Authors:
Albert Solernou, Evangelos Paschalidis, Mohamed Hasan, He Wang, Gustav Markkula, Richard Romano
Keywords:
game theory, merging, mircosimulation, human-like
Abstract:
Solernou A.; Paschalidis E.; Hasan M.; Wang H.; Markkula G. and Romano R. Performance comparison of lane-changing models for merging scenarios in traffic simulation for driving simulators In: Proceedings of the Driving Simulation Conference 2021 Europe VR, Driving Simulation Association, Munich, Germany, 2021, pp. 109-116
Download .txt file
@inproceedings{Solernou2021,
title = {Performance comparison of lane-changing models for merging scenarios in traffic simulation for driving simulators},
author = {Albert Solernou and Evangelos Paschalidis and Mohamed Hasan and He Wang and Gustav Markkula and Richard Romano},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year = {2021},
date = {2021-09-14},
booktitle = {Proceedings of the Driving Simulation Conference 2021 Europe VR},
pages = {109-116},
address = {Munich, Germany},
organization = {Driving Simulation Association},
abstract = {Virtual intelligent traffic is essential for an immersive experience in a driving simulator, and crucial for obtaining reliable results in complex scenarios. However, current research has not focused on actors with humanlike behaviour in driver behaviour models. The current paper presents results from a series of game theory based lane-changing models specifically designed for motorway merging situations. Different models were implemented in SmartActors, a newly developed microscopic traffic simulation platform and were tested in two different scenarios, one of which was a simulated road layout of the I-80 motorway, for which real traffic data is available from the NGSIM project. The results from the base merge scenario showed that trade-offs occurred between traffic and safety performance of the models as models that let to higher traffic throughput also let to higher number of crashes and unsafe merge behaviour. Results from the I-80 scenario showed that the road layout may affect the performance of the models, when compared to a base scenario with a shorter acceleration lane. As a conclusion, game theory models can be used for microsimulation applications, although in some cases additional restrictions to their original specification may need to be implemented to ensure safe performance.},
keywords = {game theory, human-like, merging, mircosimulation},
}
Download .bib file
TY - CONF
TI - Performance comparison of lane-changing models for merging scenarios in traffic simulation for driving simulators
AU - Solernou, Albert
AU - Paschalidis, Evangelos
AU - Hasan, Mohamed
AU - Wang, He
AU - Markkula, Gustav
AU - Romano, Richard
C1 - Munich, Germany
C3 - Proceedings of the Driving Simulation Conference 2021 Europe VR
DA - 2021/09/14
PY - 2021
SP - 109
EP - 116
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2021/performance-comparison-of-lane-changing-models-for-merging-scenarios-in-traffic-simulation-for-driving-simulators
ER -
Download .ris file
Cite this article
Terms and Conditions for Downloading Driving Simulation Proceedings papers:
By downloading a scientific paper from proceedings.driving-simulation.org, you agree to the following terms and conditions:
- Personal Use Only:
The scientific paper provided on this website is solely for personal, educational, and non-commercial use. You may download and use the paper for your own reference and research purposes only.
- No Reproduction or Distribution:
You may not reproduce, distribute, transmit, publish, or otherwise make the paper available to any third party in any form, whether for commercial or non-commercial purposes, without the express written consent of the Driving Simulation Association.
- Copyright and Ownership:
The scientific paper is protected by copyright laws and is the intellectual property of the respective authors and publishers. All rights not expressly granted herein are reserved.
- Citation and Attribution:
If you use the scientific paper for research, presentations, or any other non-commercial purposes, you must provide appropriate citation and attribution to the original authors as per academic standards.
- No Modification:
You may not modify, alter, or adapt the content of the scientific paper in any way.
- Disclaimer:
The Driving Simulation Association makes no representations or warranties regarding the accuracy, completeness, or suitability of the scientific paper for any particular purpose. The paper is provided as-is, without any warranties, express or implied. The Driving Simulation Association reserves the right to terminate or restrict access to the scientific paper at any time and without notice.