Title :
GARUDA: A New Geographical Accident Aware Solution to Reduce Urban Congestion
Author :
Allan Mariano de Souza;Roberto Sadao Yokoyama;Nelson Luis Saldanha da Fonseca;Rodolfo Ipolito Meneguette;Leandro Aparecido Villas
Author_Institution :
Inst. of Comput., Univ. of Campinas, Campinas, Brazil
Abstract :
In cities where the number of vehicles continuously increases faster than the available infrastructure, traffic congestion is a difficult issue to deal with. This problem becomes even worse in case of accidents that affects many aspects of the modern society, including economic development and CO2 emission. Several solutions for Intelligent Transportation Systems have been proposed to identify congestions and re-route the vehicles afterwards. This work introduces GARUDA, a fully distributed and pro-active intelligent traffic information system, which avoid congestions, calculates new routes, and notifies drivers to follow new paths proactively. Simulation results show the effectiveness of GARUDA. When compared to original vehicular mobility trace, GARUDA reduces the average trip time in approximately 53%, the overall CO 2 emission in 26% and the fuel consumption in 28%.
Keywords :
"Vehicles","Accidents","Fuels","Roads","Real-time systems","Vehicular ad hoc networks","Sensors"
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.85