This is a linear regression algorithm that predict traffic flow using a .csv file (containing Time Period Ending, Time Interval, Avg mph and Total Volume) to train. The algorithm can also predict ...

Urban traffic flow has the property of complexity, uncertainty, and time-varying, which bring large difficulty to real-time and accurately forecast the traffic flow for traffic control and route ...

Similarly, a linear regression model was solved by RR to suppress the effect of data collinearity in (Chen, Y. et al., 2022). In distribution networks, the single-phase PF model is often considered. .