---
_id: '44390'
abstract:
- lang: eng
text: 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.
author:
- first_name: Christopher
full_name: Link, Christopher
id: '38249'
last_name: Link
- first_name: Kevin
full_name: Malena, Kevin
id: '36303'
last_name: Malena
orcid: 0000-0003-1183-4679
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Link C, Malena K, Gausemeier S, Trächtler A. 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. SCITEPRESS - Science and Technology Publications; 2023. doi:10.5220/0011987600003479'
apa: Link, C., Malena, K., Gausemeier, S., & Trächtler, A. (2023). Simulation
Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent
Transport Systems. 9th International Conference on Vehicle Technology and
Intelligent Transport Systems (VEHITS 2023), Prague, Czech Republic. https://doi.org/10.5220/0011987600003479
bibtex: '@inproceedings{Link_Malena_Gausemeier_Trächtler_2023, title={Simulation
Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios},
DOI={10.5220/0011987600003479},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology
and Intelligent Transport Systems}, publisher={SCITEPRESS - Science and Technology
Publications}, author={Link, Christopher and Malena, Kevin and Gausemeier, Sandra
and Trächtler, Ansgar}, year={2023} }'
chicago: Link, Christopher, Kevin Malena, Sandra Gausemeier, and Ansgar Trächtler.
“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. SCITEPRESS - Science and Technology Publications,
2023. https://doi.org/10.5220/0011987600003479.
ieee: 'C. Link, K. Malena, S. Gausemeier, and A. Trächtler, “Simulation Environment
for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios,” presented
at the 9th International Conference on Vehicle Technology and Intelligent Transport
Systems (VEHITS 2023), Prague, Czech Republic, 2023, doi: 10.5220/0011987600003479.'
mla: Link, Christopher, et al. “Simulation Environment for Traffic Control Systems
Targeting Mixed Autonomy Traffic Scenarios.” Proceedings of the 9th International
Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS
- Science and Technology Publications, 2023, doi:10.5220/0011987600003479.
short: 'C. Link, K. Malena, S. Gausemeier, A. Trächtler, in: Proceedings of the
9th International Conference on Vehicle Technology and Intelligent Transport Systems,
SCITEPRESS - Science and Technology Publications, 2023.'
conference:
end_date: 2023-04-28
location: Prague, Czech Republic
name: 9th International Conference on Vehicle Technology and Intelligent Transport
Systems (VEHITS 2023)
start_date: 2023-04-26
date_created: 2023-05-03T08:57:10Z
date_updated: 2023-05-03T09:15:19Z
department:
- _id: '153'
doi: 10.5220/0011987600003479
keyword:
- Traffic Simulation
- Traffic Control
- Car2X
- Mixed Autonomy
- Autonomous Vehicles
- SUMO
- Sensor Simulation
- Traffic Demand Generation
- Routing
- Traffic Lights
- Graph Analysis
- Traffic Observer
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/Link.aspx?doi=10.5220/0011987600003479
publication: Proceedings of the 9th International Conference on Vehicle Technology
and Intelligent Transport Systems
publication_identifier:
isbn:
- 978-989-758-652-1
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
quality_controlled: '1'
status: public
title: Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy
Traffic Scenarios
type: conference
user_id: '38249'
year: '2023'
...
---
_id: '24159'
abstract:
- lang: eng
text: "The online fitting of a microscopic traffic simulation model to reconstruct
the current state of a real traffic\r\narea can be challenging depending on the
provided data. This paper presents a novel method based on limited\r\ndata from
sensors positioned at specific locations and guarantees a general accordance of
reality and\r\nsimulation in terms of multimodal road traffic counts and vehicle
speeds. In these considerations, the actual\r\npurpose of research is of particular
importance. Here, the research aims at improving the traffic flow by\r\ncontrolling
the Traffic Light Systems (TLS) of the examined area which is why the current
traffic state and\r\nthe route choices of individual road users are the matter
of interest. An integer optimization problem is derived\r\nto fit the current
simulation to the latest field measurements. The concept can be transferred to
any road traffic\r\nnetwork and results in an observation of the current multimodal
traffic state matching at the given sensor\r\nposition. First case studies show
promosing results in terms of deviations between reality and simulation."
author:
- first_name: Kevin
full_name: Malena, Kevin
id: '36303'
last_name: Malena
orcid: 0000-0003-1183-4679
- first_name: Christopher
full_name: Link, Christopher
id: '38249'
last_name: Link
- first_name: Sven
full_name: Mertin, Sven
id: '13195'
last_name: Mertin
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. Online State Estimation
for Microscopic Traffic Simulations using Multiple Data Sources*. In: VEHITS
2021 Proceedings of the 7th International Conference on Vehicle Technology and
Intelligent Transport Systems. Vol 7. VEHITS 2021 Proceedings of the 7th International
Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS;
2021:386-395.'
apa: Malena, K., Link, C., Mertin, S., Gausemeier, S., & Trächtler, A. (2021).
Online State Estimation for Microscopic Traffic Simulations using Multiple Data
Sources*. VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems, 7, 386–395.
bibtex: '@inproceedings{Malena_Link_Mertin_Gausemeier_Trächtler_2021, place={Portugal},
series={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems}, title={Online State Estimation
for Microscopic Traffic Simulations using Multiple Data Sources*}, volume={7},
booktitle={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems}, publisher={SCITEPRESS}, author={Malena,
Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler,
Ansgar}, year={2021}, pages={386–395}, collection={VEHITS 2021 Proceedings of
the 7th International Conference on Vehicle Technology and Intelligent Transport
Systems} }'
chicago: 'Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar
Trächtler. “Online State Estimation for Microscopic Traffic Simulations Using
Multiple Data Sources*.” In VEHITS 2021 Proceedings of the 7th International
Conference on Vehicle Technology and Intelligent Transport Systems, 7:386–95.
VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
and Intelligent Transport Systems. Portugal: SCITEPRESS, 2021.'
ieee: K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Online State
Estimation for Microscopic Traffic Simulations using Multiple Data Sources*,”
in VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
and Intelligent Transport Systems, Online Streaming, 2021, vol. 7, pp. 386–395.
mla: Malena, Kevin, et al. “Online State Estimation for Microscopic Traffic Simulations
Using Multiple Data Sources*.” VEHITS 2021 Proceedings of the 7th International
Conference on Vehicle Technology and Intelligent Transport Systems, vol. 7,
SCITEPRESS, 2021, pp. 386–95.
short: 'K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: VEHITS 2021
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent
Transport Systems, SCITEPRESS, Portugal, 2021, pp. 386–395.'
conference:
end_date: 2021-04-30
location: Online Streaming
name: 7th International Conference on Vehicle Technology and Intelligent Transport
Systems
start_date: 2021-04-28
date_created: 2021-09-10T12:19:14Z
date_updated: 2026-01-26T08:49:53Z
department:
- _id: '153'
intvolume: ' 7'
keyword:
- Microscopic Traffic Simulation
- Online State Estimation
- Mixed Road Users
- Sensor Fusion
- Integer Programming
- Route Choice
- Vehicle2Infrastructure
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
page: 386-395
place: Portugal
project:
- _id: '688'
name: Pilotprojekt "Schlosskreuzung"
publication: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems
publication_identifier:
isbn:
- 978-989-758-513-5
publication_status: published
publisher: SCITEPRESS
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
record:
- id: '33849'
relation: is_continued_by
status: public
series_title: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
Technology and Intelligent Transport Systems
status: public
title: Online State Estimation for Microscopic Traffic Simulations using Multiple
Data Sources*
type: conference
user_id: '36303'
volume: 7
year: '2021'
...