Impact of 5G NR-V2X Message Losses on Connected Vehicle Warning Functions

Cooperative warning functions depend on whether V2X information becomes available in time to influence vehicle control. This article presents an event-based co-simulation framework coupling SUMO, ns-3 (ms-van3t), 5G-LENA NR sidelink and application records, with Sionna RT enabled for the intersection scenario. In 140 emergency-vehicle-warning runs, reducing mean packet reception ratio (PRR) from 0.9412 to 0.0675 accompanied an increase from 4.45 to 32.52 s in the median across runs of the within-run 90th percentile of first Cooperative Awareness Message (CAM) reception delay, measured from the sender’s first logged CAM transmission. At a fixed priority intersection, all endpoints were recomputed for the same nine complete-case runs per information mode, giving 27 runs. Median first controller-warning times were 2.068 s with high-quality V2X, 4.795 s with degraded V2X and 5.000 s with radar only. Collision records showed 0/9, 9/9 and 9/9 runs with the specified collision, respectively. This record-completeness-selected sample supports a scenario-specific comparison, not a population collision probability or a transferable safety threshold.

Authors

Institutions

Publication Details

Journal
Future Transportation
Published
2026-11-08
DOI
https://doi.org/10.3390/futuretransp6060264
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Impact of 5G NR-V2X Message Losses on Connected Vehicle Warning Functions

Vitaly G. Stepanyants, Aleksandr A. Amerikanov, A. Yu. Romanov, Andrey V. Fizulin
Future Transportation
Vehicular Ad Hoc Networks (VANETs)
article

Impact of 5G NR-V2X Message Losses on Connected Vehicle Warning Functions

Vitaly G. Stepanyants, Aleksandr A. Amerikanov, A. Yu. Romanov, Andrey V. Fizulin
article en

Abstract

Cooperative warning functions depend on whether V2X information becomes available in time to influence vehicle control. This article presents an event-based co-simulation framework coupling SUMO, ns-3 (ms-van3t), 5G-LENA NR sidelink and application records, with Sionna RT enabled for the intersection scenario. In 140 emergency-vehicle-warning runs, reducing mean packet reception ratio (PRR) from 0.9412 to 0.0675 accompanied an increase from 4.45 to 32.52 s in the median across runs of the within-run 90th percentile of first Cooperative Awareness Message (CAM) reception delay, measured from the sender’s first logged CAM transmission. At a fixed priority intersection, all endpoints were recomputed for the same nine complete-case runs per information mode, giving 27 runs. Median first controller-warning times were 2.068 s with high-quality V2X, 4.795 s with degraded V2X and 5.000 s with radar only. Collision records showed 0/9, 9/9 and 9/9 runs with the specified collision, respectively. This record-completeness-selected sample supports a scenario-specific comparison, not a population collision probability or a transferable safety threshold.

Future TransportationVol. 6(6)
National Research University Higher School of Economics (RU)
Vehicular Ad Hoc Networks (VANETs)
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon