Monthly Traffic Safety Analysis

32 CRASHES IN
HUDSON, MA
MARCH 2024

All metrics benchmarked againstMarch 2023

In Hudson, MA, total crashes increased by 10.34%, from 29 in March 2023 to 32 in March 2024. Despite the increase in total crashes, the number of total injuries significantly decreased by 63.6%, from 11 to 4 year-over-year. DUI crashes were eliminated, dropping from 2 in the prior period to 0 in the current period.

32

10.3%was 29

Total Crash Events

0

Persons Killed

4

-63.6%was 11

Persons Injured

1

-50.0%was 2

Hit-and-Run Crashes

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall number of crashes in Hudson, MA, showed a slight upward trend, increasing by 10.34% from 29 crashes in March 2023 to 32 crashes in March 2024. However, total injuries decreased substantially by 63.6%, from 11 to 4, indicating a positive trend in injury reduction.

1

Hit-and-Run Crashes — March 2024

-50.0% vs prior (2)

The number of hit-and-run crashes decreased from 2 in March 2023 to 1 in March 2024. This reduction led to the hit-and-run rate decreasing from 6.9% to 3.1% year-over-year, indicating a downward trend in such incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 11-63.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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 (7 crashes) in March 2023 to Friday (6 crashes) in March 2024. Similarly, the peak crash hour changed from 7 PM (3 crashes) in the prior period to 2 PM (5 crashes) in the current period, indicating a shift in the times when crashes are most frequent.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both March 2023 and March 2024. Total injuries decreased from 11 in the prior period to 4 in the current period, a 63.6% reduction. The proportion of crashes resulting in any injury decreased from 37.9% in March 2023 to 12.5% in March 2024.

Outcome by Severity (Crash Events)

Possible Injury3possible injury crashes9.4%
0.0%prior 3
No Injury28no injury crashes87.5%
47.4%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' increased from 7 in March 2023 to 9 in March 2024. 'Failed to yield right of way' crashes also increased from 3 to 5 year-over-year. Conversely, 'Failure to keep in proper lane or running off road' crashes, which accounted for 4 incidents in the prior period, were not recorded in the current period.

Officer-Reported Primary Contributing Cause

Inattention9 (28.1%)28.6%prior 7
No improper driving6 (18.8%)0.0%prior 6
Failed to yield right of way5 (15.6%)
Other improper action3 (9.4%)
Followed too closely3 (9.4%)
Driving too fast for conditions1 (3.1%)
Exceeded authorized speed limit1 (3.1%)
Glare1 (3.1%)
Illness1 (3.1%)
Visibility obstructed1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in adverse weather conditions increased from 8 in March 2023 to 10 in March 2024. The number of crashes on wet road surfaces doubled, increasing from 4 in the prior period to 8 in the current period. Crashes in dark or dusk conditions remained stable at 7 incidents in both periods.

Weather

Clear22 (68.8%)
4.8%prior 21
Rain4 (12.5%)
Cloudy/Rain3 (9.4%)
Clear/Severe crosswinds1 (3.1%)
Cloudy1 (3.1%)
Rain/Cloudy1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight25 (78.1%)
13.6%prior 22
Dark - lighted roadway4 (12.5%)
Dark - roadway not lighted1 (3.1%)
Dark - unknown roadway lighting1 (3.1%)
Dusk1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry24 (75.0%)
4.3%prior 23
Wet8 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 54 in March 2023 to 63 in March 2024. Toyota remained the top vehicle make involved, increasing from 11 to 15 vehicles year-over-year. The 35-44 age group saw an increase in persons involved from 9 to 16, while the 45-54 age group experienced a decrease from 13 to 10.

Top Vehicle Makes (63 vehicles)

1
TOYOTA15 (23.8%)
36.4%prior 11
2
HONDA6 (9.5%)
3
FORD6 (9.5%)
0.0%prior 6
4
HYUNDAI5 (7.9%)
5
NISSAN5 (7.9%)
-28.6%prior 7
6
CHEVROLET5 (7.9%)
0.0%prior 5
7
JEEP3 (4.8%)
8
KIA3 (4.8%)
9
LEXUS3 (4.8%)
10
SUBARU2 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records

1 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (77 persons with recorded sex)

Male40 (51.9%)
37.9%prior 29
Female37 (48.1%)
23.3%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone significantly increased from 9 in March 2023 to 20 in March 2024. In contrast, crashes in the 40 mph speed zone decreased from 7 to 3, and those in the 65 mph zone decreased from 6 to 2. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: HUDSON, MA
  • Total crash records analyzed: 32
  • Total persons involved: 78
  • Total vehicles involved: 63

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). "HUDSON, MA Crash Intelligence Report: March 2024." Published June 21, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hudson/march-2024-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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Hudson, MA Crash Report — March 2024 | ThatCarHitMe.com