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Search results for: BICYCLE TRAFFIC MODEL
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Bicycle Traffic Model for Sustainable Urban Mobility Planning
PublicationModelling tools and transport models are required to assess the impact of measures for the effective planning of cycling routes in cities. This paper presents the methodology for developing a four-stage macroscopic model of bicycle traffic for the city of Gdynia, and its use in planning new bicycle routes, considering a modal shift. The model presented in this paper allows for the evaluation of the influence of the characteristics...
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TRAFFIC MODEL OF A MULTIDOMAIN IMS/NGN
PublicationIn this paper we continue our research and present an analytical traffic model of a multidomain Next Generation Network (NGN), which is standardized for delivering multimedia services based on the IP Multimedia Subsystem (IMS). The model takes into account several service scenarios (including registration, intra- and inter-operator calls) and a large set of network parameters. Using the model mean Call Set-up Delay and mean Call...
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Verification of the Analytical Traffic Model of a Multidomain IMS/NGN Using the Simulation Model
PublicationIn this paper we verify the previously proposed analytical traffic model of a multidomain Next Generation Network (NGN), which is standardized for delivering multimedia services based on the IP Multimedia Subsystem (IMS). For this reason a proper simulation model used, in which not theoretical queuing system models but the operation of real network elements and standardized call scenarios are accurately implemented. Consequently,...
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Fuzzy group model of traffic flow in street networks
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Data on bicycle traffic in Gdansk paired with weather and air quality data
Open Research DataThe file contains data on bicycle traffic registered by counting stations loacted in Gdańsk in the years 2013-2020. The data are paired with weather and air quality data from Gdansk collected for the same period. The data is described below:
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Data on bicycle traffic in Lodz (Poland) paired with weather and air quality data
Open Research DataThe file contains data on bicycle traffic registered by counting stations loacted in Lodz in the years 2016-2019. The data are paired with weather and air quality data from Lodz collected for the same period. The data is described below:
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Multi-Option Model of Railway Traffic Organization Including the Energy Recuperation
PublicationThe article presents the issue of organization of railway traffic within the station, taking into account energy recuperation. We identified a number of factors which affect the energy efficiency of recuperation, including the issue of transfer of energy technology between a few vehicles. We presented some aspects of the decision problem of graphic train timetable construction with regard to recuperation. As an indicator of quality...
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Soft- and hard-decision multiple-model estimators for air traffic control
PublicationAnalizuje się problem śledzenia samolotów cywilnych manewrowania w zapewnianiu kontroli ruchu lotniczego (ATC) systemów za pomocą wielomodelowej (MM) estymacji stanu. Budując odpowiedni zestaw modeli manewrowania można opisać, jak różne manewry wpływają na proces oceny stanu wykonywany przez filtr Kalmana (KF) w oparciu o model ruchu bezmanerwowego. Metodologia ta prowadzi do podsystemu diagnostycznego, który wspiera estymator...
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Traffic model for evaluation of call processing performance parameters in IMS-based NGN
PublicationIn the modern world requirements for accurate and fast information distribution are becoming more and more important, which creates a strong necessity for appropriate telecommunication network architecture. Proposition of such an architecture is the Next Generation Network (NGN) concept, which in order to guarantee Quality of Service (QoS), should be correctly designed and dimensioned. For this reason proper traffic models must...
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Traffic Model of IMS/NGN Architecture with Transport Stratum Based on MPLS Technology
PublicationGrowing expectations for a fast access to information create strong demands for a universal telecommunication network architecture, which provides various services with strictly determined quality. Currently it is assumed that these requirements will be satisfied by Next Generation Network (NGN), which consists of two stratums and includes IP Multimedia Subsystem (IMS) elements. To guarantee Quality of Service (QoS) all NGN stratums...
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A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings
PublicationTraffic-induced vibrations may cause various damages to buildings located near the road, including cracking of plaster, cracks in load-bearing elements or even collapse of the whole structure. Measurements of vibrations of real buildings are costly and laborious. Therefore the aim of the research is to propose the original numerical algorithm which allows us to predict, with high probability, the nega-tive dynamic impact of traffic-induced...
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Analytical Traffic Model for a Multidomain IMS/NGN Network Including Service and Transport Stratum
PublicationThis paper addresses the problem of modelling call processing performance (CPP) in a multidomain Next Generation Network (NGN) architecture including the elements of the IP Multimedia Subsystem (IMS) in service stratum and based on the Multiprotocol Label Switching (MPLS) technology in transport stratum. An analytical traffic model for such an architecture is proposed by integrating the formerly implemented submodels of service...
