I am modeling the impact of snow events on traffic flow to extract the relationship between snow events and traffic flow. Known the pattern of the relationship between these 2 variables will be used in the prediction model.
Giving an assumption of snow value, I want to predict the traffic flow value.
I have historical spatiotemporal weather & traffic data, and I was thinking to use trajectories modeling approach to analyze the relationship between these 2 variables in my data.
Then using the trajectory model outcome to train the prediction model in order to predict the traffic flow value.
Not sure if my methodology would achieve my goal or if there's any research work similar to this approach.
I would greatly appreciate it if you share your thoughts.
Hello, are you using the Autoregressive Moving Average (ARMA)? You may want to consider using STIFF (Spatio Temporal Integrated Forecasting Framework) by using a divide-and-conquer methodology to discover the hidden spatial correlation to obtain the overall integrated forecasting? Furthermore, ISDA, L1QP Algorithms be used into SVMR in a better way than the OLS method.
Good luck.
Taghreed Alghamdi
Apropos the Traffic flow (volume) would have a major concern and dependency with the geometrical parameters of the road stretch, that you would be concerned with. Finding their interrelation might give you a better vision of the topic furthermore..
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