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<b>ENHANCING VULNERABLE ROAD USER SAFETY USING MACHINE LEARNING AND CROWDSOURCED DATA: A STUDY OF PEDESTRIAN CRASHES AT SIGNALIZED AND NON-SIGNALIZED INTERSECTIONS</b>Fahad Alqahtani (20827292) 04 March 2025 (has links)
<p dir="ltr">The number of vehicle-pedestrian crashes is increasing nationally and globally. Further, due to their lack of physical protection, pedestrians typically sustain severe injury when a crash occurs. There exists a need to identify the factors that affect pedestrian crashes frequency and severity, and to examine how these factors are different at signalized and non-signalized intersections. Therefore, this dissertation presents a comprehensive approach to investigating pedestrian safety (frequency and severity of crashes) at signalized and non-signalized intersections. Also, by identifying factors associated with higher risk of pedestrian crashes, this dissertation addresses the adequacy of the existing signalization warrants in practice.</p><p dir="ltr">The study dataset combines crash data, pedestrian and vehicle volumes, and land use data. To streamline the data collection of intersection features, a software was developed in this study, reducing the time required by threefold. The data contains emerging crowdsourced and mobile-based data to capture pedestrian volumes. Negative binomial and ordered logit models were for the model calibration.</p><p dir="ltr">Regarding crash severity, the study reveals that both driver and pedestrian impairment, multilane roads, and the presence of clear zones are significant factors of pedestrian crashes at both intersection types. However, at signalized intersections, proximity to a college campus and the presence of push-button devices are associated with less severe outcomes, while nighttime conditions significantly increase crash severity. At non-signalized intersection, the absence of lighting infrastructure during nighttime contributes to more severe crashes.</p><p dir="ltr">A key methodological contribution is the hybrid approach developed to correct misclassified pedestrian crashes by integrating structured crash data with unstructured narrative reports. This method combines manual and semi-automated processes with natural language processing to accurately classify crash severity, identifying and reclassifying 5.5% of crashes in the study. The study provides a comprehensive comparative analysis of pedestrian crashes at signalized and non-signalized intersections, offering valuable insights for urban planners, traffic engineers, and policymakers in developing safer intersection designs and implementing data-driven safety interventions across diverse urban environments.</p>
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Vidaus degimo variklių alternatyvių degalų efektyvumo lyginamoji anlizė / The comparatyve analysis of efficiency of alternative fuel for engines of internal combustionDromantas, Marius 27 June 2005 (has links)
This article presents the comparative bench testing results of a naturally aspirated, four stroke, four cylinder, water cooled, direct injection Diesel engine when runing on Diesel fuel and shale oil that is produced in Estonia from local oil Shale. The purpose of this research is to investigate the possibility of practical usage of the shale oil as the alternative fuel for a high speed Diesel engine as well as to evaluate the combustion efficiency, brake specific fuel consumption, emission composition changes and the smoke opacity of the axhausts.
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Saugaus eismo sistemos ,,Eismo dalyvis - transporto priemonė - kelias (eismo aplinka)" elementų sąveikos tyrimas / The Investigation Of The Traffic Safety System “Traffic Participant – Vehicle – Road (Traffic Environment)” Elements InteractionPumputis, Vidmantas 29 January 2007 (has links)
To research the interaction between the elements of the traffic safety system “Traffic Participant – Vehicle – Road (Traffic Environment)” and the influencing factors, and to provide recommendations for the improvement of traffic safety in Lithuania. The following main problems were solved in the research: • to research the models applied for the analysis of traffic safety system; • to identify the key factors influencing the traffic safety system reliability; • to perform reaction tests of traffic participants, during which the driver’s reaction time in usual situations and in potentially dangerous or unforeseen situations is identified, i.e. while talking on a mobile phone, distractions, headlight dazzle at night, and other situations; • based on mathematical calculation methods and the tests performed, to identify the factors influencing the driver’s reaction time; • based on traffic accident data on certain main roads and by applying statistical mathematical packages, to identify the factors affecting the number of traffic accidents; • after analyzing the factors affecting the traffic safety system, to formulate substantiated trends for the improvement of traffic safety and to implement that traffic safety improvement means for these trends; • to assess the efficiency of traffic safety improvement means.
