Vehicle-to-vehicle communications in mixed passenger-freight convoys : [final report].

Molisch, Andreas F; Renaudin, Olivier; Huang, Heye · 2016 · ROSA P / METRANS Transportation Center (Calif.)

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Summary

This report addresses the critical need for reliable Vehicle-to-Vehicle (V2V) communications in mixed-traffic convoys comprising both passenger cars and freight trucks. While vehicle platooning offers significant benefits in fuel efficiency, traffic density, and safety, it requires low-latency, robust wireless links to prevent chain-reaction accidents and coordinate automated control. Although the IEEE 802.11p standard is widely adopted for V2V communication, existing research has largely focused on passenger-car-only scenarios. This study fills a gap by investigating propagation channels and communication performance in mixed-traffic environments, specifically examining links between trucks and cars, and scenarios where trucks obstruct line-of-sight between passenger vehicles. To achieve this, the researchers developed a real-time Multiple-Input Multiple-Output (MIMO) channel sounder based on software-defined radio platforms, synchronized via GPS-disciplined rubidium clocks. They constructed 8-element vertically polarized uniform circular dipole antenna arrays to capture double-directional channel characteristics. Extensive measurement campaigns were conducted in urban, suburban, and highway environments in Los Angeles, covering various mixed-traffic scenarios. The collected data were processed using the RiMAX algorithm to estimate channel parameters, which were then used to parametrize a Geometry-based Stochastic Channel Model (GSCM). This model accounts for discrete and diffuse scatterers, allowing for the simulation of non-stationary channels and MIMO properties. The parametrized channel models served as inputs for a custom-built IEEE 802.11p simulator, which performed symbol-by-symbol simulations of both the Physical Layer (PHY) and Medium Access Control (MAC) layers. This framework allowed the researchers to evaluate the probability of successful communication, bit error rates, and latency under realistic mixed-traffic conditions. The simulations specifically assessed the impact of truck-induced blockages and the potential for multi-hop communication strategies to resolve connectivity failures where direct links are obstructed. The findings provide essential data for designing convoy policies, enhanced automated driver assistance systems, and self-driving car technologies. By characterizing the propagation channels in mixed-traffic scenarios, the study demonstrates that while direct communications can be compromised by truck obstructions, robust methods like multi-hop relaying can maintain connectivity. The resulting reliability and latency metrics offer a reproducible evaluation framework for IEEE 802.11p systems, highlighting the necessity of accounting for mixed-traffic dynamics in the development of future intelligent transportation systems.

Key finding

The study provides measured channel data and simulation results for IEEE 802.11p communications in mixed traffic scenarios, demonstrating how direct communication reliability is affected by truck obstructions and enabling the analysis of multi-hop solutions.

Methodology

field_study

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (7 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• v2x connected vehicle