Title :
Traffic intensity estimation via PHD filtering
Author :
Battistelli, G. ; Chisci, L. ; Morrocchi, S. ; Papi, F. ; Benavoli, A. ; Lallo, A. Di ; Farina, A. ; Graziano, A.
Author_Institution :
DSI, Univ. di Firenze, Florence
Abstract :
The paper will address the estimation of road traffic intensity from available measurements of mobile vehiclespsila coordinates. To this end, the work will jointly exploit PHD (probability hypothesis density) filtering techniques based on the so called particle filter approach and road-map information.
Keywords :
estimation theory; particle filtering (numerical methods); probability; road traffic; PHD filtering; particle filter approach; road map information; road traffic intensity estimation; Electronic mail; Filtering; Filters; Monitoring; Position measurement; Radar tracking; Road vehicles; Target tracking; Vehicle detection; Yttrium;
Conference_Titel :
Radar Conference, 2008. EuRAD 2008. European
Conference_Location :
Amsterdam
Print_ISBN :
978-2-87487-009-5