Modeling of V2V Channels During Overtaking Maneuvers with Realistic 3D Mobility Patterns

This paper presents a new three-dimensional (3D) geometry-based statistical model (GBSM) of vehicle-to-vehicle (V2V) channels for the analysis of overtaking maneuvers. The 3D trajectories of the two vehicles involved in the maneuver are described by high-order polynomials. The coefficients of such polynomials are computed from real-world mobility patterns recorded in a measurement experiment conducted in a highspeed highway. The high-order polynomial trajectories allow a realistic characterization of the channel response at multiple observation time intervals from start to end of an overtaking. This differs from other GBSM for V2V channels in the state of the art, which consider linear or quadratic models that conform to rapidly changing mobility patterns only within a short-length window. Owing to its flexibility, the 3D GBSM of V2V channels presented in this paper can be used as a baseline for the design of V2V channel simulators with realistic mobility patterns.

Authors

Institutions

Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999725
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of V2V Channels During Overtaking Maneuvers with Realistic 3D Mobility Patterns

Jorge D. Cárdenas, Carlos Gutiérrez, José Rodríguez-Piñeiro, Raúl A. Fabián-Rodríguez
1 citations
Electric and Hybrid Vehicle Technologies
0.68
article

Modeling of V2V Channels During Overtaking Maneuvers with Realistic 3D Mobility Patterns

Jorge D. Cárdenas, Carlos Gutiérrez, José Rodríguez-Piñeiro, Raúl A. Fabián-Rodríguez
article en
1 citations

Abstract

This paper presents a new three-dimensional (3D) geometry-based statistical model (GBSM) of vehicle-to-vehicle (V2V) channels for the analysis of overtaking maneuvers. The 3D trajectories of the two vehicles involved in the maneuver are described by high-order polynomials. The coefficients of such polynomials are computed from real-world mobility patterns recorded in a measurement experiment conducted in a highspeed highway. The high-order polynomial trajectories allow a realistic characterization of the channel response at multiple observation time intervals from start to end of an overtaking. This differs from other GBSM for V2V channels in the state of the art, which consider linear or quadratic models that conform to rapidly changing mobility patterns only within a short-length window. Owing to its flexibility, the 3D GBSM of V2V channels presented in this paper can be used as a baseline for the design of V2V channel simulators with realistic mobility patterns.

Tongji University (CN)
Openalex Percentile: Top 30%
Electric and Hybrid Vehicle Technologies
0.68
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.

Modeling of V2V Channels During Overtaking Maneuvers with Realistic 3D Mobility Patterns — Jorge D. Cárdenas, Carlos Gutiérrez, et al. · (2025) | TGRS Research Map | TGRS