Reputation: 49
I am dealing with a huge volume of traffic data. I want to identify the vehicles which have changed their lanes, I'm Microsoft Access with VB.Net.
Traffic Data:
Vehicle_ID Lane_ID Frame_ID Distance
1 2 12 100
1 2 13 103
1 2 14 105
2 1 16 130
2 1 17 135
2 2 18 136
3 1 19 140
3 2 20 141
I have tried to distinct the Vehicle_ID and then count(distinct Lane_ID). I could list the distinct Vehicle_ID but the it counts the total Lane_ID instead of Distinct Lane_ID.
SELECT
Distinct Vehicle_ID, count(Lane_ID)
FROM Table1
GROUP BY Vehicle_ID
Shown Result:
Vehicle_ID Lane Count
1 3
2 3
3 2
Correct Result:
Vehicle_ID Lane Count
1 1
2 2
3 2
Further to that i would like to get all Vehicle_ID who have changed their lane (all data including previous lane and new lane). Output result would be somehow like: Vehicle_ID Lane_ID Frame_ID Distance
2 1 17 135
2 2 18 136
3 1 19 140
3 2 20 141
Upvotes: 0
Views: 171
Reputation: 164099
Access does not support COUNT(DISTINCT columnname)
so do this:
SELECT t.Vehicle_ID, COUNT(t.Lane_ID) AS [Lane Count]
FROM (
SELECT DISTINCT Vehicle_ID, Lane_ID FROM Table1
) AS t
GROUP BY t.Vehicle_ID
So
to identify the vehicles which have changed their lanes
you need to add to the above query:
HAVING COUNT(t.Lane_ID) > 1
Upvotes: 3
Reputation: 1269773
If you want vehicles that have changed their lanes, then you can do:
SELECT Vehicle_ID,
IIF(MIN(Lane_ID) = MAX(Lane_ID), 0, 1) as change_lane_flag
FROM Table1
GROUP BY Vehicle_ID;
I think this is as good as counting the number of distinct lanes, because you are not counting actual "lane changes". So this would return "2" even though the vehicle changes lanes multiple times:
2 1 16 130
2 1 17 135
2 2 18 136
2 1 16 140
2 1 17 145
2 2 18 146
Upvotes: 0
Reputation: 107
SELECT
Table1.Vehicle_ID,
LANE_COUNT
FROM Table1
JOIN (
SELECT Vehicle_ID, COUNT(*) as LANE_COUNT FROM (
SELECT distinct Vehicle_ID, Lane_ID FROM Table1
) dTable1 # distinct vehicle and land id
GROUP BY Vehicle_ID # counting the distinct
) cTable1 ON cTable1.Vehicle_ID = Table1.Vehicle_ID # join the table with the counting
I think you should do one by one,
Upvotes: 0