An Agent-based Approach to a Temporal Headway Development Statistics in Urban Traffic using Three-phase Theory

Maximilian Kumm, Michael Schreckenberg

2019

Abstract

An automated vehicle is supposed to merge into the major street of a T-intersection, while disturbing the ongoing traffic as little as possible. At the same time, different requirements regarding its driving strategy have to be fulfilled with respect to safety, comfort and energy conditions. It is desirable to enable a fluent automated drive and to avoid stopping during the approach at all. We implemented an agent-based simulation using the Kerner-Klenov model in framework of the three-phase traffic theory. Using a high number of interacting vehicles leads to a multi-agent system (MAS). A normal distributed free flow parameter based on empirical traffic data is introduced and serves as an input parameter to the simulations. The simulations output yield temporal headway development-statistics, which enables a prediction of the traffic situation on the major street. This allows the automated vehicle to adjust its speed in preparation of merging into the best possible gap considering the above-mentioned requirements. Hence, taking these statistics into account helps to optimise the driving strategy of the automated vehicle.

Paper Citation

in Harvard Style

Kumm M. and Schreckenberg M. (2019). An Agent-based Approach to a Temporal Headway Development Statistics in Urban Traffic using Three-phase Theory.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-350-6, pages 238-243. DOI: 10.5220/0007484602380243

in Bibtex Style

@conference{icaart19,
author={Maximilian Kumm and Michael Schreckenberg},
title={An Agent-based Approach to a Temporal Headway Development Statistics in Urban Traffic using Three-phase Theory},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2019},
pages={238-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007484602380243},
isbn={978-989-758-350-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - An Agent-based Approach to a Temporal Headway Development Statistics in Urban Traffic using Three-phase Theory
SN - 978-989-758-350-6
AU - Kumm M.
AU - Schreckenberg M.
PY - 2019
SP - 238
EP - 243
DO - 10.5220/0007484602380243