## 5 Methods and Materials
Just like the strategy _balanced_ and _direct_, the strategy _inverse_ also deploys roadside units in circles from the epicenter of traffic. However, the layout provided by the strategy _inverse_ is much less concentrated around the epicenter of traffic. Such issue illustrates that the strategy _inverse_ is more focused on providing coverage for new vehicles, than extending the coverage of highly connected ones. In order to highlight differences among the proposed strategies (_balanced_, _direct_, _inverse_), we plot them all together. Figure 12a-c plot the Delta Network for the strategies _balanced_ (blue), _direct_ (red), and _inverse_ (green). We consider the same coverage scenarios ranging from 5% up to 15% of the road network. We notice that strategy _inverse_ (green) provides more connectivity than _balanced_ (blue) in the first half of the \(x\)-axis. This indicates that _inverse_ provides more low connected vehicles contacting roadside units. On the other hand, _direct_ (red) provides more connectivity along the second half of the \(x\)-axis, indicating that _direct_ increases the coverage of highly connected vehicles, while strategy _balanced_ represents a trade-off between both strategies. By observing the legend of these figures, we also notice that _balanced_ provides the largest area under the Delta curve. Figure 11: **(a–d)** Show the layout of roadside units deployed by _inverse_ for covering 5%, 10%, 15%, and 20% (respectively) of the road network. When compared to _balanced_ and_direct_, we notice that _inverse_ presents the lowest density of roadside units around the epicenter of traffic. Figure 10: Strategy _dl_ deploys roadside units at the most popular locations (red color), while _inverse_ assumes a distribution of weights inversely proportional to \(\rho_{1}\) (color blue). The \(y\)-axis indicates the share of vehicles (\(\rho_{2}\)), while the \(x\)-axis indicates percentage of trip under coverage (\(\rho_{1}\)). **(a–c)** Consider coverage ranging from 5% up to 15% of the road network. **(d–f)** Represent _“inverse_ minus _dl_”. Figure 12d-f present the Differential Delta Network of (i) _direct_ compared to _balanced_, and (ii) _inverse_ compared to _balanced_. The red curve indicates the value _\"balanced_ minus _direct_\", while the green curve plots _\"balanced_ minus _inverse_\". All three figures show the same behavior:  
1. red curve (_direct_) **positive** in the **first half** of the \(x\)-axis indicates that _balanced_ provides **more** connectivity than _direct_ for **low** connected vehicles;
2. red curve (_direct_) **negative** in the **second half** of the \(x\)-axis indicates that _balanced_ provides **less** connectivity than _direct_ for **highly** connected vehicles;
3. green curve (_inverse_) **negative** in the **first half** of the \(x\)-axis indicates that _balanced_ provides **less** connectivity than _inverse_ for **low** connected vehicles;
4. green curve **positive** in the **first half** of the \(x\)-axis indicates that _balanced_ provides **more** connectivity than _inverse_ for **highly** connected vehicles. Finally, Table 1 summarizes the most important characteristics of each strategy.