Monthly Traffic Safety Analysis

16 CRASHES IN
SUDBURY, MA
DECEMBER 2022

All metrics benchmarked againstDecember 2021

In December 2022, SUDBURY experienced 16 crashes, a decrease of 5.9% compared to the 17 crashes reported in December 2021. A notable shift was the decrease in crashes attributed to "No improper driving," which fell from 9 in the prior period to 4 in the current period.

16

-5.9%was 17

Total Crash Events

0

Persons Killed

2

100.0%was 1

Persons Injured

0

Fatal Crash Events

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the total number of crashes in SUDBURY decreased by 5.9%, from 17 in December 2021 to 16 in December 2022. However, the number of total injuries rose by 100%, from 1 injury in the prior period to 2 injuries in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 1100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Wednesday with 5 crashes in December 2021 to Friday with 5 crashes in December 2022. The peak hour also changed, moving from 10 p.m. with 3 crashes in the prior period to 8 p.m. with 2 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both periods reported zero fatalities and zero fatal crashes. Crashes resulting in possible injury increased from 1 (5.9% of total crashes) in December 2021 to 2 (12.5% of total crashes) in December 2022. Consequently, the proportion of no-injury crashes decreased from 94.1% to 87.5% year-over-year.

Outcome by Severity (Crash Events)

Possible Injury2possible injury crashes12.5%
100.0%prior 1
No Injury14no injury crashes87.5%
-12.5%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to "No improper driving" decreased significantly from 9 in December 2021 to 4 in December 2022, though it remained the most frequent factor. "Inattention" crashes increased from 2 to 3, while "Followed too closely" crashes decreased from 2 to 1. New factors appearing in the current period include "Failed to yield right of way" with 2 crashes and "Distracted" with 2 crashes.

Officer-Reported Primary Contributing Cause

No improper driving4 (25%)-55.6%prior 9
Inattention3 (18.8%)
Failed to yield right of way2 (12.5%)
Distracted2 (12.5%)
Other improper action1 (6.3%)
Over-correcting/over-steering1 (6.3%)
Failure to keep in proper lane or running off road1 (6.3%)
Fatigued/asleep1 (6.3%)
Followed too closely1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions decreased from 12 in December 2021 to 11 in December 2022. "Dry" road surface crashes also saw a slight decrease, from 13 to 12. There was a shift in lighting conditions, with "Daylight" crashes decreasing from 8 to 6, while "Dark - lighted roadway" crashes decreased from 7 to 6.

Weather

Clear11 (68.8%)
-8.3%prior 12
Snow2 (12.5%)
Clear/Cloudy1 (6.3%)
Cloudy/Rain1 (6.3%)
Rain/Cloudy1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Dark - lighted roadway6 (37.5%)
-14.3%prior 7
Daylight6 (37.5%)
-25.0%prior 8
Dark - roadway not lighted2 (12.5%)
Dark - unknown roadway lighting1 (6.3%)
Dusk1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry12 (75.0%)
-7.7%prior 13
Wet2 (12.5%)
Ice1 (6.3%)
Snow1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (28 vehicles)

1
TOYOTA7 (25%)
2
HONDA6 (21.4%)
3
LEXUS3 (10.7%)
4
LR2 (7.1%)
5
NISSAN2 (7.1%)
6
BUIC1 (3.6%)
7
ACURA1 (3.6%)
8
PTRB1 (3.6%)
9
SUBARU1 (3.6%)
10
JAGU1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records

Sex Distribution (29 persons with recorded sex)

Male19 (65.5%)
35.7%prior 14
Female10 (34.5%)
-41.2%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed limit zones remained largely consistent year-over-year, with no fatalities reported in any zone for either period. Crashes in the 25 mph zone decreased from 3 in December 2021 to 2 in December 2022. The 30 mph, 35 mph, and 40 mph zones maintained the same crash counts of 7, 6, and 1 respectively in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2022-12-01 through 2022-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-12-01 through 2022-12-31 (31 days)
  • Geographic scope: SUDBURY, MA
  • Total crash records analyzed: 16
  • Total persons involved: 30
  • Total vehicles involved: 28

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "SUDBURY, MA Crash Intelligence Report: December 2022." Published June 21, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sudbury/december-2022-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Sudbury, MA Crash Report — December 2022 | ThatCarHitMe.com