Title :
Optimizing road traffic of emergency vehicles
Author :
Elmandili, Hasnaa ; Toulni, Hamza ; Nsiri, Benayad
Author_Institution :
Fac. of Sci., Hassan II Univ., Casablanca, Morocco
Abstract :
In our application, and in the context of optimizing the flow of an emergency vehicle in time, we will rely on two tools (mathematics and computer science) in order to avoid delays and risks that characterize the movement of these vehicles. We will use VANET networks as a transmission system to retrieve information about the road incident, and after that, we shall use the Kalman algorithm for tracking our vehicle clarify to specify its position on the predefined path in order to intervene and change its direction towards a safer driving at the same point.
Keywords :
Kalman filters; road traffic; road vehicles; vehicular ad hoc networks; Kalman algorithm; VANET networks; emergency vehicles; information retrieval; road traffic; vehicle tracking; Kalman filters; Mathematical model; Roads; Safety; Time measurement; Vehicles; Vehicular ad hoc networks; Kalman; SUMO; VANET;
Conference_Titel :
Advanced Logistics and Transport (ICALT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-0314-6
DOI :
10.1109/ICAdLT.2013.6568435