Creating the modelling framework
Of course, many factors contribute to the perceived comfort of helmets. Parameters like outdoor temperature, exposure duration, level of activity, clothing characteristics and the helmet materials and thermal properties all impact thermal comfort. Taking all of these factors into account, Working Group 4 was able to develop a method for simulating, predicting and assessing thermal comfort in bicycle helmets. Further recommendations have been made to improve local head sweating models, the biophysical testing of a helmet’s thermal properties, and of course, human trials on head perspiration. The results of similar tests are already being used to evaluate thermal comfort in other body regions, as well, and can have implications for clothing and equipment development.
Using the methods set forth from Working Group 4’s output, helmet manufacturers can create accurate models to simulate, test and assess the comfort levels of various helmet designs, and more quickly and accurately achieve better results in achieving more comfort for helmet wearers.