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Modelling the impacts of intelligent transport systems using microscopic traffic simulationCottman, N. Unknown Date (has links)
No description available.
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Incident detection on arterials using neural network data fusion of simulated probe vehicle and loop detector dataThomas, K. Unknown Date (has links)
No description available.
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Performance evaluation of advanced traffic control systems in a developing countrySutandi, A. Caroline Unknown Date (has links)
No description available.
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Performance evaluation of advanced traffic control systems in a developing countrySutandi, A. Caroline Unknown Date (has links)
No description available.
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Performance evaluation of advanced traffic control systems in a developing countrySutandi, A. Caroline Unknown Date (has links)
No description available.
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Modelling the impacts of intelligent transport systems using microscopic traffic simulationCottman, N. Unknown Date (has links)
No description available.
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Performance evaluation of advanced traffic control systems in a developing countrySutandi, A Caroline Unknown Date (has links)
Traffic congestion is increasingly becoming a severe problem in many large cities around the world. The problem is more complex in developing countries where cities are growing at a much faster rate than those in the developed world. Advanced Traffic Management Systems (ATMS) are one of the Intelligent Transport Systems (ITS) technologies that have been recommended and used as a tool to ease congestion problems in many large cities in the developing world. However, it is unknown how specific local conditions commonly observed in these cities, such as poor lane discipline and complex road user interactions, affect the performance of these systems. GETRAM (Generic Environment for Traffic Analysis and Modeling) was used in this research as a tool to develop microscopic traffic simulation models for the city of Bandung in Indonesia. The field data in this research, comprising throughputs, queue lengths and travel times, were collected during peak and off peak periods from all 90 signalised intersections connected to SCATS (Sydney Co-ordinated Adaptive Traffic System). This field data is believed to comprise one of the largest sets of real world data available for the development and validation of microscopic traffic simulation models. Two data sets were collected for this research: the first was used to develop and calibrate the simulation model and the second was used for validation. A number of statistical tests were used to determine the adequacy of the model in replicating traffic conditions. The results of statistical tests clearly showed that all of the calibrated and validated models reproduced field conditions with an acceptable degree of confidence. Therefore, the models were accepted as accurate and valid replications of the real world. The validated models were then used to evaluate the performance of SCATS which was implemented in Bandung in June 1997 as a pilot project. The results of comparative evaluation of the models under SCATS and under the Fixed Time control (without SCATS) demonstrated that SCATS did not necessarily always produce better results than the Fixed Time control. Furthermore, the performance of SCATS was strongly influenced by specific local conditions in the city. The multiple regression method was used to investigate the relationship between the traffic performance measures and significant basic variables. Based on this analysis, the main findings were: first, throughput was found to increase at intersections with higher v/c (volume to capacity) ratios. Second, throughput was found to decrease at intersections with higher numbers of phases and movements, longer widths of leg intersections, and farther distances to adjacent intersections. Third, queue length was found to increase at intersections with higher numbers of phases and movements. Based on the above findings, a number of improvements were recommended to enhance the performance of SCATS. This research also used traffic simulation to evaluate the impacts of these recommended improvements in increasing the performance of SCATS. The main findings from this evaluation were: first, restricted number of phases and movements at selected intersections substantially increased the traffic flow (78%) and decreased the queue length (by 55 to 67%) at the intersection. Second, making leg intersections widerwithout physically building additional road capacity but by changing the stream with higher road hierarchy and higher v/c ratio from a two-way road into a one-way roadhas a great impact on enhancing the performance of SCATS. Traffic flows were found to increase between 7 and 106%, and queue lengths were found to markedly decrease between 77 and 100% at all the suggested intersections. Third, the application of SCATS at intersections which are not closely spaced was not effective. Therefore, it is recommended that intersections which are not closely spaced remain under the Fixed Time control. The results and findings from this study provide road authorities in developing countries with an appreciation and enhanced understanding of the factors that influence the performance of traffic management systems in cities with similar characteristics to those in Bandung. These findings will also assist traffic engineers determine the best practices for the implementation of advanced traffic control systems in their cities.
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