Title
A robustness approach to the distributed management of traffic intersections
Abstract
Nowadays, the development of autonomous vehicles has emerged as an approach to considerably improve the traffic management in urban zones. Thanks to automation in vehicles as well as in other sectors, the probability of errors, typically due to repetitive tasks, has been drastically reduced. Therefore, technological aids in current driving systems are aimed to avoid or reduce human errors like imprudences or distractions. According to this, it is possible to tackle complex scenarios such as the automation of the vehicles traffic at intersections, as this is one of the points with the highest probability of accidents. In this sense, the coordination of autonomous vehicles at intersections is a trending topic. In the last few years, several approaches have been proposed using centralized solutions. However, centralized systems for traffic coordination have a limited fault-tolerance. This paper proposes a distributed coordination management system for intersections of autonomous vehicles through the employment of some well-defined rules to be followed by vehicles. To validate our proposal, we have developed different experiments in order to compare our proposal with other centralized approaches. Furthermore, we have incorporated the management of communication faults during the execution in our proposal. This improvement has also been tested in front of centralized or semi-centralized solutions. The introduction of failures in the communication process demonstrates the sensitivity of the system to possible disturbances, providing a satisfactory coordination of vehicles during the intersection. As final result, our proposal is kept with a suitable flow of autonomous vehicles still with a high communication fails rate.
Year
DOI
Venue
2020
10.1007/s12652-019-01424-w
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Keywords
DocType
Volume
Traffic intersection management,Vehicle coordination,Self-organized systems,Multiagent systems
Journal
11.0
Issue
ISSN
Citations 
SP11.0
1868-5137
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Cesar L. González100.34
Jorge L. Zapotecatl200.34
Carlos Gershenson339242.34
Juan M. Alberola410917.14
Vicente Julián554687.40