The goal of this study is to increase the awareness about the communication opportunities that arise in urban vehicle networks when exploiting the self-similarity and hierarchical organization of modern cities. The work uses our innovative model called " hyperfractal " that captures the self-similarity of the urban vehicular networks as well as incorporating roadside infrastructure with its own self-similarity. We use analytical tools to provide achievable trade-offs in operating the roadside units under the constraint of minimum routing path delay while maintaining a reasonably balanced load. The models and results are supported by simulations with different city hyperfractal dimensions in two different routing scenarios: nearest neighbor routing with no collision and minimum delay routing model assuming slotted Aloha, signal to interference ratio (SIR) capture condition, power-path loss, Rayleigh fading.