The crashworthiness of a vehicle is an important factor that needs to be considered during vehicle component design. The components sustaining the axial loads and the traverse loads are the prominent contributor as far as crashworthiness of the vehicle is concerned. The B-pillar is the crucial vehicle component responsible to absorb the side impact during the side car crash, whereas S-rail is supposed to face axial loads. This paper aims to have an optimized material density distribution (topology optimization) as well as thickness variation (Design optimization) in case of the B-pillar and S-rail that have maximum energy absorption during the side crash event of the car. Initially, B-pillar was extracted from the Toyota Camry car model, whereas standard S-rail geometry is considered for the non-linear finite element analysis. The explicit code of LS-DYNA is used to perform non-linear analysis on B-pillar and S-rail. The analysis is performed according to FMVSS regulations. Further thickness optimization is performed using a meta-model based design optimization tool LS-OPT that maximizes the crashworthiness indicators (Specific Energy Absorption) and optimizes the thickness (i.e. minimum required mass). In LS-opt we choose Kriging method or the spatial correlation modeling meta-model to build a meta-model and biological based multi-objective optimization technique Genetic Algorithm (GA) to find the optimum thickness values. In topology optimization approach, outputs of LS- DYNA is provided to LS-TaSC as an input deck. The topology optimized parts are then compared with thickness optimized parts. The prototypes of these final designs will be manufactured using Additive Manufacturing.