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The demand for mass public transportation is growing on the major urban areas worldwide along with stricter demands on exhaust gas emission levels driven by society’s concern on the environment, leading to the development of sustainable transport solutions. Some of the solutions to reduce emission levels, such as electrified powertrains, may not be affordable for emergent markets due to the necessity of investments on infrastructure as well as high costs of some technologies. Bogotá city in Colombia is renewing its bus rapid transit (BRT) fleet and aims to reduce emission levels in its operation. Therefore, the development of a biarticulated bus driven by a compressed natural gas (CNG) Otto engine can be a sustainable solution for such application reducing both emission levels and fuel costs (compared to a Diesel model).

This paper explores the method of modeling and validation the computational tools able to accurately replicate the dynamic behavior of a Formula SAE vehicle. Based on limitations in conducting physical tests, it is possible to mathematically predict the forces and momentum generated on the steering column of the vehicle, minimizing effort and improving driver comfort even before the component physically manufactured. The results in permanent state due technical instrumentations were used in the physical vehicles and compared with other proposals (skid Pad test). As the software simulating the same path, it was possible to adopt values of speed and wheel steering, allowing compare the dynamics of the vehicle, through the signals from other sensors installed in the data acquisition system, validating the behavior of the models presented in permanent state. Other aspects were studied to understand vehicle behavior concerning lateral stability and steering behavior.