A multi-agent autonomous intersection management (MA-AIM) system for smart cities leveraging edge-of-things and Blockchain

【Author】 Buzachis, Alina; Celesti, Antonio; Galletta, Antonino; Fazio, Maria; Fortino, Giancarlo; Villari, Massimo

【Source】INFORMATION SCIENCES

【影响因子】8.233

【Abstract】The growing trend of people moving around urban areas requires more intelligent transportation-support services in smart cities. In this context, the number of traffic collisions, especially in intersections, has rapidly increased as well as the number of vehicles. The leading cause of this is represented by human errors in recognition and decision making. Thus, the development of secure Autonomous Intersection Management (AIM) systems is an emerging challenge. In this paper, we propose a Multi-Agent AIM (MA-AIM) system based on Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Vehicle (I2V) communications able to safely manage vehicles crossing through an intersection leveraging both Edge of Things (EoT) and Blockchain facilities. The proposed system includes an Intersection Manager Agent (IMA) that: i) interacts with vehicles through Driver Agents (DAs) installed on them in an EoT environment, and ii) uses Blockchain mechanisms in order to orchestrate the passage of vehicles crossing the intersection safely. In particular, we implemented a proof-of-concept integrating the AIM 4.0 simulator with Hyperledger Fabric (implementing Blockchain capabilities) and with Node-RED (implementing V2I/I2V communications in an EoT environment). Preliminary experiments show the feasibility and potentiality of our solution. (C) 2020 Elsevier Inc. All rights reserved.

【Keywords】Vehicular cloud computing; Edge computing; Internet of things; Blockchain; Accident prevention; Intersection management

【发表时间】2020 JUN

【收录时间】2022-01-02

【文献类型】

【主题类别】

--