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RTMS speed data. The two SmartSensors’ speed data are similar and realistic, but the RTMS
data was significantly different, which was high for close lanes and low for lanes further away
(Table 5).
Table 5. Sensor Speed Data (mph)
Date Lane SS 105 SS HD RTMS SS HD S.M. SS 105 S.M.
9/5/2008
NB 1 62 58 72 - -
NB 2 63 60 54 - -
NB 3 65 64 57 - -
SB 1 65 60 40 - -
SB 2 63 61 43 - -
SB 3 65 65 45 - -
9/18/2008
NB 1 62 59 73 - -
NB 2 57 61 58 - -
NB 3 61 65 57 - -
SB 1 62 59 42 - -
SB 2 60 60 44 - -
SB 3 64 66 46 - -
10/1/2008
NB 1 62 58 71 - -
NB 2 58 60 56 - -
NB 3 60 64 57 - -
SB 1 64 60 41 - -
SB 2 60 61 45 - -
SB 3 63 65 46 - -
10/16/2008
NB 1 62 - 72 61 -
NB 2 60 - 55 61 -
NB 3 64 - 53 65 -
SB 1 62 - 40 60 -
SB 2 60 - 42 60 -
SB 3 64 - 45 64 -
10/14/2008
NB 1 63 - - - 65
NB 2 62 - - - 61
NB 3 63 - - - 60
SB 1 63 - - - 62
SB 2 61 - - - 61
SB 3 65 - - - 61
Note: S.M. refers to the sign-mounted configuration
Vehicle Classification
Since each sensor had different classification capabilities, and the SmartSensor 105 only had
the capability to classify 3 classes of vehicles, it was decided to group the classification into 3
major length bins: small (0-20 ft), medium (0-55 ft), and large (>55 ft). The classification aspect
of the data collection is the major limitation of each radar-based sensor. The SmartSensor 105,
was by far the least accurate of the three sensors. The SmartSensor 105 under-counted the
small vehicles and over-counted the medium and large vehicles (Table 6). The SmartSensor
HD slightly under-counted the small vehicles and slightly over-counted the large vehicles, while
over-counting the medium vehicles. The RTMS undercounted the small vehicles and over-
counted both the medium and large vehicles. The SmartSensor HD was consistently more
accurate than the other two, especially in classifying small vehicles.
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