This paper uses the method of kinematic waves, developed in part I, but may be read independently. A functional relationship between flow and concentration for traffic on crowded arterial roads has been postulated for some time, and has experimental backing (? 2). From this a theory

new stochastic cellular automaton model on

Cellular automaton models

Persistence of shock waves in fluid dynamics,

portation; and the United States Department Transportation, Federal Highway Administration. The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. This report does not constitute a standard, specification, or regulation. ISSN 1055-1417

Traffic flow prediction is an important application of the

Knowledge of fundamental traffic flow characteristics of traffic simulation models is an essential requirement when using these models for the planning, design, and operation of transportation systems. In this paper we discuss the following: a description of how features relevant to traffic flow

Traffic flow improvements represent those actions that can be implemented to enhance the person-carrying capability of the roadway system, without adding significantly to the width of the roadway. The range of roadway facility actions available generally fall under two classifications. Actions

Network traffic arises from the superposition of Origin-Destination (OD) flows. Hence, a thorough understanding of OD flows is essential for modeling network traffic, and for addressing a wide variety of problems including traffic engineering, traffic matrix estimation, capacity planning

traffic flow model ∗