2005Journal of the Eastern Asia Society for transportation studies/Journal of the Eastern Asia Society for Transportation StudiesRequires access

SOME FINDINGS OF CA MODEL TO GENERATE VARIOUS FREEWAY TRAFFIC FLOWS WITH ADDITIONAL RULES

Hyunho Chang, Seung-kirl Baek, Seong Namkoong, Byoung-Jo Yoon

Open publisher page 2 citations

Abstract

It's reported that real traffic flow has three phases such as free, synchronized, and stop-and-go flow, and that macroscopic flow-density relationship, called the fundamental diagram, has various features such as inverted V-shaped, inverted U-shaped, bell-shaped, reversed λ -shaped, and reversed λ - shaped with upward concave. Cellular Automata (CA) theory for microscopic vehicle simulation modeling is capable of simulating large traffic road networks faster than real time using both memory-saved and high-computing data structure. Although simplified CA models are able to robustly reproduce the basic properties of uninterrupted traffic flow, they have shortcomings to the description of some flow-density relation diagrams such as revered λ - shaped with upward concave and bell-shaped relation. Based on existent CA Car-following models, this paper proposes an improved CA model integrating two additional rules for both stopping maneuver in the tail of traffic jam and low acceleration within traffic jam. Consequently, the improved CA model describes microscopic vehicle behaviors such as braking maneuver at the tail of traffic jam and low acceleration within congested traffic flow more realistic than present CA models and is able to reproduce various flow-density relationships including revered λ - shaped with upward concave and bell-shaped fundamental diagrams that existing CA models are hard to reproduce.

About this research paper

What this paper is about

It's reported that real traffic flow has three phases such as free, synchronized, and stop-and-go flow, and that macroscopic flow-density relationship, called the fundamental diagram, has various features such as inverted V-shaped, inverted U-shaped, bell-shaped, reversed λ -shaped, and reversed λ - shaped with upward concave. Cellular Automata (CA) theory for microscopic vehicle simulation modeling is capable of simulating large traffic road networks faster than real time using both memory-saved and high-computing data structure. Although simplified CA models are able to robustly reproduce the basic properties of uninterrupted traffic flow, they have shortcomings to the description of some flow-density relation diagrams such as revered λ - shaped with upward concave and bell-shaped relation. Based on existent CA Car-following models, this paper proposes an improved CA model integrating two additional rules for both stopping maneuver in the tail of traffic jam and low acceleration within traffic jam. Consequently, the improved CA model describes microscopic vehicle behaviors such as braking maneuver at the tail of traffic jam and low acceleration within congested traffic flow more realistic than present CA models and is able to reproduce various flow-density relationships including revered λ - shaped with upward concave and bell-shaped fundamental diagrams that existing CA models are hard to reproduce.

Why it matters

OpenAlex reports 2 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

It's reported that real traffic flow has three phases such as free, synchronized, and stop-and-go flow, and that macroscopic flow-density relationship, called the fundamental diagram, has various features such as inverted V-shaped, inverted U-shaped, bell-shaped, reversed λ -shaped, and reversed λ - shaped with upward concave. Cellular Automata (CA) theory for microscopic vehicle simulation modeling is capable of simulating large traffic road networks faster than real time using both memory-saved and high-computing data structure. Although simplified CA models are able to robustly reproduce the basic properties of uninterrupted traffic flow, they have shortcomings to the description of some flow-density relation diagrams such as revered λ - shaped with upward concave and bell-shaped relation. Based on existent CA Car-following models, this paper proposes an improved CA model integrating two additional rules for both stopping maneuver in the tail of traffic jam and low acceleration within traffic jam. Consequently, the improved CA model describes microscopic vehicle behaviors such as braking maneuver at the tail of traffic jam and low acceleration within congested traffic flow more realistic than present CA models and is able to reproduce various flow-density relationships including revered λ - shaped with upward concave and bell-shaped fundamental diagrams that existing CA models are hard to reproduce.

Key concepts: Cellular automaton, Traffic flow (computer networking), Acceleration, Diagram, Flow (mathematics), Relation (database), Three-phase traffic theory, Microscopic traffic flow model

Related papers

Back to paper searchBrowse research topicsOriginal source
SOME FINDINGS OF CA MODEL TO GENERATE VARIOUS FREEWAY TRAFFIC FLOWS WITH ADDITIONAL RULES — Research Paper | ScholarLens