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Improving transportation safety on different terrains is a valuable topic to investigate. Countryside terrain is rugged, and cars need good equipment and technological design to drive safely. Hill Climb Racing is a physics-based driving video game and has demonstrated its potential of applying statistical data-driven and engineering problem-solving. The authors selected Jeep as vehicle and countryside landscape of Hill Climb Racing game, and used definitive screen design (DSD) to study what equipment had most influence on Jeep travelling distance on countryside terrain. To ensure the DSD structure, three examination criteria, including power analysis, confounding color-map analysis and uniformity analysis were conducted. The authors also conducted DSD optimization to build predictive modeling of Jeep performance on countryside terrain. The first model revealed that suspension and four-wheel drive (4WD) are the top two important factors, and the r-squared adjusted statistic was around 0.68. After model improvement and validation run, the r-squared and r-squared adjusted for the final model are 0.95 and 0.92. Suspension and 4WD remain the two most significant terms, while Suspension*4WD and Suspension*Suspension are also of significance. This project resulted in successful predictive modeling to determine the most important factors on Jeep driving on countryside terrain, where validity of the modeling and assumptions be further investigated. This methodology may be able applicable to transportation safety and car design research.
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