This brief presents a stochastic microscopic mobility model that
describes the temporal changes of intervehicle distances. The model is
consistent with simulated and empirical vehicle traffic patterns. Using
stochastic lumpability methods, the proposed mobility model is mapped
into an aggregated mobility model that describes the mobility of a group
of vehicles. In addition, the proposed mobility model is used to analyze
the spatiotemporal VANET topology.
Two metrics are proposed to characterize the impact of vehicle mobility
on VANET topology: the time period between successive changes in
communication link state (connection and disconnection) and the time
period between successive changes in node's one-hop neighborhood. Using
the proposed lumped group mobility model, the two VANET topology metrics
are probabilistically characterized for different vehicular traffic flow
conditions. Furthermore, the limiting behavior of a system of two-hop
vehicles and the overlap-state of their coverage ranges is modeled, and
the steady-state number of common vehicle neighbors between the two
vehicles is approximately derived. The proposed mobility model will
facilitate mathematical analysis in VANETs. The spatiotemporal VANET
topology analysis provides a useful tool for the development of
mobility-aware vehicular network protocols.
Mobility Modeling for Vehicular Communication Networks is designed for
researchers, developers, and professionals involved with vehicular
communications. It is also suitable for advanced-level students
interested in communications, transport infrastructure, and infotainment
applications.