Vehicular ad hoc networks (VANETs) are the core of intelligent
transportation systems (ITS) to obtain safety, better transportation services,
and improved traffic management. Providing more reliable and efficient on
demand routing protocol is one of the main challenges in these networks
research scope. This paper argues a compressed fuzzy logic based method to
enhance Ad hoc on demand distance vector (AODV) routing decision by
jointly considering number of relays, distance factor, direction angle, and
vehicles speed variance. The proposed scheme is simulated in both freeway
and urban scenarios with different number of vehicles using real time
interaction between both OMNet++ and SUMO simulators. Simulation
results show that the proposed approach can get better performance in terms
of packet delivery ratio, throughput, mean delay, and number of sent control
packets. 

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