Models of the dynamics of multibody systems generally result in a set of di
fferential-algebraic equations (DAE). State-space methods for solving the D
AE of motion ave based on reduction of the DAE to ordinary differential equ
ations (ODE), by means of local parameterizations of the constraint manifol
d that must be often modified during a simulation. In this paper it is show
n that, for vehicle multibody systems, generalized coordinates that are dua
l to suspension and/or control forces in the model are independent for the
entire range of motion of the system. Therefore, these additional coordinat
es, together with Cartesian coordinates describing the position and orienta
tion of the chassis, form a set of globally independent coordinates. In add
ition to the immediate advantage of avoiding the computationally expensive
redefinition of local parameterization in a state-space formulation, the ex
istence of globally independent coordinates leads to efficient algorithms f
or recovery of dependent generalized coordinates. A topology based approach
to identify efficient computational sequences is presented. Numerical exam
ples with realistic vehicle handling models demonstrate the improved perfor
mance of the proposed approach, relative to the conventional Cartesian coor
dinate formulation, yielding real-lime for vehicle simulation.