This paper introduces a new paradigm for
avoiding vehicle collisions in Intelligent Transportation
Systems. The key feature of the concept is that we
introduce interactive control of different vehicular
sub-systems ultimately leading to interdependent
maneuvering of vehicles in order to avoid collision
encounters. A general scenario of motion of vehicular
systems passing a common point at the same time is studied
here. Using a fuzzy logic-based controller, collision avoidance maneuvers
of the individual vehicular sub-systems are realized. An inter-vehicle communication
(IVC) system that facilitates interactions between the
vehicles is studied as a top tier above the individual
vehicular controllers. The concept that is adopted here is
that in order to control a general system with participatory
sub-systems of vehicles, all the influencing members have
to interactively work together in order to effectively
negotiate to achieve an optimal result in avoiding collision
encounters. While the interactive operations are being
carried out, each vehicular sub-system may act as a
‘Master’ one time and a ‘Slave’ at another time. This
switching between the states of‘Master’ and ‘Slave’ should
be done efficiently to better prevent a collision encounter.
Even though above paradigm is proved only for two
interactive sub-systems, it is emphasized that the concept
can be extended to any number of vehicular sub-systems to
realize effective collision avoidance maneuvers.Senate Research Gran
