VANET, ITS, DSRC, Fog and Smoke, Air Density, Visibility


Automotive Engineering | Computer Engineering | Navigation, Guidance, Control, and Dynamics

Original Citation

El-Said, M., Bhuse, V., & Arendsen, A. (2017). An Empirical Study to Investigate the Effect of Air Density Changes on the DSRC Performance. Procedia Computer Science, 114, 523–530.


The primary role of Intelligent Transportation Systems (ITS) system is to implement Advanced Driver Assistance Services (ADAS) such as pedestrian detection, fog detection and collisions avoidance. These services rely on detecting and communicating the environment conditions such as heavy rain or snow with nearby vehicles to improve the driver's visibility. ITS systems rely on DSRC to communicate this information via a Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) communications architectures. DSCR performance may be susceptible to environmental changes such as air density, gravitation (gravitational acceleration), air temperature, atmospheric pressure, humidity, and precipitation.

The goal of this research is to investigate whether the DSRC performance persist with respect to air density changes in a foggy environment. Simulation experiments are setup using PreScan to study the influence of changing the air density on the DSRC performance in a foggy environment using V2V communications. The PreScan simulation experiments are carried out over a wide range of air density levels that start from an extremely low value of (0.05 kg/m3), a normal air density level of 1.28 kg/m3 to a high altitude with air density level of (50 kg/m3). The study uses this wide range of air density levels to allow us to determine the influence of the air density on the DSRC performance and explore any performance inconsistency if there is any. The research findings proved that the DSRC performance can persist through air density changes, which helps to make up for lost human visibility on roads during foggy times. This finding aims to promote safe highway operations in foggy conditions.