Can we apply any data mining technique on time-series data such as provided by NGSIM project to model the car-following behavior i.e. uninfluenced driving, following a lead vehicle, emergency braking and approaching a slow vehicle?
Which techniques are useful in this context?
Mohan Venigalla
I don't see why not. Another technique you want to consider is generalized additive models (GAMs) using nonparametric smoothing. GAMs can account for seasonality and long-term trend, as well as weather conditions.
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Zhengbing He
Hi Umair, I recently proposed a data-driven car-following model in the following paper: A simple nonparametric car-following model driven by field data. Transportation Research Part B, 80(2015), 185–201. Hopefully, it may help.
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