Parallel platform is widely used in machinery, robots, precision positioning and other fields. In this paper, a vehicle mounted vibration isolation platform is designed to reduce vibrations under different road conditions. To provide the basis for optimal anti-vibration design, the kinematics and dynamics of the platform are build and analyzed to investigate the relationship between leg length, strength, the platform position and vibration properties. Based on the above models, the influences of nonlinearity and uncertainty on the system can are studied. For verifying the accuracy of dynamic model, the multi-body dynamic model is also established and compared in simulation process. Because the platform is fixed on vehicle, a complex nonlinear dynamic model which combines the vehicle and platform is necessary to be obtained for verifying the stability and applying some suitable control algorithms. This combined model can describe a clear process that the vibrations are transformed from the tires to platform. Also, Some typical digital testing roads will be biuld using road load spectrum. To optimize the platform parameters, especially stiffness and damping, the full active platform control system is designed first by using optimal control algorithm, fuzzy algorithm and deep learning method, etc. the performances of these controllers are compared. Considering the properties of passive shock absorbers, the forces produced by spring and dumper are designed to match the control forces which are calculated from the above active system under some typical road conditions. Finally optimal passive anti-vibration platform which also considers the vehicle performances is done. Some suitable setting of stiffness and damping are obtained corresponding to some given typical road conditions. These results will be utilized for an intelligent active anti-vibration platform in future.