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 63 for “"Car Following"”.
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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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Modeling Human And Machine-In-The-Loop In Car-Following Theory
… challenge facing researchers in the area of car-following theory relates to accounting for the human-in-the-loop while modeling the longitudinal motion of the vehicles. In fact, a major drawback of existing car-following models is that the human-in-the-loop is not modeled explicitly. This is …
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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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Driver Behavior in Car Following - The Implications for Forward Collision Avoidance
… was to characterize normal driver behavior in car following events based on naturalistic driving data. The dissertation analyzed normal driver behavior in car-following during both braking and lane change maneuvers. This study was based on the analysis of data collected in the Virginia Tech …
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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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A technique to calibrate nonlinear car-following laws for traffic oscillation estimation
Embargo set by: Seth Robbins for item 79919 Lift date: 2017-07-22T22:34:16Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system
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Understanding Traffic Congestion Through Multiscale Analysis: Sensor Deployment, Car-Following and Universal Scaling
… microscopic level, accurate representation of car-following behavior is essential for reproducing traffic phenomena such as capacity drop and oscillations. The existing stochastic car-following models provide a flexible framework for capturing traffic instabilities such as stop-and-go waves and …
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Estimation of car-following safety : application to the design of intelligent cruise control
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.
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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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Development of a Car -Following Model to Simulate Driver and Autonomous Intelligent Cruise Controlled Vehicular Traffic Flow
… are much greater than those obtained by DC cars. The traffic density and volumes of traffic mixed with AICC and DC vehicles were also examined. Macroscopic traffic flow equations to represent AICC vehicular traffic were found.
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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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Car Following and Dynamic Dilemma Zone Model for Determining Gate Operation Times Based on Driver Behavior at Highway-Rail Intersections
Field data is collected and analyzed from two highway-rail intersections. Vehicular speed profiles are examined in the approach zone, stopping distance zone, and the track zone for single vehicles as well as platoons of vehicles. A simulation model incorporating the field data, determination of a …
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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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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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A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks
… of a simulation model. In this thesis, the car-following behavior of the CORSIM and INTEGRATION simulation models are examined in significant detail, and its impact on output results explained. In addition, the thesis presents a calibration procedure for the CORSIM sub-model, FRESIM. …
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Modeling drivers' acceleration and lane changing behavior
… model defines two regimes of traffic flow: the car-following regime and the free-flow regime. In the car-following regime, a driver is assumed to follow his/her leader, while in the free-flow regime, a driver is assumed to try to attain his/her desired speed. A probabilistic model, that is based …
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