Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Crash Prediction"”.
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Fully automatic vision-based system for vehicle crash prediction and recognition
… analysis system that can perform accident prediction would be highly beneficial to multiple parties. Such systems would make a traffic analyst's workload more manageable and would provide a more sophisticated tool for determining the root causes of traffic accidents. In this thesis, we …
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Estimating Pedestrian Crashes at Urban Signalized Intersections
Crash prediction models are used to estimate the number of crashes using a set of explanatory variables. The highway safety community has used modeling techniques to predict vehicle-to-vehicle crashes for decades. Specifically, generalized linear models (GLMs) are commonly used because they can …
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Multivariate Analysis of Accident Related Outcomes with Respect to Contemporaneous Correlation and Endogeneity: Application of Simultaneous Estimation Techniques
Motor vehicle crashes have increasingly become a serious concern for highway safety engineers and transportation agencies over the past few decades. This serious concern has led to a great deal of research activities. One of these activities is to develop safety analysis tools, specifically crash …
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Calibration of the Highway Safety Manual and development of new safety performance functions for rural multilane highways in Kansas
… roadways in Kansas. In recent years, rural fatal crashes have accounted for about 66% of all fatal crashes. The Highway Safety Manual (HSM) provides models and methodologies for analyzing the safety of various types of highways. Predictive methods in the HSM were developed based on national trends …
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Evaluation of the Applicability of the Interactive Highway Safety Design Model to Safety Audit of Two-Lane Rural Highways
… of six modules: Policy Review Module (PRM), Crash Prediction Module (CPM), Design Consistency Module (DCM), Traffic Analysis Module (TAM), Intersection Review Module (IRM), and Driver/Vehicle Module (DVM) (still under construction). Among the six modules, two were chosen for evaluation …
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Safety Effects Of Traffic Signal Installations On State Road Intersections In Northeast Florida
… how the installations of traffic signals affect crash experience at intersections, to identify those factors which help predict crashes after a signal is installed, and to develop a crash prediction model. It is the intent of this thesis to supplement the Manual on Uniform Traffic Control Devices …
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A STUDY OF SAFETY IMPACTS OF DIFFERENT TYPES OF DRIVEWAYS AND THEIR PROXIMITY
… having less than 50 parking spaces. The HSM crash prediction models require the inputs of driveway type and density. However, the actual impacts of different types of driveways on the number of crashes are not clear. The crash modification factors were provided based on few past studies, with …
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Context Aware Pre-Crash System for Vehicular ad hoc Networks Using Dynamic Bayesian Model
… factors necessary to predict the likelihood of a crash with different levels of severity. Designing an accurate and effective pre-crash system to avoid front and back crashes or mitigate their severity is the most important goal of intelligent transportation systems, as it can save people’s lives. …
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Implementation Strategies For Real-time Traffic Safety Improvements On Urban Freeways
… the safety of a freeway once a potential of a crash is detected. Among these strategies are Variable Speed Limit (VSL) and ramp metering. VSL are ITS devices that are commonly used to calm traffic in an attempt to relieve congestion and enhance throughput. With proper use, VSL can be more cost …
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A Real-Time Computer Vision Based Framework For Urban Traffic Safety Assessment and Driver Behavior Modeling Using Virtual Traffic Lanes
… car-following analyses to congestion prevention, crash prediction, dynamic signal timing, and active traffic management. This dissertation aims to improve the tasks of multi-object detection and tracking (MOT) as it pertains to urban traffic by utilizing the domain knowledge of traffic flow then …
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Safety Evaluation of Freeway Exit Ramps
… the different factors contributing to the crashes happening on the exit ramp sections. To achieve the research objectives, the research team investigated crash history at 424 sites throughout Florida. The study area includes two parts, the freeway diverge area and the exit ramp sections. …
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Conversation understanding and realistic artificial crash data generation with deep learning
… on conversation understanding and realistic crash data generation with deep learning. Conversation understanding includes conversational outcome, formality, and politeness prediction. For conversation outcome prediction, we use recorded audio calls collected from a partnering Fortune 500 firm …
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Quantifying the Impact of Pavement Surface Properties on Road Safety: A Data-Driven Approach
… about surface measures materially improving prediction and how large their effects are in practice. This study addresses the established gap by quantifying how adding SFN40, MPD, and Age can affect a model's crash prediction across HSM Functional classifications. A network level dataset of …
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A machine learning model for vehicle crash type prediction
… the studies of risk factor investigation, crash detection, and crash frequency prediction. However, the existing studies are focused on the macro level, paying little attention to the specific crash type. In this study, eXtreme Gradient Boosting (XGBoost) method is applied to predict the …
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Crash severity modeling in transportation systems
Modeling crash severity is an important component of reasoning about the issues that may affect highway safety. A better understanding of the factors underlying crash severity can be used to reduce the degree of crash severity injury, locate road hazardous sites, and adopt suitable countermeasures. …
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Evaluating Ramp Metering And Variable Speed Limits To Reduce Crash Potential On Congested Freeways Using Micro-simulation
… into defining surrogate measures for identifying crash prone conditions on freeways has led to the introduction of several statistical models which can flag such conditions with a good degree of accuracy. Outputs from these models have the potential to be used as real-time safety measures on …
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Urban Expressway Safety and Efficiency Evaluation and Improvement using Big Data
… of traffic congestion, safety is studied through crash analysis. Extensive works have been conducted to identify the contributing factors and remedies of traffic congestion and crashes. These studies lead to gathering consensus that operation and safety have played as two sides of a coin, …
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Estimation Of Hybrid Models For Real-time Crash Risk Assessment On Freeways
… would involve anticipating incidents such as crashes. The primary element of proactive traffic management strategy would be model(s) that can separate 'crash prone' conditions from 'normal' traffic conditions in real-time. The aim in this research is to establish relationship(s) between …