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Road traffic can be predicted by machine learning equally effectively as by complex microscopic model
PublicationSince high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the algorithms employing neural networks can work in real-time, so they can be used, among others, to determine the speed displayed on variable message road signs. This paper describes...
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The use of a simulation model to analyze the impact of heavy transport generated by the port to the city traffic.
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"Creating a numerical model of noise conditions based on the analysis of traffic volume changes in cities with low and medium structure.
PublicationThe subject of this research study is to analyze noise conditions of the selected area in the city of Gdańsk using data related to traffic volume changes during a day. This is because daily distribution of noise levels is much more helpful for noise control and reduction than traditional maps with Lden levels indicated. Calculations are made with the use of a numerical model developed at the Gdansk Univ. of Technology and implemented...
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"Creating a numerical model of noise conditions based on the analysis of traffic volume changes in cities with low and medium structure.
PublicationThe subject of this research study is to analyze noise conditions of the selected area in the city of Gdańsk using data related to traffic volume changes during a day. This is because daily distribution of noise levels is much more helpful for noise control and reduction than traditional maps with Lden levels indicated. Calculations are made with the use of a numerical model developed at the Gdansk Univ. of Technology and implemented...
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A robust optimization model for affine/quadratic flow thinning: A traffic protection mechanism for networks with variable link capacity
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Influence of an applied bearing system on behaviour of multi-span footbridge
PublicationThe cycle overpass in Gdynia is a box structure over 300 metres long, 10-span. It was opened for bicycle traffic in the second half of 2013. At the end of its construction, there was failure due to excessive horizontal displacement of the system. A number of bearings exceeded the range of permissible transverse shifts thus it was necessary to temporarily protect the spans from slipping. The FEM analysis of the original solution...
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Jakub Montewka prof. dr hab. inż.
PeopleJakub Montewka is an associate professor at Gdańsk University of Technology in Poland and visiting processor at Aalto University in Espoo, Finland and Wuhan University of Technology in China. Jakub is researching in the field of maritime traffic risk and safety. His primary interests lie in the risk assessment of maritime transportation, quantification of safety of maritime navigation, route optimization for ships in ice-covered...
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Evaluating the convenience and safety effects of bicycle lanes in Gdańsk
PublicationBicycle lanes are lanes marked on a road and dedicated for exclusive use for cyclists.. Because they combine bike and motor traffic they provide directness and flow. However, a shared use of streets could result in bicycle-car accidents. Following up on the good practice Western countries have in planning cycle infrastructure, Gdańsk has recently introduced bike lanes on a few streets. The aim of the research was to assess the...
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Methods of Cyclist Training in Europe
PublicationThe following study aims to address the issue of cyclist training methodologies. Recent European bicycle accident statistics reveal a troubling upward trend. A potential solution to mitigate such incidents involves providing cyclists with comprehensive training encompassing traffic regulations and interactions with fellow road users. We conducted a comparative analysis of the cycling education approaches and cyclist training systems...
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Impact evaluation of a cycling promotion campaign using daily bicycle counters data: The case of Cycling May in Poland
PublicationThe promotion of active and sustainable transport modes as an alternative to motorised individual transport has become a key policy priority in Europe, to reduce air pollution, road congestion, noise, traffic injuries, and the adverse health outcomes of sedentary lifestyles. Policymakers are implementing a wide range of measures to encourage this shift in attitudes and behaviours. These interventions are most valuable when targeting...
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Growing role of walking and cycling and the associated risks
PublicationIncreasing the role of active mobility, including walking and cycling, is one of the tools for developing sustainable urban transport systems as recommended by the EU. The article describes the trends in pedestrian and bicycle traffic in Poland and its share in urban modal split. It identifies and describes the main sources of risks to pedestrian and cycle safety. Recommendations are...
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Olsztyn 2019- video traffic data
Open Research DataOlsztyn 2019- video data
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Analysis of Reasons of Accidents Between Cyclists and Public Transport Vehicles in Cities
PublicationIn European cities, a bicycle is now or is systematically becoming an equal means of transport. Unfortunately, the growth of bicycle traffic is associated with an increase in the number of accidents involving cyclists. Some of these accidents, are events with cyclists and public transport vehicles - and therefore means of transport, which together are to constitute a serious alternative to a car. Although the share of these kind...
