A Personalized Navigation Route Recommendation Strategy Based on Differential Perceptron Tracking User’s Driving Preference

Table 7

The habit tracking processing algorithm.

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Algorithm 2: Habit tracking processing

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Input: The latest OBD data, current habit weight vector

Output: new habit weight vector

1:  Begin

2:   Calculate with the latest OBD data,

3:  If RQ of unchanged

4:     Improved differential perceptron (the last OBD data, )

5:   Else

6:    Obtain by reclustering the OBD data of the other three RQ

(7)   End if

(8)  End

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