RT Journal Article
T1 An Edge-Based Framework for Enhanced Road Safety of Connected Cars
A1 Malinverno, Marco
A1 Mangues-Bafalluy, Josep
A1 Casetti, Claudio E.
A1 Chiasserini, Carla Fabiana
A1 Requena-Esteso, Manuel
A1 Baranda, Jorge
AB In this paper, we present an enhanced Collision Avoidance (eCA) service that leverages vehicle connectivity through a cellular network to avoid vehicle collisions and increase road safety at intersections. The eCA service is assumed to be deployed at the edge of the network, thus curbing the latency incurred by the communication process. The core of the eCA service is composed of a Collision Avoidance Algorithm (CAA), and a Collision Avoidance Strategy (CAS). The former predicts the vehicle's future trajectory through the positional information advertised by periodic beacons and detects if two vehicles are on a collision course. The latter decides which of the vehicles potentially involved in a collision should yield. The vehicles are then notified of both the impending danger and of the actions needed to avoid it. We have simulated our solution using SUMO (Simulation of Urban MObility) and ns-3 (network simulator 3) with the LENA (LTE-EPC Network simulAtor) framework on a Manhattan-grid road topology, and observed its good performance in terms of avoided collisions percentage as a function of vehicle speed and different vehicles densities.
PB IEEE
SN 2169-3536
YR 2020
FD 2020-03-16
LK https://hdl.handle.net/10016/30545
UL https://hdl.handle.net/10016/30545
LA eng
NO This work was supported by the EU Commission through the H2020 5G-TRANSFORMER project (Grant No. 761536) and the H2020 5GROWTH project (Grant No. 856709), by the CARS Interdepartmental Lab at Politecnico di Torino, by the Spanish MINECO Grant TEC2017- 88373-R (5G-REFINE), and by the Generalitat de Catalunya Grant 2017 SGR 1195.
DS e-Archivo
RD 27 jul. 2024