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Identification of Risk Factors for Collisions Involving Cyclists Based on Gdansk Example
PublicationThe role of pedestrian and bicycle traffic in Poland has growing trend. The comprehensive traffic study, conducted in Gdansk in 2016, has confirmed the increase in the number of cyclists and their share in the modal split. Therefore, it is particularly important to ensure the safety of this group of unprotected road users. Only in 2015 on the roads of Gdansk occurred 93 accidents (excluding collisions) involving cyclists. As a...
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Gdansk 2020, Krynicka (S) street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Krynicka (S) street. Date 11.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Krynicka - Kolobrzeska crossing. Camera was mounted on 7-meter-high mast.
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Gdynia 2019 - video data - pedestrian, bicycles, vehicles
Open Research DataGdynia 2019 - video data - pedestrian, bicycles, vehicles
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Gdansk 2020, Bema street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Bema street (Bema – Kartuska crossing). Date 06.08.2020 6:00-22:00. The video camera was installed around bicycle crossings and pedestrian crossings at crossing. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, 3 Maja street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at 3 Maja street (3 Maja - Al. Zwyciestwa - Blednik - Trakt Konny crossing). Date 06.08.2020 6:00-22:00. The video camera was installed around bicycle crossings and pedestrian crossings at crossing. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, Bora Komorowskiego street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Bora Komorowskiego street (Bora Komorowskiego - Chlopska - Obroncow Wybrzeza crossing). Date 06.08.2020 6:00-22:00. The video camera was installed around bicycle crossings and pedestrian crossings at crossing. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, Strzelecka (N) street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Strzelecka street. Date 06.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Strzelecka - Nowe Ogrodycrossing. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, Obroncow Wybrzeza - crossing (E) street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Obroncow Wybrzeza (E) street. Date 11.08.2020, 13:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Obroncow Wybrzeza – Chlopska crossing. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, Czarny Dwor (N) street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Czarny Dwor street. Date 13.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Czarny Dwor – Jana Pawla II. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, Krynicka (N) street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Krynicka (N) street. Date 11.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Krynicka - Kolobrzeska crossing. Camera was mounted on 7-meter-high mast.
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Kowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
Open Research DataKowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
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Gdansk 2020, Jagielonska street - video data - pedestrian, bicycles, vehicles
Open Research DataGdansk 2020, Miszewskiego street - video data - pedestrian, bicycles, vehicles
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Gdansk 2020, Obroncow Wybrzeza - pedestrian crossing (E) street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Obroncow Wybrzeza street. Date 12.08.2020, 6:00-20:00. The video camera was installed around pedestrian crossings. Camera was mounted on 7-meter-high mast.
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Gdansk 2020, Miszewskiego street - video data - pedestrian, bicycles, vehicles
Open Research DataGdansk 2020, Miszewskiego street - video data - pedestrian, bicycles, vehicles
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Gdansk 2020, Grunwaldzka (E) street - video data - pedestrian, bicycles, vehicles
Open Research DataGdansk 2020, Grunwaldzka (E) street - video data - pedestrian, bicycles, vehicles
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Miedzyborz 2021 - video data I - pedestrian, bicycles, vehicles
Open Research DataMiedzyborz 2021 - video data - pedestrian, bicycles, vehicles
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Krotoszyn 2021 - video data I - pedestrian, bicycles, vehicles
Open Research DataKrotoszyn 2021 - video data - pedestrian, bicycles, vehicles
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Gostyn 2021 - video data I - pedestrian, bicycles, vehicles
Open Research DataGostyn 2021 - video data - pedestrian, bicycles, vehicles
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Giżycko 2017- video data - pedestrian, bicycles, vehicles
Open Research DataGiżycko 2017- video data - pedestrian, bicycles, vehicles
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Pruszcz Gdański 2019- video data
Open Research DataPruszcz Gdański 2019- video data
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Legionów 2020 - video data - pedestrian, bicycles, vehicles
Open Research DataLegionów 2020 - video data - pedestrian, bicycles, vehicles
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Więcbork 2020 - video data - pedestrian, bicycles, vehicles
Open Research DataWięcbork 2020 - video data - pedestrian, bicycles, vehicles
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Gdańsk Główny 2020 - video data - pedestrian, bicycles, vehicles
Open Research DataGdańsk Główny 2020- video data - pedestrian, bicycles, vehicles
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Gdynia Kosakowo 2019 - video data - pedestrian, bicycles, vehicles
Open Research DataGdynia Kosakowo 2019- video data - pedestrian, bicycles, vehicles
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Gdańsk Goplańska 2020- video data - pedestrian, bicycles, vehicles
Open Research DataGdańsk Goplańska 2020- video data - pedestrian, bicycles, vehicles