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Traffic Flow Dynamics: Data, Models and Simulation

TLDR
This instructional guide describes the use of simulation and mathematical models in determining traffic flow dynamics and presents various mathematical models including: continuity equations, the Lighthill–Whitham–Richards Model, macroscopic models, car-following models, lane-changing models, stability analysis, and phase diagrams.
Abstract
Introduction.- Part I Traffic Data: Trajectroy and Floating-Car Data.- Cross-Sectional Data.- Representations of Cross-Sectional Data.- Spatiotemporal Reconstruction of the Traffic State.- Part II Traffic Flow Modeling: General Aspects.- Continuity Equation.- The Lighthill-Whitham-Richards Model.- Macroscopic Models with Dynamic Velocity.- Elementary Car-Following Models.- Car-Following Models based on Driving Strategies.- Modeling Human Aspects of Driving Behavior.- Cellular Automata.- Lane-Changing and other Discrete-Choice Situations.- Stability Analysis.- Calibration and Validation.- The Phase Diagram of Congested Traffic States.- Part III Applications of Traffic Flow Theory: Traffic Flow Breakdown and Traffic-State Recognition.- Travel Time Estimation.- Fuel Consumption and Emissions.- Model-Based Traffic-Flow Optimization.- Solutions to the Problems.

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Citations
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Journal ArticleDOI

Influence of connected and autonomous vehicles on traffic flow stability and throughput

TL;DR: In this paper, the authors present a framework that utilizes different models with technology-appropriate assumptions to simulate different vehicle types with distinct communication capabilities, and the stability analysis of the resulting traffic stream behavior using this framework is presented for different market penetration rates of connected and autonomous vehicles.
Journal ArticleDOI

Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data

TL;DR: The Intelligent Driver Model (IDM) has been used for car-following modeling in this article to evaluate the performance of Adaptive Cruise Control (ACC) and Cooperative ACC (CACC) control systems.
Journal ArticleDOI

Understanding Human Mobility from Twitter

TL;DR: This study proposes Twitter as a proxy for human mobility, as it relies on publicly available data and provides high resolution positioning when users opt to geotag their tweets with their current location, and demonstrates that Twitter can be a reliable source for studying human mobility patterns.
Journal ArticleDOI

Traffic state estimation on highway: A comprehensive survey

TL;DR: A survey of highway TSE methods is conducted, and the recent usage of detailed disaggregated mobile data for the purpose of TSE is summarized, showing two possibilities in order to solve this problem: improvement of theoretical models and the use of data-driven or streaming-data-driven approaches, which recent studies have begun to consider.
Journal ArticleDOI

Incorporating human-factors in car-following models: A review of recent developments and research needs

TL;DR: In this paper, the authors provide a comprehensive review of car-following models from both the engineering and human behavior points of view, analyzing the benefits and limitations of various models and highlighting future research needs in the area.
References
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Book ChapterDOI

Modeling Human Aspects of Driving Behavior

TL;DR: Another class of psycho-physiological models explicitly take into account finite perception thresholds leading to sudden changes in accelerations whenever the difference from the ideal acceleration becomes significant.
Journal Article

On the Car-following Model

TL;DR: The foundation of car-following models is introduced and a comparison among them is drawn and it is strongly recommended to choose the best model according to the authors' intents.
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