Search the digital library catalog

Abstract: The outbreak of COVID-19 caused many changes in people's life. One of the most significant is the travel behaviour and transport mode choice. This study focus on the changes that the inhabitants of Vienna made in their travel choices because of the virus. The same research about spatial modelling the transport mode choice of commuters in Vienna was completed in 2019 and is a topic addressed in our previous work. Based on our developed methodology, this article indicates that public transport is not a dominant transport mode choice as it was before the virus outbreak.The main result of this paper is geographically defined areas of application of individual alternatives shown on the final map of modal shift in Vienna, which could provide theoretical support for policy-makers and transportation planners. For the city of Vienna, we found that the area of the city where cars are now used has increased, which certainly has a negative impact on air quality and life in the city. The advantage of the methodology is that it can also be applied to other cities in the world.
Keywords: coronavirus, city traffic, urban mobility, transport mode choice, passenger transport, geographical methods, spatial modelling, city logistics, Vienna
Published in DKUM: 14.10.2024; Views: 0; Downloads: 17
Full text (2,71 MB)
This document has many files! More...

Abstract: Natural conditions play an important role as determinants and cocreators of the spatiotemporal road traffic accident Hot Spot footprint; however, none of the modern commercial, or open-source, navigation systems currently provides it for the driver. Our findings, based on a spatiotemporal database recording 11 years of traffic accidents in Slovenia, proved that different weather conditions yield distinct spatial patterns of dangerous road segments. All potentially dangerous road segments were identified and incorporated into a mobile spatial decision support system (SLOCrashInfo), which raises awareness among drivers who are entering or leaving the predefined danger zones on the street network. It is expected that such systems could potentially increase road traffic safety in the future.
Keywords: GIS, mobile application, spatial databases, spatial patterns, traffic safety
Published in DKUM: 20.08.2024; Views: 63; Downloads: 11
Full text (1,25 MB)
This document has many files! More...

Abstract: The manuscript discusses the investigation of vehicle flow in a predesignated junction byan appropriate traffic flow management with an effort to minimize fuel consumption, the productionof CO2, an essential greenhouse gas (hereinafter referred to as GHG), and related transport costs.The particular research study was undertaken in a frequented junction in the city of Celje, located in the eastern part of Slovenia. The results obtained summarize data on consumed fuel and produced CO2 amounts depending on the type of vehicle, traffic flow mixture, traffic light signal plan, andactual vehicle velocity. These values were calculated separately for three different conditions of traffic flow management. Amounts of fuel consumed were experimentally investigated in real traffic situations, whereas CO2 production was calculated by applying the actual European standardentitled EN 16258:2012 associated with a guideline for measuring emission values, as well as by examining specific traffic flow parameters. The key objective of the manuscript is to present multiple scenarios towards striving to minimize environmental impacts and improve transport operation's economic consequences when implementing proper traffic flow management. As for crucial findings, we quantified fuel consumption and CO2 emissions based on real data on the number and type of vehicles crossing the examined intersection and traffic light switching intervals. The results show that most of the CO2 was produced while waiting and in the accelerating phase in front of traffic lights, whereby in the running phase through the intersection, significantly less fuel was used. This study represents a mosaic fragment of research addressing endeavors to reduce CO2 production in urban transport. Following the experiments conducted, we can see a notable contribution towards reducing CO2 production with known and tested interventions in the existing transport infrastructure. A procedure embracing individual research steps may be deemed as an approach methodology dealing with traffic flow management with an aim to decrease the environmental and economic impacts oftraffic and transport operation; this is where the novelty of the research lies.
Keywords: traffic flow management, urban transport, CO2 production, greenhouse gas, fuel consumption, methodology, logistics, crossroads
Published in DKUM: 19.08.2024; Views: 82; Downloads: 9
Full text (3,43 MB)
This document has many files! More...

Abstract: How to extract a collection of trajectories for different vessels from the raw AIS data to discover vessel meeting knowledge is a heavily studied focus. Here, the AIS database is created based on the raw AIS data after parsing, noise reduction and dynamic Ramer-Douglas-Peucker compression. Potential encountering trajectory pairs will be recorded based on the candidate meeting vessel searching algorithm. To ensure consistent features extracted from the trajectories in the same time period, time alignment is also adopted. With statistical analysis of vessel trajectories, sailing segment labels will be added to the input feature. All motion features and sailing segment labels are combined as input to one trajectory similarity matching method based on convolutional neural network to recognize crossing, overtaking or head-on situations for each potential encountering vessel pair, which may lead to collision if false actions are adopted. Experiments on AIS data show that our method is effective in classifying vessel encounter situations to provide decision support for collision avoidance.
Keywords: AIS Data, CNN, Dynamic Rammer-Douglas-Peucker, knowledge discovery, maneuvering pattern, traffic pattern, trajectory
Published in DKUM: 19.03.2024; Views: 538; Downloads: 417
Full text (3,84 MB)
This document has many files! More...

Abstract: In this master's thesis we will analyse traffic safety at pedestrian crossings from the lighting point of view. The focus of the work will be on Croatia and Slovenia. Accidents at pedestrian crossings are the most common forms of accidents involving pedestrians, and although these countries are equal members of the European Union, their attitude towards road users may be different. Road accidents are one of the main indicators of road safety in every country and, based on statistics, suggestions for improvement will be made. By analysing the type of pedestrian crossings and the types of street lighting, we will identify and show their weaknesses. We will first present an analysis of traffic accidents involving pedestrians for certain periods for Slovenia and Croatia. This analysis is an indicator of actual traffic conditions related to pedestrian safety and non-motorized traffic. The statistical data presented in this master’s thesis were obtained from the Ministry of the Interior of the Republic of Croatia and the website of the Public Agency of the Republic of Slovenia for Road Safety, which is available with a large amount of data and analyses of traffic safety on a daily basis. Slovenian regulations clearly show the types and methods of designing pedestrian crossings, while Croatia lags behind in the details and explanations of the elements. In the end, an example of a comparison of pedestrian crossing lighting in the Republic of Croatia and Slovenia at locations in Bjelovar and Maribor will be presented. I will compare the brightness of pedestrian crossings and give an analysis of current traffic safety. Finally, solutions to improve the situation will be offered.
Keywords: traffic safety, pedestrian road crossing, traffic accident, traffic lighting
Published in DKUM: 01.10.2020; Views: 1161; Downloads: 112
Full text (1,50 MB)