This paper explores the relationship between tourism and traffic congestion and hyper-congestion using the case study of Mallorca (Spain), one of the most important resort destinations in the Mediterranean. After discussing different proxies to capture the associated problems to road traffic congestion, different time series models are estimated including considering the days of the week, holidays and meteorological determinants jointly with a daily indicator of tourist population pressure. Results show how the tourist pressure variable is an important determinant in explaining the different alternative indicators of traffic congestion and hyper-congestion, for different roads. Hence it is possible to classify the roads in terms of usage by tourists in order to anticipate the levels of traffic intensity, especially during peak periods. ► Tourism is a significant predictor of traffic congestion and hypercongestion. ► It is possible to estimate a daily tourist pressure indicator that can be related to different road congestion measures. ► Using time series models and a tourism pressure indicator, different roads can be classified in terms of their tourist use.