Traffic on an one-lane freeway is simulated using a continuous space-d
iscrete time probabilistic cellular automata model. The effect of diff
erent individual driving patterns is estimated by monitoring the traff
ic flow, the velocity and acceleration distributions, the average numb
er of accidents, and the distribution of density-waves (traffic jams)
as a function of traffic density. The number of accidents, traffic jam
s, and the fuel consumption are drastically reduced by driving strateg
ies adapting to local traffic conditions. At high traffic densities th
is leads, however, to a decrease in the global traffic throughout.