Traffic on a circular road is described by dynamic programming equations associated to optimal control problems. By solving the equations analytically, we derive the relation between the average car density and the average car flow, known as the fundamental diagram of traffic. First, we present a model based on min-plus algebra, then we extend it to a stochastic dynamic programming model, then to a stochastic game model. The average car flow is derived as the average cost per time unit of optimal control problems, obtained in terms of the average car density. The models presented in this article can also be seen as developed versions of the car-following model. The derivations proposed here can be used to approximate, understand and interpr...
In the theory and models of traffic-flow the emphasis lies on the interaction between vehicles, base...
An overview of existing mathematical models of traffic flows is presented. Various macroscopic and m...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...
Abstract. A model of transient single-lane traffic flows is proposed, taking into account the basic ...
We show that the Car Following Model with Optimal Velocity (Optimal Velocity Model), which was propo...
Following some general ideas on the discrete kinetic and stochastic game theory proposed by one of ...
The aim of this work is to understand how urban traffic behavior, especially in cases of congestion...
Here we refer to the book of Haberman [2] and to the papers [1, 3] for the description of the mathem...
2011PDFTech ReportUMAR22-15Stochastic processesTraffic flowTraffic modelsHighway capacityMathematica...
This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows...
The optimization and control of traffic flow along a road or networks of roads, either highways or u...
Modeling traffic flow at intersections is essential for the design, control, and management of inter...
The development of connected and automated vehicle (CAV) technologies motivate modeling efforts and ...
Abstract — The fundamental traffic diagram gives the relation between the flow and the density of ve...
A model of transient single-lane traffic flows is proposed, taking into account the basic components...
In the theory and models of traffic-flow the emphasis lies on the interaction between vehicles, base...
An overview of existing mathematical models of traffic flows is presented. Various macroscopic and m...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...
Abstract. A model of transient single-lane traffic flows is proposed, taking into account the basic ...
We show that the Car Following Model with Optimal Velocity (Optimal Velocity Model), which was propo...
Following some general ideas on the discrete kinetic and stochastic game theory proposed by one of ...
The aim of this work is to understand how urban traffic behavior, especially in cases of congestion...
Here we refer to the book of Haberman [2] and to the papers [1, 3] for the description of the mathem...
2011PDFTech ReportUMAR22-15Stochastic processesTraffic flowTraffic modelsHighway capacityMathematica...
This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows...
The optimization and control of traffic flow along a road or networks of roads, either highways or u...
Modeling traffic flow at intersections is essential for the design, control, and management of inter...
The development of connected and automated vehicle (CAV) technologies motivate modeling efforts and ...
Abstract — The fundamental traffic diagram gives the relation between the flow and the density of ve...
A model of transient single-lane traffic flows is proposed, taking into account the basic components...
In the theory and models of traffic-flow the emphasis lies on the interaction between vehicles, base...
An overview of existing mathematical models of traffic flows is presented. Various macroscopic and m...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...