Advanced Traffic Signal Control Algorithms

Molisch, Andreas F; Renaudin, Olivier · 2016 · ROSA P / California. Department of Transportation

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Summary

This research addresses the critical need for reliable Vehicle-to-Vehicle (V2V) communications in mixed-traffic convoys comprising both trucks and passenger cars. While IEEE 802.11p is the established standard for V2V communication, existing performance data largely ignores scenarios involving heavy trucks, which significantly alter propagation channels through obstruction and scattering. The study aims to characterize these mixed-traffic propagation channels to support the development of automated driver assistance, convoy policies, and self-driving car systems that require low-latency, robust communication to maintain safety and efficiency. To achieve this, the researchers conducted extensive measurement campaigns using a custom-built, real-time Multiple-Input Multiple-Output (MIMO) channel sounder based on software-defined radio platforms. The equipment operated at 5.9 GHz with a 15 MHz bandwidth and utilized GPS-disciplined rubidium clocks for high-precision synchronization. Measurements were performed across urban, suburban, and highway environments, capturing data for specific scenarios: truck-to-truck, car-to-car obstructed by trucks, and truck-to-car communications. The collected data were processed using the RiMAX algorithm to estimate channel parameters, which were then used to develop a Geometry-based Stochastic Channel Model (GSCM). This model characterizes the double-directional properties of the propagation channel, including discrete scatterer contributions and diffuse multipath components. The parametrized channel models served as inputs for a detailed IEEE 802.11p communication system simulator, which modeled both the Physical (PHY) and Medium Access Control (MAC) layers. The simulations evaluated the probability of successful communication and analyzed robust methods, such as multi-hop relaying, to resolve instances where direct line-of-sight communications were blocked by trucks. The results provided specific insights into bit error rates and link reliability under various mixed-traffic conditions, highlighting the degradation of signal quality when trucks obstruct the path between passenger vehicles. The significance of this work lies in its provision of empirically validated channel models for mixed-traffic environments, a gap previously unaddressed in open literature. By quantifying the performance limitations of IEEE 802.1p in the presence of trucks, the study offers critical design inputs for convoy control systems. The findings enable the development of more resilient communication strategies, such as adaptive multi-hop routing, ensuring that automated convoys can maintain safe inter-vehicle distances and coordinate effectively even when direct communication links are compromised by large freight vehicles.

Key finding

Direct IEEE 802.11p communication between passenger cars is significantly degraded or blocked when obstructed by trucks, necessitating robust multi-hop communication methods for reliable convoy operations.

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 (6 acquisition events logged).

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

Topics

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• v2x connected vehicle