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FHWA Home / Policy & Governmental Affairs / Highway Policy Information / Post-event Connected Vehicle Data Exploration - Lessons Learned

Post-event Connected Vehicle Data Exploration - Lessons Learned

Table of Contents

6. CV Data Quality

CV data are machine-generated by vehicles or roadway and roadside-based traffic control devices. Common assumption is that machine-generated data tend to have fewer data quality issues than manually manipulated data. The analysis of the post-CV data work indicated that CV data should not be assumed error free for post-CV usages. For example, as shown in Figure 18, almost all vehicle path history data elements in the JPO Pilot post-CV BSM file are not coded correctly. In addition, duplicative records for the same events exist. Figure 19 illustrates this type of geospatial coding error. Table 3 shows an example that locations in vehicle movement of the OEM CV data are not correct as two consecutive points are spatially separated too far away, resulting in an unrealistic calculated travel speed.

Figure 18: Wrong Path history of BSM data

This map of Tampa, Florida, illustrates wrong path history of basic safety message data. A line representing vehicle trajectory extends into the water.

Source: FHWA Office of Highway Policy Information.

Figure 19: OEM CV data records duplicated in one area.

This map of Florida represents OEM connected vehicle data records duplicated in one area. The map shows several color-coded dots indicating average speed on a scale of 0 to 160 at 10 in the morning. One dot is much larger than the others and labeled “Area with Duplicated Records.”

Source: FHWA Office of Highway Policy Information.

Table 3: Wrong locations in vehicle movements

Journey
_id
Start_
Time
End_
Time
Start
_Lat
Start
_Long
End
_Lat
End
_Long
Speed
_Avg
Speed
_Max
Distance Dura-tion Calculated
_Speed
45a69c 2021-07-01T11:
13:31.000
2021-07-01T11
:46:18.000
28.53476 −82.40806 26.53838 −80.07574 41.40 111.74 393258741 1967 719741
8cc24d 2021-07-01T10:
51:50.000
2021-07-01T11:
08:12.000
28.53249 −82.40768 28.53475 −82.40805 6.92 88.7 193574091 982 709640
4a9832 2021-07-01T10:
34:06.000
2021-07-01T10:
43:53.000
28.49272 −82.42498 26.74275 −80.06567 17.73 85.24 113989705 587 699085
8bb95c 2021-07-01T12:
00:22.000
2021-07-01T12:
00:52.000
55.03106 −162.50066 28.49251 −82.4249 6.678 16.12 5405219 30 648626

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Page last modified on May 9, 2024
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