V2V Mobility Modeling and Simulation Using PBC Messages for Traffic Congestion Mitigation

Abstract

Traffic congestion is a natural phenomenon that seems to be a routine for the people who lived in urban areas. The traffic congestion has become a significant factor in disrupting traffic flows. The rate of growth of vehicles in several major cities is increasingly difficult to be balanced by the development of road infrastructure. Various methods have been tested to solve this problem, but there are no ideal results. The presence of Vehicular Ad-hoc Networks (VANETs) can be a promising vehicular communication technology, and so can be implemented for transportation systems management in the future. However, VANETs have several limitations such as mobility pattern, freedom of movement, and limited bandwidth. The implementation of VANETs will have different handling levels in an urban area compared to others. Each urban area has a distinct uniqueness so that an appropriate mobility model is needed to accommodate various attributes and parameters in different urban areas. Based on those limitations, this research proposes the Vehicle-to-Vehicle (V2V) mobility modeling and simulation using Periodic Broadcast (PBC) messages for mitigating traffic congestion on the transportation system. The goal of this research is to provide a better mobility model and simulation that can provide a realistic model to fulfill various attributes and parameters in the different urban area. Another goal is to analyze the using of PBC messages for V2V implementation in a transportation system to mitigate the traffic congestion. The simulation results show that the V2V mobility modeling using PBC messages can parse the congestion at high traffic density points. This model presents a better travel time estimation and average vehicle speed compared to the conventional model. According to network performance test, the packet delivery ratio (PDR) of V2V-PBC is better than that of non-PBC.