Automobile architecture is a crucial phase in the process of design. The model assessment process in the hybrid vehicle modeling assessment becomes more in-depth, and designers exchange ideas. The critical aspect of automotive modeling is that various models have varying views on vehicle styling. The evaluation process is long, complicated, and efficient in automotive simulation. The evaluation process takes time. Therefore, in the paper, an Automobile Modelling Optimization Design Based on Virtual Reality Technology (AMOD-VRT) is proposed to improve automobile modeling and design research to be more interactive. Computational Design Method is used to create and design the entire vehicle as well as its surrounding environment. An Integrated Virtual Analysis can enclose the models mentioned above and create a virtual environment in which the user can interact to design a model virtually by themselves. The paper provides complete virtual design modeling of an automobile, allowing the user to work more efficiently based on the results. By applying virtual reality technology in the automobile design phase, interactive and network-based remote research on automobile modeling can make the automobile design progression more appropriate, easier to communicate with designers and decrease automobile design’s development cost and cycle. The simulation analysis is performed based on safety, performance, and efficiency, proving the reliability of the proposed framework. Various parameters obtain the simulation results on automobile design as the automobile vehicle design performance ratio is 87.16%, increasing the visual effects in AMOD ratio is 88.77%, improving visual effects with optimized design ratio is 84.5%, interaction and collaboration of automobile modeling ratio are 82.26% and reduce vehicles accident using virtual reality ratio is 93.80%. The computer-based virtual reality technology in the automotive industry can effectively accelerate new product development in the future.
Usefulness of 3D virtual reality model for robotic-assisted renal tumorectomy
