Title :
Presenting a Model to Car Collision Avoidance Using Fluid Stochastic Petri Net
Author :
Yazdanpanah, S. ; Kourdy, R.
Author_Institution :
Abad Branch, Fac. of Sci., Islamic Azad Univ. Khorram, Iran
Abstract :
In recent years road accidents have brought considerable death. The issue of safe road and safe car is one of the most important issues that are discussed nowadays in transportation area. One of the ways to decrease unpleasant accidents of traffic flows is to attract the attention of vehicles to maximum speed and safe distance. The controlling system discussed here is based on discrete quantities like distance, speed and acceleration. The present paper is a typical compound system which uses a special kind of fluid stochastic Petri net (FSPN). FSPN includes a suitable formula for models and analysis of these systems. It is also a safe method to prevent car collision. FSPN is used for a controller displaying that creates three sub models of movement of three directly communicated cars and the main car calculates the allowable distance using the speed of front and back cars which is determined in network. When the distance of two successive cars is lower than the specific distance, it alarms the driver of main car at the danger of collision. In addition, if the distance of front and main car is low, it will reduces the speed of main car. If the distance of main and back car is decreased, It increases the speed of main car.
Keywords :
Petri nets; automobiles; collision avoidance; road accidents; road safety; road traffic; stochastic processes; traffic control; car collision avoidance; discrete quantity; fluid stochastic Petri net; road accident; road safety; road vehicle; traffic flow; transportation; Acceleration; Collision avoidance; Control systems; Fluid flow control; Road accidents; Road transportation; Stochastic processes; Stochastic systems; Traffic control; Vehicle safety; petri net;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.422