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 20 of 21 for “"Car-following Models"”.
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Estimation of car-following models
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1996.
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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 …
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Formulations, Issues and Comparison of Car-Following Models
Microscopic simulation software use car-following models to capture the interaction of a vehicle and the preceding vehicle traveling in the same lane. In the literature, much research has been carried out in the field of car-following and traffic stream modeling. Microscopic car-following models …
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Naturalistic Driving Data for the Analysis of Car-Following Models
… data from a naturalistic driving study provides car-following events in real-world driving situations, while additionally providing a wealth of information about the participating drivers. Reducing a naturalistic database into finite car-following events requires significant data reduction, …
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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 …
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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 …
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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 …
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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 …
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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 …
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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 …
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Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning
… on driver behavior in traffic, especially during car-following situations and safety critical events. Driving behavior is considered as a human decision process in this research which provides opportunities for an artificial driver agent simulator to learn according to naturalistic driving data. …
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Modeling Automated Vehicles and Connected Automated Vehicles on Highways
… highway setting is studied. This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, such as the Intelligent Driver Model (IDM), the IDM with traffic adaptive driving Strategy (SIDM), the Improved IDM (IIDM), the IIDM with …
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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 …
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Modeling Traffic Dispersion
… size within the modeling process. The proposed models are validated against field and simulated data. The second part focuses on implementation of the Robertson model inside the popular TRANSYT software. The dissertation first shows the importance of calibrating the recurrence platoon dispersion …
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A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics
… cleaned, and processed for use in calibrating car-following sub-models used in microscopic simulations. The car-following model is one of the cornerstones of any simulation based traffic analysis. Calibrating and validating these models is essential for enhancing the ability of the model's …
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Intelligent Cruise Control System Impact Analysis
… descriptions of ICC evaluation studies and car-following models are presented. The evaluation of ICC is conducted using data collected as part of the Field Operational Test (FOT) performed in Ann Arbor, Michigan. Two levels of analysis are presented in this thesis. The first level of …
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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 …
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Multi-modal Energy Consumption Modeling and Eco-routing System Development
… the dissertation first develops fuel consumption models for on-road vehicles. Given that gasoline light duty vehicles (LDVs) and electric vehicles were modeled in previous studies, the research effort mainly focuses on heavy duty vehicles (HDVs). Specifically, heavy duty diesel trucks (HDDTs) as …
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Understanding Traffic Congestion Through Multiscale Analysis: Sensor Deployment, Car-Following and Universal Scaling
… but also the limitations of the data and models used to represent traffic dynamics. This thesis approaches the problem through a multiscale framework, addressing how congestion is measured, modeled, and interpreted from both empirical and theoretical perspectives. Macroscopic …
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An Interdisciplinary and Probabilistic Treatment of Contemporary Highway Design Standards
… is a methodology to tune the parameters of a car-following model analytically. Current tuning practices require empirically collected traffic count data, which is cumbersome to obtain. Analytically parameterizing car-following models facilitates more robust planning and encompasses both the …
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