A Genetic Predictive Model Approach for Smart Traffic Prediction and Congestion Avoidance for Urban Transportation

Algorithm 2

Prediction and avoidance.

(1) Detect trajectory

 Step1: Start,

 Step2:

 Step3: For I in DataFrameindex do

 Step 4: if then

 Step5: while do

 Step6: if then

 Step 7:while do

  The major task of (1) is to identify the vehicle from group of other vehicles using working units, namely, trajectories.

(2) Traffic prediction and control

  Initialize , for all ,

  Step 1: For each traffic prediction (time t) do

  Step 2: Calculate such that

  Step 3: Generate results for predictors for all

  Step 4: Final Prediction selection

  Step 5: Correct Traffic pattern is estimated

  Step 6: Update the mean sample for all

  Step 7:

  Step 8: if then

  Step 9: is further categorized

  Step 10: end if

  Step 11: end for