka Otković; Željko Koški. 2015. "EXPERIMENTAL DESIGN APPLIED TO MODELING OF THE AIR-TIGHTNESS OF A BUILDING." Elektronički časopis građevinskog fakulteta Osijek 6, no. 10: 41-46.

Journal article
Published: 01 December 2014 in Energy and Buildings
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ACS Style

Hrvoje Krstić; Željko Koški; Irena Ištoka Otković; Martina Španić. Application of neural networks in predicting airtightness of residential units. Energy and Buildings 2014, 84, 160 -168.

AMA Style

Hrvoje Krstić, Željko Koški, Irena Ištoka Otković, Martina Španić. Application of neural networks in predicting airtightness of residential units. Energy and Buildings. 2014; 84 ():160-168.

Chicago/Turabian Style

Hrvoje Krstić; Željko Koški; Irena Ištoka Otković; Martina Španić. 2014. "Application of neural networks in predicting airtightness of residential units." Energy and Buildings 84, no. : 160-168.

Journal article
Published: 01 November 2013 in Expert Systems with Applications
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This paper presents the results of research on the applicability of neural networks in the process of computer calibration of a microsimulation traffic model. VISSIM microsimulation model is used for calibration done at the example of roundabouts in an urban area. The calibration method is based on the prediction of a neural network for one traffic indicator, i.e. for the traveling time between measuring points. Besides the traveling time, the calibration process further/also involves a comparison between the modeled and measured queue parameters at the entrance to the intersection. The process of validation includes an analysis of traveling time and queue parameters on new sets of data gathered both at the modeled and at a new roundabout. A comparison of the traffic indicators measured in the field and those simulated with the calibrated and uncalibrated microsimulation traffic model provides an insight into the performance of the calibration procedure.

ACS Style

Irena Ištoka Otković; Tomaž Tollazzi; Matjaž Šraml. Calibration of microsimulation traffic model using neural network approach. Expert Systems with Applications 2013, 40, 5965 -5974.

AMA Style

Irena Ištoka Otković, Tomaž Tollazzi, Matjaž Šraml. Calibration of microsimulation traffic model using neural network approach. Expert Systems with Applications. 2013; 40 (15):5965-5974.

Chicago/Turabian Style

Irena Ištoka Otković; Tomaž Tollazzi; Matjaž Šraml. 2013. "Calibration of microsimulation traffic model using neural network approach." Expert Systems with Applications 40, no. 15: 5965-5974.