Int. J. Vehicle Safety, Vol. 7, No. 2, 2014 147 Copyright © 2014 Inderscience Enterprises Ltd. Forecasting approach in VANET based on vehicle kinematics for road safety Djamel Bektache*, Chérif Tolba and Nassira Ghoualmi-Zine Systems and Networks Laboratory, Department of Computer Science, Badji Mokhtar University, Annaba, Algeria Email: djamel_bektache@yahoo.com Email: cherif.tolba@univ-annaba.org Email: ghoualmi@yahoo.fr *Corresponding author Abstract: This paper deals with the forecasting of collision events for road safety. Using significant parameters of each vehicle, such as position, speed and direction, it is possible to contribute to improving the road safety. We present a collaborative forecasting module in intersection scenario for collision avoidance. The proposed module is focused on the estimation of these parameters using a kinematic model of each vehicle to generate the trajectories estimation. The first simulation results show and assess that the vehicle trajectories estimated with the suggested kinematic modelling are realistic in all critical cases. The main goal of the suggested forecasting approach is to detect and avoid collision. On the basis of these trajectories estimation, the future occurrence of the collision event can be calculated, an alert must be generated and this will trigger the forecasting module in order to avoid collision. In addition, the second part of the simulation proves that the proposed forecast scenario is excellent for collision avoidance. Keywords: vehicle kinematic; trajectories estimation; forecasting module; collision; detection; avoidance; road safety. Reference to this paper should be made as follows: Bektache, D., Tolba, C. and Ghoualmi-Zine, N. (2014) ‘Forecasting approach in VANET based on vehicle kinematics for road safety’, Int. J. Vehicle Safety, Vol. 7, No. 2, pp.147–167. This paper is a revised and expanded version of a paper entitled ‘Forecasting approach in VANET based on vehicle collision alert’ presented at the ‘International IEEE Conference Publication on Multimedia Computing and Systems (ICMCS’12)’, 10–12 May 2012, Tangiers, Morocco. 1 Introduction Faced with the growing development of Intelligent Transportation Systems (ITS) and with the arrival of the embedded telematics, vehicles are becoming more and more sophisticated. Thus to make the intelligent traffic road, i.e. communicative and