… In this paper, we will focus on the ML models used in traffic prediction tasks. Meanwhile, we
… ML model has been applied to. It is important that we compare different types of models on …

… However, it is hard to select the most appropriate traffic prediction method for one particular
… apart from traffic simulation models only few methods are used for network wide predictions, …

… traffic prediction models have been developed in the past using a wide spectrum of modeling
… To achieve this objective, short-term traffic prediction models should be responsive to the …

… Traffic noise prediction models in the 1950s and 1960s were designed to predict a single
vehicle sound pressure level L p at the roadside. These models were … Later models were not …

… In this paper, we presented a literature review and related work about traffic prediction
models. We explored modeldriven and data-driven approaches, comparing and understanding …

… on our real traffic dataset show that the proposed model performs … prediction model takes
into account the dynamic traffic conditions so that we can make more accurate future predictions…

… A traffic prediction model that incorporates relevant demographic variables for county roads
was developed. Field traffic … Three to four automatic traffic counters were installed in each …

… In this library, we reproduce 42 traffic prediction models and collect 29 spatial-temporal
datasets, which allows researchers to conduct comprehensive experiments in a convenient way. …

… traffic prediction models … for traffic prediction ( Figure 1). Due to the broad ground covered,
the methods are described only qualitatively. Three (overlapping) strands of traffic prediction …

… different prediction models. The accurate prediction of traffic parameters in prediction models
are difficult due to the dynamic and stochastic nature of traffic (Vijayalakshmi et al., Citation…