2003•Journal of the Korean Society of Civil EngineersRequires access

Analysis of the Effectiveness of Freeway Ramp-Metering with Computer Simulation

Taewan Kim

Open publisher page 1 citations

Abstract

The purpose of this study is to analyse the effectiveness of freeway ramp metering with PARAMICS, which is a microscopic traffic simulation program. Since 1970s, various ramp metering algorithms have been developed and some of them are already applied in the fields. However, most of the studies dealing with the effectiveness of ramp metering focus mainly on the improvement of mainline traffic and it is not well known whether ramp metering improves the total traffic system including ramp and adjacent highway. This study analyses the system-wide effectiveness of four ramp metering algorithms, ALINEA, Bottleneck, Zone, and SWARM. The results show ramp metering reduces total vehicle travel time up to 7% and coordinated algorithms such as SWARM and Bottleneck do not outperform over ALINEA or Zone algorithms. It is also shown that there exists a non-linear relation between the effectiveness of ramp metering and the parameters.

About this research paper

What this paper is about

The purpose of this study is to analyse the effectiveness of freeway ramp metering with PARAMICS, which is a microscopic traffic simulation program. Since 1970s, various ramp metering algorithms have been developed and some of them are already applied in the fields. However, most of the studies dealing with the effectiveness of ramp metering focus mainly on the improvement of mainline traffic and it is not well known whether ramp metering improves the total traffic system including ramp and adjacent highway. This study analyses the system-wide effectiveness of four ramp metering algorithms, ALINEA, Bottleneck, Zone, and SWARM. The results show ramp metering reduces total vehicle travel time up to 7% and coordinated algorithms such as SWARM and Bottleneck do not outperform over ALINEA or Zone algorithms. It is also shown that there exists a non-linear relation between the effectiveness of ramp metering and the parameters.

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

The purpose of this study is to analyse the effectiveness of freeway ramp metering with PARAMICS, which is a microscopic traffic simulation program. Since 1970s, various ramp metering algorithms have been developed and some of them are already applied in the fields. However, most of the studies dealing with the effectiveness of ramp metering focus mainly on the improvement of mainline traffic and it is not well known whether ramp metering improves the total traffic system including ramp and adjacent highway. This study analyses the system-wide effectiveness of four ramp metering algorithms, ALINEA, Bottleneck, Zone, and SWARM. The results show ramp metering reduces total vehicle travel time up to 7% and coordinated algorithms such as SWARM and Bottleneck do not outperform over ALINEA or Zone algorithms. It is also shown that there exists a non-linear relation between the effectiveness of ramp metering and the parameters.

Key concepts: Metering mode, Bottleneck, Travel time, Computer science, Swarm behaviour, Engineering, Simulation, Automotive engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Analysis of the Effectiveness of Freeway Ramp-Metering with Computer Simulation — Research Paper | ScholarLens