Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9798350311143 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italien Dauer: 20 Juni 2023 → 23 Juni 2023 |
Publikationsreihe
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Band | 2023-June |
| ISSN (Print) | 1550-2252 |
Abstract
The Maneuver Coordination Service (MCS) is currently undergoing standardization by the European Telecommunications Standards Institute (ETSI). This service will give connected vehicles the opportunity to share their planned, desired, and suggested trajectories while traveling on the road. While MCS will share channel bandwidth with other services and road users, it is crucial to conserve the sent data to the most important ones for the channel's economy. In this work, we present a message generation technique based on the Value of Information of the vehicle's planned trajectory. We implement the proposed approach in a simulator and compare it to other rule-based and fixed-frequency message generation techniques. We test these approaches in an urban scenario and the results show that our proposed algorithm delivers a better channel busy ratio compared to other message generation techniques without sacrificing precision in object tracking.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Mathematik (insg.)
- Angewandte Mathematik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference; Band 2023-June).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Message Generation Algorithm for Maneuver Coordination Based on Value of Information
AU - Xhoxhi, Edmir
AU - Li, Shule
AU - Schiegg, Florian Alexander
N1 - Funding Information: ACKNOWLEDGEMENTS This paper was funded by the Deutsche Forschungsgemein-schaft (DFG, German Research Foundation) - project number 227198829 / GRK1931.
PY - 2023
Y1 - 2023
N2 - The Maneuver Coordination Service (MCS) is currently undergoing standardization by the European Telecommunications Standards Institute (ETSI). This service will give connected vehicles the opportunity to share their planned, desired, and suggested trajectories while traveling on the road. While MCS will share channel bandwidth with other services and road users, it is crucial to conserve the sent data to the most important ones for the channel's economy. In this work, we present a message generation technique based on the Value of Information of the vehicle's planned trajectory. We implement the proposed approach in a simulator and compare it to other rule-based and fixed-frequency message generation techniques. We test these approaches in an urban scenario and the results show that our proposed algorithm delivers a better channel busy ratio compared to other message generation techniques without sacrificing precision in object tracking.
AB - The Maneuver Coordination Service (MCS) is currently undergoing standardization by the European Telecommunications Standards Institute (ETSI). This service will give connected vehicles the opportunity to share their planned, desired, and suggested trajectories while traveling on the road. While MCS will share channel bandwidth with other services and road users, it is crucial to conserve the sent data to the most important ones for the channel's economy. In this work, we present a message generation technique based on the Value of Information of the vehicle's planned trajectory. We implement the proposed approach in a simulator and compare it to other rule-based and fixed-frequency message generation techniques. We test these approaches in an urban scenario and the results show that our proposed algorithm delivers a better channel busy ratio compared to other message generation techniques without sacrificing precision in object tracking.
KW - Maneuver Coordination Message
KW - Message Generation Techniques
KW - Value of Information
UR - http://www.scopus.com/inward/record.url?scp=85169827869&partnerID=8YFLogxK
U2 - 10.1109/VTC2023-Spring57618.2023.10199647
DO - 10.1109/VTC2023-Spring57618.2023.10199647
M3 - Conference contribution
AN - SCOPUS:85169827869
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Y2 - 20 June 2023 through 23 June 2023
ER -