To create a prediction model for road traffic time series data(i.e vehicle count)using artificial neural network in matlab

I'm basically trying to develop a short term prediction model for road traffic time series data using artificial neural networks using matlab. I wish to know whether its possible to achieve the objective using matlab? And if it is possible,can someone please provide some code snippet in matlab(since i am a beginner in this field) which involves such kind of forecasting for any time series data so that i can understand how basically forecasting is done in matlab (using artificial neural networks concept)? I have the vehicle count of 5 days of a week of a particular road and wish to forecast the values of next 2 days of the week using the time series data.Hence i plan on having 5 input nodes, 5-10 neurons in hidden layer and 2 nodes in output layer as a part of my model. Any help in this regard would be highly appreciated.

[Tiago Goncalves]

Predictive analytics enables the ability to map-match and analyze large volumes of traffic data allows, crucial to make traffic predictions at scale. No matter how small or large the road network, the data can produce accurate traffic predictions throughout the day. It’s then possible to calculate congestion and delays based on defined free flow traffic thresholds and speed profiles with several kilometers of live trip data collected globally every day. This provides an extremely detailed predictive traffic baseline for every road, for every day of the week.

TomTom for example, achieves on route traffic prediction through a multitude range of sources around the world to generate real-time traffic information. They leverage a global community of over 600 million GPS and floating car data (FCD) probes to measure flow speeds, detect congestion and other incidents on the road in real-time.

In total, they collect traffic data from the following sources:

• Smartphone partners
• Popular ride-hailing and navigation applications
• Automotive partners
• Fleet management systems
• GPS probes from TomTom connected navigation devices and smartphone apps

In this article it's possible to know more on accurate traffic prediction: What is Traffic Prediction and How Does it Work? | TomTom Blog

Answer 1

[Greg Heath]

You will have to include day of the week (1-7) as an input.

 help narxnet

[shripati]

Suppose i have hourly traffic data(i.e count of no of vehicles passing in one hour) for 7 days of the week (between 8 am to 10 pm) and i wish to predict the traffic count for the 7 days of the next week, what should i give as the input array and the target array for my problem? Should i use NARX or NAR model for my problem? And which option would help me view the forecasted values for the next 7 days in the neural network toolbox? Help would be appreciated.

[Prasad Kalane]

chect out Greg Sir's post: http://www.mathworks.in/matlabcentral/answers/107561-artificial-neural-network-prediction-code-in-matlab-please-help