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Articles 1 - 9 of 9
Full-Text Articles in Engineering
A Multilevel Study Of Driving Behavior And System Performance- Harnessing Large-Scale Naturalistic Driving And Conventional Safety Data, Amin Mohammadnazar
A Multilevel Study Of Driving Behavior And System Performance- Harnessing Large-Scale Naturalistic Driving And Conventional Safety Data, Amin Mohammadnazar
Doctoral Dissertations
The performance of a transportation system highly depends on the drivers’ behavior because driving behavior is one of the main causes of traffic accidents and one of the key factors in fuel consumption and vehicle emissions studies. Specifically, the focus of this dissertation is on aggressive driving who not only put their selves and others at risk but also contribute more to greenhouse gas emissions. Recently, the development of advanced sensors, connected vehicles (CVs), location-based services (LBS) provided unprecedented access to new high-resolution microscopic-level data which can be used to evaluate and monitor instantaneous driving behavior and safety performance of …
Improving Pedestrian Safety With The Implementation Of The Demand-Responsive Transverse Rumble Strip As A New Traffic Safety Countermeasure, Md Shakhawat Hossen
Improving Pedestrian Safety With The Implementation Of The Demand-Responsive Transverse Rumble Strip As A New Traffic Safety Countermeasure, Md Shakhawat Hossen
UNLV Theses, Dissertations, Professional Papers, and Capstones
The traditional TRS has been extensively used as a traffic calming device to provide cognitive alerts in the form of sound and vibration to drivers. However, TRS always remains fixed on the road and thus exerts cognitive alerts, irrespective of any potential downstream hazards. Moreover, the continuous exposure to rumble strips has been identified as a source of discomfort and annoyance for drivers, which limits its application to potentially useful scenarios. This study explores a rumble strip design with dynamic behavior named as Demand-Responsive Transverse Rumble Strip (DRTRS) in order to address the limitations of static TRS. The study incorporates …
Modeling Driver Distraction Mechanism And Its Safety Impact In Automated Vehicle Environment., Song Wang
Modeling Driver Distraction Mechanism And Its Safety Impact In Automated Vehicle Environment., Song Wang
Electronic Theses and Dissertations
Automated Vehicle (AV) technology expects to enhance driving safety by eliminating human errors. However, driver distraction still exists under automated driving. The Society of Automotive Engineers (SAE) has defined six levels of driving automation from Level 0~5. Until achieving Level 5, human drivers are still needed. Therefore, the Human-Vehicle Interaction (HVI) necessarily diverts a driver’s attention away from driving. Existing research mainly focused on quantifying distraction in human-operated vehicles rather than in the AV environment. It causes a lack of knowledge on how AV distraction can be detected, quantified, and understood. Moreover, existing research in exploring AV distraction has mainly …
Understanding The Safety Impacts Of Left-Turn Infrastructure On The Vulnerable Driving Population, Francis Tainter
Understanding The Safety Impacts Of Left-Turn Infrastructure On The Vulnerable Driving Population, Francis Tainter
Doctoral Dissertations
The severe impact of roadway fatalities has remained a significant concern for researchers in recent years. As of 2015, traffic fatalities were the leading cause of death for individuals between the ages of 15 and 20 years old and a significant safety concern for drivers over the age of 65 years old (otherwise known as the “vulnerable” driving population). Intersection-related crashes have also remained prevalent in these demographic categories. Through four primary crash data evaluations, this dissertation explores the safety implications on the “vulnerable” driving population in the Commonwealth of Massachusetts. Through the utilization of newly developed crash data linkage …
The Impact Of Vision Zero Initiatives On Road User Safety In New York City, Alex C. Phares, Md Amdad Hossen, Kakan Dey
The Impact Of Vision Zero Initiatives On Road User Safety In New York City, Alex C. Phares, Md Amdad Hossen, Kakan Dey
Mountaineer Undergraduate Research Review
Despite modern vehicles, improved transportation infrastructure, and advanced traffic signals, more than 36,000 Americans die from traffic crashes every year1. With the goal of reducing traffic fatalities to zero, New York City (NYC) adopted Vision Zero (VZ) initiatives in 2014 and has deployed 23 categories of countermeasures, ranging from road improvements to training and community outreach programs2. In this research, trend analysis and hypothesis tests were done on NYC traffic fatality data for three main categories of roadway users: motorists, cyclists, and pedestrians, to evaluate the success of the VZ initiatives. It was found that annual fatalities of both motorist …
Nighttime Pedestrian Fatalities Across The United States And Their Relationship With Built Environment And Socioeconomic Factors: Gis-Based Analysis And Assessment, Amir Tarighi
Civil Engineering ETDs
Fatalities from motor vehicle collisions are the fifth leading cause of years of lost life worldwide (Foreman et al., 2018) and are a great concern for all communities. This road safety crisis has been especially pronounced for U.S. pedestrians over the last decade. National records show that between 2010 and 2019, pedestrian fatalities in the U.S. increased 44% while all other traffic fatalities increased only 4% and more than fifty percent of pedestrian fatalities occurred in dark lighting conditions. This study analyzed the relationship between pedestrian fatality locations at night and five demographic characteristics of those locations including population density, …
Evaluation Of Orange Pavement Striping For Use In Work Zones, Erin Lammers-Staats, William Staats, Ken Agent
Evaluation Of Orange Pavement Striping For Use In Work Zones, Erin Lammers-Staats, William Staats, Ken Agent
Kentucky Transportation Center Research Report
Interstate widening projects are commonplace in Kentucky, and safety is of primary concern within the project work zone. Past experience with long work zones revealed two critical safety issues: driver confusion due to unclear pavement markings and a lack of continuous work zone signage for motorists indicating they are still within a work zone. This concern is heightened in transition and taper areas. Highly visible markings in an alternative color other than standard yellow or white might better distinguish the proper travel path for motorists and prevent drivers from returning to normal driving behavior and speeds once they get through …
Safety Evaluation And Risk Level Prediction Of Driving Behavior Considering Multi-Factors Influence, An Yu, Pengpeng Jiao, Zixiu Bai
Safety Evaluation And Risk Level Prediction Of Driving Behavior Considering Multi-Factors Influence, An Yu, Pengpeng Jiao, Zixiu Bai
Journal of System Simulation
Abstract: In order to study the influence of multi-factors of human-vehicle-road on driving behavior and vehicle safety status in road traffic system, a simulated driving comparison test of six scenarios combined by multiple factors is designed. Driving simulator, physiography and eye tracker are used to collect 19 indicators related to driving behavior respectively. The differences of sample data are compared by variance analysis. The nonlinear SVM(support vector machine) is used to classify and predict the sample data. The driving behavior risk level prediction model is established, and the validity of the model is verified by the experimental data. The …
Adaptive Uplink Data Rate Prediction And Networkselection In A Vehicular Mobile Channel, Georgi Nikolov
Adaptive Uplink Data Rate Prediction And Networkselection In A Vehicular Mobile Channel, Georgi Nikolov
Theses
The rapid acceleration into the digital age brings a worldwide interconnectedness of an unprecedented level. This interconnectedness transforms the modern transportation network by linking its infrastructure components (e.g., signaling systems, traffic control systems, maintenance systems) together. Intelligent transportation systems (ITS) can utilize this newly emerged network infrastructure, improving traffic safety, traffic control, and reducing transportation-related environmental impacts, changing the way drivers, businesses and governments deal with road transport. It is expected that in the near future self-aware vehicles (e.g., trains, cars or trucks) will constitute the majority of the transportation infrastructure. Vehicles need to be able to reliably communicate critical …