Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios

Christopher Link, Kevin Malena, Sandra Gausemeier, Ansgar Trächtler, Ansgar Trächtler

2023

Abstract

The development of autonomous vehicles and their introduction in urban traffic offer many opportunities for traffic improvements. In this paper, an approach for a future traffic control system for mixed autonomy traffic environments is presented. Furthermore, a simulation framework based on the city of Paderborn is introduced to enable the development and examination of such a system. This encompasses multiple elements including the road network itself, traffic lights, sensors as well as methods to analyse the topology of the network. Furthermore, a procedure for traffic demand generation and routing is presented based on statistical data of the city and traffic data obtained by measurements. The resulting model can receive and apply the generated control inputs and in turn generates simulated sensor data for the control system based on the current system state.

Paper Citation

in Harvard Style

Link C., Malena K., Gausemeier S. and Trächtler A. (2023). Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-652-1, SciTePress, pages 367-377. DOI: 10.5220/0011987600003479

in Bibtex Style

@conference{vehits23,
author={Christopher Link and Kevin Malena and Sandra Gausemeier and Ansgar Trächtler},
title={Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2023},
pages={367-377},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011987600003479},
isbn={978-989-758-652-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios
SN - 978-989-758-652-1
AU - Link C.
AU - Malena K.
AU - Gausemeier S.
AU - Trächtler A.
PY - 2023
SP - 367
EP - 377
DO - 10.5220/0011987600003479
PB - SciTePress