Volume 16, Number 6
A Monte-Carlo Analysis between a Microscopic Model and a Mesoscopic Model for Vehicular Ad-Hoc Networks
Authors
Aslinda Hassan 1, Wahidah Md. Shah 1 and Mohammed Saad Talib 2, 1 Universiti Teknikal Malaysia Melaka, Malaysia, 2 University of Babylon, Iraq
Abstract
Vehicular Ad-hoc Networks (VANETs) are crucial for advancing intelligent transportation systems, enhancing road safety, and enabling efficient vehicle-to-vehicle and vehicle-to-infrastructure communications. However, accurately simulating vehicular environments' dynamic and complex nature remains a significant challenge. This study addresses this gap by benchmarking the performance of a mesoscopic model, which incorporates a lane-changing technique, against a microscopic model using Monte Carlo simulations. The microscopic model focuses on individual vehicle movements, considering driver behaviour and interactions, while the mesoscopic model captures traffic flow at the road segment or neighbourhood level. The updated mesoscopic model incorporates a lane change technique to better reflect realistic vehicle movements. The updated mesoscopic model generated approximately 350 to 400 vehicles in the simulations, with a narrow distribution and a peak frequency of about 120 vehicles. In contrast, the original microscopic model produced around 800 vehicles and had a wider distribution but exhibited a similar peak frequency. The revised model demonstrated a slight negative skewness of -0.1019, while the original model showed a slight positive skewness of 0.0618. Both models displayed negative kurtosis values, indicating lighter tails than a normal distribution. Notably, the original model had a more negative kurtosis of -0.2931, compared to -0.1742 for the revised model. These findings suggest that the microscopic model is more adept at capturing the variability of traffic flow, making it a more accurate reflection of real-world scenarios where vehicle interactions significantly impact vehicle dynamics during data transmissions.
Keywords
VANET; mobility model; microscopic; mesoscopic; Monte-Carlo