EFFECTS OF PAVEMENT SURFACE DEFORMATIONS ON TRAFFIC FLOW

Mutlu Aydin, Metin; Topal, Ali · 2019 · Crossref

DOI: 10.3846/transport.2019.8631

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Summary

The provided text is not the paper titled "EFFECTS OF PAVEMENT SURFACE DEFORMATIONS ON TRAFFIC FLOW" by Mutlu (2019). Instead, it is the front matter, table of contents, and introductory chapters of the 1975 monograph *Traffic Flow Theory* by Daniel L. Gerlough and Matthew J. Huber, published as Transportation Research Board Special Report 165. Consequently, the text does not address pavement surface deformations. The monograph serves as a comprehensive synthesis of traffic flow theory, updating the 1964 *An Introduction to Traffic Flow Theory*. It was commissioned by the Federal Highway Administration and the Highway Research Board to consolidate existing knowledge for graduate students and practitioners. The work assumes a background in statistics and excludes transportation planning models to focus strictly on traffic flow mechanics. The text outlines the monograph’s structure, which covers fundamental measurement techniques, statistical distributions, and various theoretical models. Chapter 2 details methods for measuring flow, speed, and concentration, emphasizing the relationship between measurement techniques and data definitions. Chapter 3 examines statistical distributions, including counting and interval distributions, to predict traffic phenomena such as headways and speeds. Chapter 4 presents traffic stream models relating speed, flow, and concentration. Subsequent chapters explore the human and dynamic elements of traffic. Chapter 5 discusses driver information processing and human response characteristics. Chapter 6 focuses on car-following models and acceleration noise, treating traffic as discrete particles interacting within a single lane. Chapter 7 introduces hydrodynamic and kinematic models, analyzing traffic as a continuum using concepts like the continuity equation and traffic waves. Chapter 8 applies queueing theory to model delays at intersections and roadways. Finally, Chapter 9 addresses the simulation of traffic flow, covering model formulation, random input generation, and computer program implementation. The significance of this work lies in its role as a foundational reference that standardizes definitions and categorizes the diverse theoretical approaches to traffic flow existing in the mid-1970s. By integrating statistical, behavioral, and physical models, it provides a unified framework for understanding traffic dynamics, from individual driver actions to macroscopic stream behavior. The monograph aims to bridge the gap between theoretical research and practical engineering applications, offering a rigorous mathematical and statistical basis for traffic analysis.

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Topics

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• traffic density
• following distance