Section: New Results

Study on V2V Communications and Emergent Behavior of Heuristically-Driven Intelligent Vehicles

Participant : Oyunchimeg Shagdar.

The automated cooperative driving applications require efforts on multiple research domains including robotics, artificial intelligence, and communications to build a safe and intelligent collective driving behavior. While some studies show the potentials of the V2V communications for safer and smoother automated driving, it is still not clear if the standardized technologies can meet the strict requirements of the automated driving applications. More importantly, if the decisions for individual vehicles’ control are based on the V2V communications, the communications performance must largely affect the ”quality” of the collective behavior. Motivated by this, we study the inter-dependencies between communications and collective automated driving behavior. In our study [43] we combine different V2V communication modes with different dynamic path-finding heuristics, over a population of several hundreds of intelligent vehicles, to observe convergence towards stable traffic. The various traffic stability levels are compared in order to exhibit most efficient combinations of communication modes and path-finding heuristics.