  Efficient and dynamic path planning has become an important topic for urban
areas with larger density of connected vehicles (CV) which results in reduction
of travel time and directly contributes to environmental sustainability through
reducing energy consumption. CVs exploit the cellular wireless
vehicle-to-everything (C-V2X) communication technology to disseminate the
vehicle-to-infrastructure (V2I) messages to the Base-station (BS) to improve
situation awareness on urban roads. In this paper, we investigate radio
resource management (RRM) in such a framework to minimize the age of
information (AoI) so as to enhance path planning results. We use the fact that
V2I messages with lower AoI value result in less error in estimating the road
capacity and more accurate path planning. Through simulations, we compare road
travel times and volume over capacity (V/C) against different levels of AoI and
demonstrate the promising performance of the proposed framework.
