Capacity Drop at Freeway Ramp Merges with Its Replication in Macroscopic and Microscopic Traffic Simulations: A Tutorial Report

Ramp Metering and Freeway Bottleneck Capacity

This study aims to determine whether ramp meters increase the capacity of active freeway bottlenecks. The traffic flow characteristics at twenty-seven active bottlenecks in the Twin Cities have been studied for seven weeks without ramp metering and seven weeks with ramp metering. A methodology for systematically identifying active freeway bottlenecks in a metropolitan area is proposed, which re...

Capacity of Freeway Merge Areas with Different On-ramp Traffic Flow

This paper is aimed at investigating the influence of different types of traffic flows on the capacity of freeway merge areas. Based on the classical gap-acceptance model, two calculating models were established specifically considering randomly arriving vehicles and individual difference in driving behaviours. Monte-Carlo simulation was implemented to reproduce the maximum traffic volume on th...

A Microscopic Simulator for Freeway Traffic

In this contribution a micro-simulator for freeway traffic which is coupled to a stream of on-line data stemming from inductive loops is presented. In order to provide network-wide information about the current traffic state a cellular automaton traffic flow model is combined with the measured data. The framework is applied to the freeway network of North Rhine-Westphalia (NRW), where data from...

Ramp Metering and the Capacity of Active Freeway Bottlenecks

The objective of this study is to determine whether ramp meters increase the capacity of active freeway bottlenecks, and if they do, how. The traffic flow characteristics at twenty-seven active bottlenecks in the Twin Cities have been studied for seven weeks without ramp metering and seven weeks with ramp metering. A series of hypotheses regarding the relationships between ramp metering and the...

Time-Dependent Delays at Traffic Merges