You can use the SQL PIVOT function to pivot the "status" column and convert each status value into a separate column with its corresponding "time" value. You can also use the SQL aggregate function SUM to calculate the total time for each driver and date.

Here is an example query that should work for your table structure:

SELECT 
    [DRIVER ID],
    [date],
    [1] AS [status-in1],
    [out1] AS [status-out1],
    [2] AS [status-in2],
    [out2] AS [status-out2],
    [3] AS [status-in3],
    [out3] AS [status-out3],
    [total]
FROM (
    SELECT 
        [DRIVER ID],
        [date],
        'in' + CAST([status] AS VARCHAR) AS [in_out],
        [time]
    FROM 
        Parking
    WHERE 
        [status] IN (1, 2, 3)
    UNION ALL
    SELECT 
        [DRIVER ID],
        [date],
        'out' + CAST([status] AS VARCHAR) AS [in_out],
        [time]
    FROM 
        Parking
    WHERE 
        [status] IN (11, 22, 33)
) AS SourceTable
PIVOT (
    MAX([time])
    FOR [in_out] IN ([in1], [out1], [in2], [out2], [in3], [out3])
) AS PivotTable
CROSS APPLY (
    SELECT 
        ISNULL(SUM(DATEDIFF(MINUTE, [in1], [out1])), 0) + 
        ISNULL(SUM(DATEDIFF(MINUTE, [in2], [out2])), 0) + 
        ISNULL(SUM(DATEDIFF(MINUTE, [in3], [out3])), 0) AS [total]
) AS TotalTime
WHERE 
    [DRIVER ID] = '516'
ORDER BY 
    [date]

This query will pivot the "status" column and create separate columns for each status value with its corresponding "time" value. It will also calculate the total time for each driver and date using the SUM and DATEDIFF functions to calculate the difference between the in and out time in minutes.

Note: You can change the driver ID in the WHERE clause to get the results for a different driver. Also, you can modify the column names and formatting to match your desired output. Finally, you can export the results to a CSV file using your database management tool or a programming language.