Joint Routing and Control Optimization in VANET

TL;DR

This paper presents DynaRoute, an adaptive framework for joint routing and control in vehicular networks that improves data transmission reliability and platoon stability through real-time trajectory prediction and vehicle coordination.

Contribution

It introduces DynaRoute, a novel adaptive joint optimization framework that integrates platoon control and data routing based on real-time vehicle trajectories.

Findings

DynaRoute maintains platoon stability and reliable data transmission in complex scenarios.

The framework significantly improves throughput and reliability over traditional methods.

Simulation results validate the effectiveness of DynaRoute in dynamic vehicular environments.

Abstract

In this paper, we introduce DynaRoute, an adaptive joint optimization framework for dynamic vehicular networks that simultaneously addresses platoon control and data transmission through trajectory-aware routing and safety-constrained vehicle coordination. DynaRoute guarantees continuous vehicle movement via platoon safety control with optimizing transmission paths through real-time trajectory prediction and ensuring reliable data. Our solution achieves three key objectives: (1) maintaining platoon stability through accurate data transmission, (2) enabling adaptive routing based on vehicle movement patterns, and (3) enhancing overall intelligent transportation system performance. DynaRoute equires predefined traffic models and adapts to dynamic network conditions using local vehicle state information. We present comprehensive simulation results demonstrating that DynaRoute maintains control and transmission performance in multiple complex scenarios while significantly improving throughput and reliability compared to traditional approaches.