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.
Results
Showing 1 to 20 of 29 for “"Car-following model"”.
-
Emotional Impacts on Driver Behavior: An Emo-Psychophysical Car-Following Model
This research effort aims to create a new car-following model that accounts for the effects of emotion on driver behavior. This research effort is divided into eight research milestones: (1) the development of a segmentation and clustering algorithm to perform new investigations into driver …
-
Parameter estimation and statistical inference of a two-regime car-following model
… the formulation of a family of two-regime car-following models where both free-flow and congestion regimes obey random processes. This formulation generalizes previous efforts based on Brownian and geometric Brownian acceleration processes, each reproducing a different feature of traffic …
-
Development of a Car -Following Model to Simulate Driver and Autonomous Intelligent Cruise Controlled Vehicular Traffic Flow
INTELSIM model was also utilized to study traffic flow characteristics of a mix of driver controlled (DC) and AICC vehicles as well as all AICC vehicles. INTELSIM algorithm provided stability in AICC platoons and performed well in a variety of traffic situations including stop-and-go conditions. …
-
Application of Naturalistic Truck Driving Data to Analyze and Improve Car Following Models
This research effort aims to compare car-following models when the models are calibrated to individual drivers with the naturalistic data. The models used are the GHR, Gipps, Intelligent Driver, Velocity Difference, Wiedemann, and the Fritzsche model. This research effort also analyzes the …
-
Integrating human psychology into car-following models for accurate response prediction: a realistic approach
Car-following models traditionally focus on vehicle kinematics or dynamics parameters without considering human psychology. However, recent research has attempted to incorporate psychology into car-following models. Despite these efforts, there are limitations in understanding the psychological …
-
Safety Analysis of Human Car-following Models
… vehicles and human-driven vehicles. Hence, car-following models are increasingly used in the research on ITS to capture human driving behavior. Meanwhile, the quality of system safety is evaluated using safety indicators that can detect potential collisions between vehicles. For reliable …
-
Leveraging Machine Learning Techniques in Power and Transportation Systems
… explosion, and the emerging demand for system modeling and simulation, the challenges are growing exponentially in terms of model accuracy and authenticity. Fortunately, the surge of modern machine learning techniques has enabled us to grapple with seemingly impossible to solve problems, to …
-
The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models
Car-following behavior has been studied since the 1940s. However, complex calibration requirements and challenges with collecting high-resolution data have stunted advancements in this domain. Thus, methodologies to adequately capture naturalistic behavioral heterogeneity are largely missing from …
-
Calibration of a microscopic traffic simulator
… based framework was developed for calibration. Car- Following model parameters were identified for calibration and experimental design methodology was used to determine the set of sensitive parameters. Calibration was performed by minimizing the deviation between the simulated and observed …
-
Modeling Human And Machine-In-The-Loop In Car-Following Theory
… predicted using simple or complex mathematical models. However, traffic engineers and researchers are faced with a complex challenge since they have to deal with the human element. For instance, it can be stated that the biggest challenge facing researchers in the area of car-following theory …
-
TOWARDS MODELING DRIVER BEHAVIOR UNDER EXTREME CONDITIONS
… towards development of a micro-simulation modeling framework of traffic flow to support evaluation of management strategies and measures in emergency situations. To accomplish this objective, particular attention is given to understanding and representing "panic behavior" of individuals and …
-
Modeling Microscopic Driver Behavior under Variable Speed Limits: A Driving Simulator and Integrated MATLAB-VISSIM Study
… introduced into a broader microscopic behavior model. Statistical analysis indicates that VSL compliance can be predicted based upon several VSL design parameters. The developed two-state microscopic model is calibrated to driving-simulation trajectory data. A calibrated VSL microscopic model …
-
Calibration and Comparison of the VISSIM and INTEGRATION Microscopic Traffic Simulation Models
… underlying logic and differences between them. A Car-following model is the core of every microscopic traffic simulation software. In the context of this research, the thesis develops procedures for calibrating the steady-state car-following models in a number of well known microscopic traffic …
-
An Agent-based Simulation Tool for Evaluating Pooled Queue Performance at Marine Container Terminals
… but none of these studies have attempted to model the movements of the entities in the queue. In a human system (no vehicles) the movements are not as important since the time to move up one space in the queue is negligible; however, due to the size and weight of the trucks at the gates, the …
-
Assessment framework for wireless V2V communication-based ITS applications
… dissemination at the individual vehicle level. A modelling framework based on a microscopic traffic simulator is presented in this thesis to explore the effects of wireless Vehicle-to-Vehicle (V2V) communication based ITS applications on traffic performance. Microscopic traffic simulators describe …
-
A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics
… data obtained from Wide Area Motion Imagery for modeling and analyzing traffic characteristics. The data in question is collected by PV Labs and also known as persistent wide-area video. This video, in combination with PVLab's integrated Tactical Content Management System's spatiotemporal …
-
Microscopic Simulation Model for Mixed Traffic of Connected Automated Vehicles and Conventional Vehicles on Freeways
This study developed mixed-traffic simulation models of connected automated vehicles (CAVs) and manually-driven vehicles (MDVs) at the full-spectrum of mixed penetration rates on a freeway segment by incorporating the car-following and lane-changing models via a conditional linkage to investigate …
-
Enabling safe, smart, and sustainable Transportation Cyber-Physical Systems with Artificial Intelligence
… high-level and efficient traffic flow prediction models, essential in creating resilient urban environments. Concurrently, the rise in vehicle automation—from the basic SAE Level 1 features like adaptive cruise control (ACC) to the advanced SAE Level 5 fully automated vehicles devoid of human …
-
Analyzing the Impact of Wireless Multi-Hop Networking On Vehicular Safety
… the second part, we implemented a realistic car following model and used string stability analysis as a metric for measuring vehicle safety. The basic idea is to exploit the small network propagation time in disseminating safety messages over large distances, instead of relying on just the …
-
Towards a Comprehensive Bicycle Motion Behavior Model and Naturalistic Cycling Dataset
… traffic and the longitudinal motion behavior of cars. This research reparametrizes an existing car-following model to describe bicycle-following and motion behavior. Furthermore, the lack of naturalistic data has limited the validation of this model. This research aims at developing a descriptive …
Page 1 of 2