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Mohammad, Samir (author)
Understanding human behavior in overtaking scenarios is crucial for enhancing road safety in mixed traffic with automated vehicles (AVs). Modeling plays a pivotal role in advancing our comprehension of human overtaking behavior in dynamically evolving scenarios. Currently, our understanding of overtaking behavior primarily revolves around...
master thesis 2023
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Han, Lu (author)
E-bikes have gained global popularity due to their environmentally friendly and sustainable attributes, as well as their ability to provide fast speeds and power assistance. However, the increasing popularity of e-bikes has introduced conflicts and crashes with other road users, especially the interaction with conventional bikes, as e-bikes and...
master thesis 2023
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XU, YIPING (author)
This research delves into the transformative potential of self-driving vehicles by investigating their impact on passengers’ happiness. As autonomous transportation technology rapidly evolves, understanding the user experience within these vehicles becomes essential. To investigate the happiness of the self-driving vehicles’ passengers, which is...
master thesis 2023
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Zhang, Lanxin (author)
Lane-changing behaviour detection is a critical aspect of driving safety and traffic management. This study focuses on detecting sudden lane changes as a subset of abnormal driving behaviours. By analyzing the characteristics of abrupt lane changes, the aim is to develop effective data-driven unsupervised machine learning (ML) methods for their...
student report 2023
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Vonk, Martijn (author)
Autonomous vehicles (AVs) can solve a lot of problems related to traffic safety, comfort and congestion. While the sensors used by these vehicles are getting cheaper, more accurate, and software is improving, the first completely automated vehicle does not exist yet. When AVs start gradually driving on the roads, there will be a mixed traffic...
master thesis 2023
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XU, YIPING (author)
This is a research project for course CIE5090-09. The research aims to investigate the impact of the light-mopeds on the cyclists’ perceived safety. An online questionnaire is delivered to collect the participants’ feelings on the perceived safety of the given scenarios, and the reasons why they are feeling unsafe, as well as their intended...
student report 2023
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Dimitriadis, Stamatis (author)
Mobility of disabled people has as a basic guarantee the traffic safety. Walking for disabled may have improved considerably compared to the past, but there are stillissues such as the safe crossing at signalized crosswalks. Also, the availability of studies on safe crossing for disabled pedestrians is limited. While it has been understood how...
master thesis 2022
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Hafsteinsdóttir, Gudrun Birta (author)
The popularity of Bus Rapid Transit (BRT) has been growing rapidly over the past years, where more and more cities add BRT to their public transport systems. Roundabouts are also growing and are popular intersection designs because they are one of the safest types of intersections and improve traffic flow. It is, therefore, likely that in some...
master thesis 2022
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van Bentem, Leanne (author)
Increasing concerns about the safety of cyclists request for more research in how infrastructure can be improved to increase cycling safety. Literature in the prediction of bicycle crash risk however is very limited. Also the amount of available (exposure) data was often very limited. The aim of this study was to provide a better understanding...
master thesis 2022
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Wiersma, Jitse (author)
New applications of connectivity between vehicles and the infrastructure are developed. One of these applications is providing upstream information on variable speed limits to connected and automated vehicles. It is expected that the connectivity can contribute to safer roads due to better compliance to the posted speed limits. Those...
master thesis 2022
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Sevenster, Annemartijne (author)
Overtaking on two-lane roads can cause dangerous situations, due to drivers’ errors during the gap acceptance decision. Understanding gap acceptance decisions can help mitigate these situations. Response time (i.e. the time it takes the driver to evaluate the gap and make a decision) has been shown to provide valuable insights into the cognitive...
master thesis 2022
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Lingam, Shiva Nischal (author)
Driving involves communicative interactions where human drivers use communication signals to negotiate their right-of-way for road safety. The introduction of automated vehicles (AVs) in mixed-traffic environment, where human drivers will interact with AVs, will affect the nature of these communicative interactions. AVs and human-driven vehicles...
master thesis 2021
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Baumfalk, Henk (author)
Microsimulation can substantiate traffic safety analysis. The questions is how to use the information from microsimulation to say something about the general safety at network level. The objective of this research is to find out how microsimulation can be used to quantify traffic safety at a network level. For this, the surrogate safety...
master thesis 2021
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Patil, Sandeep (author)
Lane detection represents a fundamental task for automated/autonomous vehicles. Current lane detection methods do not provide the versatility of real-time performance, robustness,and accuracy required for real-world scenarios. The reasons include lack of computing power while being portable and inability to observe the continuity and structure...
master thesis 2021
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Soni, Shubham (author)
Advancements in technology are bringing Automated vehicles (AVs) closer to reality and it is not so far in future when these vehicles will have a significant penetration rate in our existing transport network. However, in the early phases of automation, penetration rate of these vehicles will be very low. This would lead to a mixed traffic...
master thesis 2020
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van Deursen, Max (author)
Many applications employ models to represent real-life environments efficiently. To allow these models to be realistic it is commonly fitted using a dataset containing labeled samples. When obtaining a label for a sample from the environment is expensive, it is key that the dataset contains only those samples that aid in providing a realistic...
master thesis 2020
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de Vries, Anouk (author)
With the introduction of Automated Vehicles (AVs), new potential traffic situations could emerge on the roads. Although several studies on AVs have been conducted, most of these studies focus on the AV technology or on the driver, while there is less emphasis on how these AVs could interact and communicate with other road users. The interactions...
master thesis 2019
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Huang, Ziye (author)
Highway construction zones post a danger to both road workers and road users because of the change of road condition and speed variance. Driverless maintenance is expected to improve traffic safety by removing road workers from work zones. This study investigates the feasibility of implementing driverless maintenance in dynamic highway...
master thesis 2019
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Borsos, Attila (author)
It is generally accepted that the road safety trend of a country is influenced by many factors related to the infrastructure, vehicles, health care etc. Nevertheless, road safety improvement is also a result of a learning process, which can come at an individual and a societal level, according to the current available literature. The former is...
student report 2019
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Lu, Xiaolin (author)
In the past few years, the research and development of automated driving have made significant leaps in bringing theory into reality. Forecasts suggest that highly automated vehicles (SAE Level 4) may be on the streets and highways within the next decade. However, current road infrastructure is designed for human drivers, and may not be able to...
master thesis 2018
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