Leveraging Autonomous Vehicles to Tally Cooperative Driving Behavior

The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven vehicles is expected to increase significantly in the coming years. This coexistence will last decades before full AV adoption achieved worldwide. However, cautious nature AVs and aggressive behavior some human drivers could create unprecedentedly challenging scenarios for AVs, such as being stuck on merge lanes blocked by vehicles. On other hand, cooperative assist avoiding deadlock situations. In this paper, we propose leverage tally driving To end, model a “highway merge” scenario, which tends be AVs. We vary percentage estimate required acts. Results show that when fifty percent cooperate, cooperation leads statistically significant reductions up 68%, 46%, 38%, 5% stop delay, stops, vehicle travel time, respectively. Finally, demonstrate 30% penetration sufficient 78% highway scenarios. promote across population, our future work revolves around construction vehicular profiles based their behavior. These regularly updated disseminated among aid decisions toward upcoming interactions.