Stop-&-go (S&G) waves usually occur in congested traffic and are characterised by cyclic patterns of deceleration followed by acceleration. Due to its frequent and annoying nature, drivers tend to avoid travelling on routes with more occurrences of stop-&-go waves. Existing transportation models need to be modified to incorporate the impact of S&G waves on route choice. This raises the question about how to quantify the number of S&Gs waves experienced by vehicles. The question has been extensively studied in two independent fields, namely traffic engineering and control theory. This paper aims to conduct a review of S&G quantification techniques in both fields of study and propose a unifying approach. The study proposes to determine the surrogate measures around the locations of vehicles undergoing S&G using signal processing techniques. The integrated approach would help in understanding the complex and latent nature of S&G waves by expressing its formation in terms of kinematic measures.