A Performance Study of Mobility Speed Effects on Vehicle Following Control via V2V MIMO Communications
Jerawat Sopajarn, Apidet Booranawong, Surachate Chumpol, Nattha Jindapetch, Okuyama Yuichi, Hiroshi Saito
TL;DR
This study examines how vehicle speed and communication types affect the performance of autonomous vehicle following control using V2V communications.
Contribution
A system-level framework is proposed to evaluate the effects of mobility speed and communication types on vehicle following control.
Findings
SISO communication quality worsens at lower speed differences, causing unstable vehicle control.
MIMO communication outperforms SISO by reducing signal loss and improving decision-making.
Higher follower vehicle speeds improve SISO communication quality due to decreased distance.
Abstract
Vehicle-to-vehicle (V2V) communications are important for intelligent transportation system (ITS) development for driving safety, traffic efficiency, and the development of autonomous vehicles. V2V communication channels, environments, mobility patterns, and mobility speed significantly affect the accuracy of autonomous vehicle control. In this paper, we propose a versatile system-level framework that can be used for investigation, experimentation, and verification to expedite the development of autonomous vehicles. Once vehicle functionality, communication channels, and driving scenarios were modelled, experiments with different mobility speeds and communication channels were set up to measure the communication quality and the effects on the vehicle’s following control. In our experiment, the leader vehicle was set to travel through a high-building environment with a constant speed of…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Power Line Communications and Noise · Advanced MIMO Systems Optimization