Evaluation of an opportunistic collaborative traffic monitoring system

Automated traffic monitoring is getting more and more important as the number of vehicles in circulation grows. Nevertheless, traffic control is still predominantly done manually using video cameras. In this work, we extensively analyze our previous collaborative and opportunistic traffic monitoring system to evaluate the proposal on scenarios with more than one vehicle. Based on the information received by IEEE 802.11 beacon frames, vehicles provide its location by a central entity to handle and disseminate information about traffic conditions on urban roads, exploiting readily available network resources. Experiments performed in the ns-3 conducted via simulations demonstrate the possibility to infer traffic conditions using a simple architecture and generating a small quantity of traffic on network.