Hi,

How can I simulate a traffic dataset(gather information of each car for one month or more) for location prediction of the vehicles? In other words, can I have a dataset that I use its features as inputs to my time series neural network model?

Is there any way to doing that?

The main reason that I cannot use a real dataset is that I want each car to send a packet to the nearest RSU that consists of vehicle speed, vehicles direction, and Car_ID and time-stamp.

I want to even differentiate rush hours and non-rush hours, driver preferences, weather type, etc.

Based on the above factors, the driver changes its route. So I don't want to have a static route for each id_Car. Instead, I want to have different routes for each car, based on traffic speed in each lane.

Any help would be appreciated.

Thanks