Traffic Modeling and Performance Evaluation in Vehicle to Infrastructure 802.11p Network

In Intelligent Transportation Systems new applications based on cooperative approach are being created. These applications are characterized by the real time reconstruction of the driver environment used in combination of on-board sensors and cooperative system information. In this paper, we propose a traffic modeling and 802.11p access categories mapping of three main ITS services: warning to a foggy zone, interdistance measurement and road warning event. Then, we elaborate an ETSI layer modeling at large scale (facilities/network layer) and burst scale (MAC layer) in order to evaluate the performance of the three ITS services in a vehicular environment and prove ETSI architecture reliability to transport ITS applications. Analytical results match simulation results; this proves the accuracy of our mathematical modeling. Moreover, in traffic jam situation, we computed average packet loss rate and delay and identified the vehicles number range that leads to significant increase of QoS metrics. Performance analysis confirms that the service differentiation is well achieved with EDCA mechanism.