Mobility and connectivity in highway vehicular networks: A case study in Madrid

Abstract

The performance of protocols and architectures for upcoming vehicular networks are commonly investigated by means of computer simulations, due to the excessive cost and complexity of large-scale experiments. Dependable and reproducible simulations are thus paramount to a proper evaluation of vehicular networking solutions. Yet, we lack today a reference dataset of vehicular mobility scenarios that are realistic, publicly available, heterogeneous, and that can be used for networking simulations straightaway. In this paper, we contribute to the endeavor of developing such a reference dataset, and present original synthetic traces that are generated from high-resolution real-world traffic counts. They describe road traffic in quasi-stationary state on three highways near Madrid, Spain, for different time-spans of several working days. To assess the potential impact of the traces on networking studies, we carry out a comprehensive analysis of the vehicular network topology they yield. Our results highlight the significant variability of the vehicular connectivity over time and space, and its invariant correlation with the vehicular density. We also underpin the dramatic influence of the communication range on the network fragmentation, availability, and stability, in all of the scenarios we consider.

Analysing the Speed-flow Relationship in Urban Road Traffic

“…Having analysed the location of the maximum F/C value from the sectional data it was found that it is mostly coming from the midway section. However, during the on-set stage the maximum value is on the inner (downstream) section and congestion spreads outwards, while during the recovery the outer (upstream) section is the most congested [14], [15]. These data show that the congestion on-set starts downstream and it travels backwards, while the recovery starts upstream and it moves forward.…”

The Meta Distribution of the SIR in Linear Motorway VANETs

“…• Using the discretization model, we devise accurate approximations for the conditional PGFL and the meta distribution of the SIR due to the hardcore point process. Furthermore, we illustrate that the hardcore process (and subsequently the discretization model) approximate well the meta distribution generated from synthetic motorway traces [4], [5], while the conventional PPP fails. • We show that introducing hardcore distance, while keeping the intensity of vehicles fixed, reduces the Coefficientof-Variation (CoV) of the meta distribution.…”

Outage in Motorway Multi-Lane VANETs With Hardcore Headway Distance Using Synthetic Traces

“…The studies in [5], [6] [5]. In the validation of our models, we will drop 600 snapshots from the initial ten minutes of the simulation, in order to allow the first vehicles entering the roadway reach at the exit.…”

“…We will use a shifted-gamma approximation for the distribution of interference from L 2 . The moments of interference and subsequently the gamma parameters for L 2 , k, β, , do not depend on the link distance d as in (5) and (6). The outage…”