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Effective enforcement of no-parking regulations is essential in urban areas. A probabilistic finite-state machine model that relates enforcement to expected levels of compliance is developed, and its simulation results are shown to agree with experimental data. The effects of deterministic and random enforcement policies are described, and a class of implementable policies that yield satisfactory results is analyzed. Finally, these results are used to determine schedules and routes for enforcement officers that increase their effectiveness.