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The mobility model adopted in this work is categorized as an urban pedestrian mobility model.
In the mobility model adopted in our work, both the velocity of vehicles and the distance between two adjacent vehicles are known in priori.
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For node motion, the random way point mobility model is adopted, which is configured with a maximum speed (Smax), a minimum speed (Smin), and a pause time (PT).
Secondly, a gravity-type mobility model was adopted to identify commuting workers.
First, the group mobility model we adopt in our study is RPGM [1].
Second, there is the radical model adopted by the Soviet Union and Eastern Europe.
First, there is the conservative model adopted by North Korea and Cuba.
The random direction mobility model is commonly adopted in the mobile sensor and ad hoc networks for simulation.
GDyn model adopts a disequilibrium approach to modelling capital mobility, allowing short- and medium-run differences in the rates of return across regions, implying imperfect capital mobility over the medium term.
The Shockley-Read-Hall recombination and Lombardi mobility models are also adopted in the simulations.
We adopted a fluid‐flow mobility model, which is described in [18] and is a widely used mobility model for modelling traffic in telecommunications networks, to compute the signaling load.
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