A Multi-layer and Vanet-based Approach to Improve Accident Management in Smart Cities

被引：3

作者：

Brandao, Yan, V ^{[1
]}

De Souza, Lucas M. ^{[1
]}

Gomides, Thiago S. ^{[1
]}

De Grande, Robson E. ^{[2
]}

Souza, Fernanda S. H. ^{[1
]}

Guidoni, Daniel L. ^{[1
]}

机构：

[1] Univ Fed Sao Joao del Rei, Dept Comp Sci, Sao Joao Del Rei, MG, Brazil

[2] Brock Univ, Dept Comp Sci, St Catharines, ON, Canada

来源：

16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) | 2020年

基金：

加拿大自然科学与工程研究理事会;

关键词：

Smart city; multi-layer; distributed algorithm; traffic and congestion management; SYSTEM;

D O I：

10.1109/DCOSS49796.2020.00037

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The growth in the number of traffic accidents has become a cause for concern in urban centers. As a result of the increase in population in large cities and the number of vehicles, the consequences of accidents and congestion can be even more significant, considering the impacts on the economy, environment and people's quality of life. Therefore, aiming to minimize these impacts, we present ALIVE, a distributed and Vanet-based solution that reduces congestion caused by different sources and, especially, from accident sources, contributing to efficient urban mobility in smart cities. The solution performs the detection of accidents and the dissemination of warning messages in multiple hops. Besides, the system can share the road traffic information with the nearby streets to improve traffic efficiency. We evaluated the proposed solution with PANDORA and NRR Traffic Management solutions. Simulation results indicate that the proposed solution reduces the average travel time, time lost, and the number of transmitted messages.

引用

页码：165 / 172

页数：8

共 22 条

[1] Cooperative Vehicular Networking: A Survey [J].

Ahmed, Ejaz ;

Gharavi, Hamid .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (03) :996-1014

[2]

[Anonymous], 2020, Road traffic injuries

[3] A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments [J].

Bhatti, Fizzah ;

Shah, Munam Ali ;

Maple, Carsten ;

Ul Islam, Saif .

SENSORS, 2019, 19 (09)

[4]

Chowdhury M, 2010, 15 INT TRANSP SYST W

[5]

de Souza A.M., 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), P1

[6] A Multi-Hop VANETs-Assisted Offloading Strategy in Vehicular Mobile Edge Computing [J].

Deng, Zizhen ;

Cai, Zhen ;

Liang, Mangui .

IEEE ACCESS, 2020, 8 :53062-53071

[7] Automatic accident detection with multi-modal alert system implementation for ITS [J].

Fernandes, Bruno ;

Alam, Muhammad ;

Gomes, Vitor ;

Ferreira, Joaquim ;

Oliveira, Arnaldo .

VEHICULAR COMMUNICATIONS, 2016, 3 :1-11

[8] An adaptive and Distributed Traffic Management System using Vehicular Ad-hoc Networks [J].

Gomides, Thiago S. ;

De Grande, Robson E. ;

de Souza, Allan M. ;

Souza, Fernanda S. H. ;

Villas, Leandro A. ;

Guidoni, Daniel L. .

COMPUTER COMMUNICATIONS, 2020, 159 :317-330

[9] FIRE-NRD: A fully-distributed and Vanet-based Traffic Management System for Next Road Decision [J].

Gomides, Thiago S. ;

Lourenco, Massilon L. ;

Souza, Fernanda S. H. ;

Villas, Leandro A. ;

Guidoni, Daniel L. .

2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), 2019, :554-561

[10] Vehicular Traffic Management Based on Traffic Engineering for Vehicular Ad Hoc Networks [J].

Guidoni, Daniel L. ;

Maia, Guilherme ;

Souza, Fernanda S. H. ;

Villas, Leandro A. ;

Loureiro, Antonio A. F. .

IEEE ACCESS, 2020, 8 :45167-45183

← 1 2 3 →