A Study on Reducing Traffic Congestion in the Roadside Unit for Autonomous Vehicles Using BSM and PVD

Abstract

With the rapid advancement of autonomous vehicles reshaping urban transportation, the importance of innovative traffic management solutions has escalated. This research addresses these challenges through the deployment of roadside units (RSUs), aimed at enhancing traffic flow and safety within the autonomous driving era. Our research, conducted in diverse road settings such as straight and traffic circle roads, delves into the RSUs’ capacity to diminish traffic density and alleviate congestion. Employing vehicle-to-infrastructure communication, we can scrutinize its essential role in navigating autonomous vehicles, incorporating basic safety messages (BSMs) and probe vehicle data (PVD) to accurately monitor vehicle presence and status. This paper presupposes the connectivity of all vehicles, contemplating the integration of on-board units or on-board diagnostics in legacy vehicles to extend connectivity, albeit this aspect falls beyond the work’s current ambit. Our detailed experiments on two types of roads demonstrate that vehicle behavior is significantly impacted when density reaches critical thresholds of 3.57% on straight roads and 34.41% on traffic circle roads. However, it is important to note that the identified threshold values are not absolute. In our experiments, these thresholds represent points at which the behavior of one vehicle begins to significantly impact the flow of two or more vehicles. At these levels, we propose that RSUs intervene to mitigate traffic issues by implementing measures such as prohibiting lane changes or restricting entry to traffic circles. We propose a new message set in PVD for RSUs: road balance. Using this message, RSUs can negotiate between vehicles. This approach underscores the RSUs’ capability to actively manage traffic flow and prevent congestion, highlighting their critical role in maintaining optimal traffic conditions and enhancing road safety.

Leveraging 5G Technology to Investigate Energy Consumption and CPU Load at the Edge in Vehicular Networks

“…The Intelligent Vehicle Infrastructure Cooperative System is central to intelligent transportation, epitomizing vehicular cooperation. This system encompasses vehicle-tovehicle communication (V2V), vehicle-to-infrastructure communication (V2I), vehicle-topedestrian communication (V2P), and vehicle-to-Internet communication (V2N), collectively referred to as vehicle-to-everything (V2X) [10][11][12][13][14]. It represents the optimal solution, facilitating data exchange among vehicles and entities to provide precise knowledge of the surrounding environment, thereby enhancing traffic safety and efficiency.…”

Analysis of the Relationship between Fuel Prices and Vehicle Numbers in Urban Road Networks

“…Emissions emanating from vehicular propulsion mechanisms, comprising noxious compounds such as nitrogen oxides and particulate matter, engender atmospheric contamination within urban environs, precipitating deleterious health consequences for denizens. Presently, burgeoning scholarly interest is being accorded to electric vehicular modalities and their concomitant impacts on traffic dynamics and urban pollution indices [6][7][8]. Factors subjected to meticulous analysis encompass not only emissions [4,7,9] but also acoustic pollution [10,11].…”