effect of proactive braking on traffic flow and road throughput
With the emergence of pervasive computing technologiesinto vehicles, driving has moved from an active task of steering towards an interaction or adaptation task withrespect to the driver-vehicle feedback loop. Up to now vehicular interfaces have mostly been evaluated from a single-driver single-car viewpoint, however, driving is a more complex task involving  beside the local interaction  the interrelationship between all the cars in a certain community of interest.The question investigated in this research work is how avehicles local parameters in a bulk of cars (e. g. vehicle speed, braking parameters) affect the global behavior of this system (traffic congestion, driving speed variation, throughput). To explore this, two traffic models have been developed and simulated using the NetLogo simulation environment.Simulation results have shown that the intercar distance hasa direct impact on both the throughput and the mean triptime. The proactive driving approach using vibro-tactile driver notification followed in the second, advanced model achieved much better results regarding these parameters compared to the simple manual-driven case. Finally, the outcomes legitimate the implementation of a prototype, and the installation of such a technology into a large number of cars in order to provide evidence for the improved traffic flow and decreased probability of traffic accidents in real driving scenarios.
throughput traffic congestion intercar distance stop-and-go traffic trip time vibro-tactile notification acc complex adaptive systems