2015Advances in engineering research/Advances in Engineering ResearchOpen access

Research of Cellular Automata Traffic Flow Model for Variable Traffic Flow Density

Jianhua Zhang, Tao Jiang, Sheng-an Wang, Jiawei Ma

Open full text 1 citations

Abstract

Freeway traffic flow and safety are the main subjects of the current highway traffic operation in an intelligent transportation system.The traffic flow model and traffic safety evaluation model were studied in this paper to analysis the traffic operation under a new traffic rule of variable traffic flow density.The classic car-following model is used to describe the traffic flow under the intelligent traffic system, and the variable traffic flow density is derived according to the constraints of the left overtaking.The corresponding interval values of average speed discrete degree are obtained to score the traffic safety degree.Then cellular automata is used to simulate the model, finding that traffic flow remains unchanged, while the safety of the traffic increases.

Open-access reader

About this research paper

What this paper is about

Freeway traffic flow and safety are the main subjects of the current highway traffic operation in an intelligent transportation system.The traffic flow model and traffic safety evaluation model were studied in this paper to analysis the traffic operation under a new traffic rule of variable traffic flow density.The classic car-following model is used to describe the traffic flow under the intelligent traffic system, and the variable traffic flow density is derived according to the constraints of the left overtaking.The corresponding interval values of average speed discrete degree are obtained to score the traffic safety degree.Then cellular automata is used to simulate the model, finding that traffic flow remains unchanged, while the safety of the traffic increases.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Freeway traffic flow and safety are the main subjects of the current highway traffic operation in an intelligent transportation system.The traffic flow model and traffic safety evaluation model were studied in this paper to analysis the traffic operation under a new traffic rule of variable traffic flow density.The classic car-following model is used to describe the traffic flow under the intelligent traffic system, and the variable traffic flow density is derived according to the constraints of the left overtaking.The corresponding interval values of average speed discrete degree are obtained to score the traffic safety degree.Then cellular automata is used to simulate the model, finding that traffic flow remains unchanged, while the safety of the traffic increases.

Key concepts: Cellular automaton, Traffic flow (computer networking), Computer science, Microscopic traffic flow model, Variable (mathematics), Flow (mathematics), Traffic generation model, Computer network

Related papers

Back to paper searchBrowse research topicsOriginal source