Monthly Traffic Safety Analysis

71 CRASHES IN
WESTON, MA
MAY 2024

All metrics benchmarked againstMay 2023

In May 2024, Weston experienced 71 total crashes, an increase of 9.23% compared to 65 crashes in May 2023. A notable shift includes DUI crashes rising from 0 in the prior period to 1 in the current period, while speeding-related crashes increased by 75% year-over-year.

71

9.2%was 65

Total Crash Events

0

Persons Killed

25

8.7%was 23

Persons Injured

6

20.0%was 5

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates an increase in crashes, with total crashes rising from 65 in May 2023 to 71 in May 2024, representing a 9.23% increase. Total injuries also saw an increase, from 23 to 25, an 8.7% rise year-over-year.

6

Hit-and-Run Crashes — May 2024

20.0% vs prior (5)

Hit-and-run crashes increased from 5 in May 2023 to 6 in May 2024, representing a 20% increase in count. The hit-and-run rate also rose from 7.7% to 8.5% year-over-year.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

24

Motorists Injured

Prior: 229.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · 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 16 crashes in May 2023 to Friday with 19 crashes in May 2024. The peak crash hour also changed, moving from 6 p.m. with 6 crashes in May 2023 to 5 p.m. with 9 crashes in May 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities in either May 2023 or May 2024. The number of serious injury crashes decreased from 2 (3.1% share) in May 2023 to 1 (1.4% share) in May 2024, while minor injury crashes decreased from 11 (16.9% share) to 7 (9.9% share). Crashes with no injury increased from 46 (70.8% share) to 58 (81.7% share) year-over-year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.4%
-50.0%prior 2
Minor Injury7minor injury crashes9.9%
-36.4%prior 11
Possible Injury5possible injury crashes7%
0.0%prior 5
No Injury58no injury crashes81.7%
26.1%prior 46

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Followed too closely,' increased from 17 crashes in May 2023 to 28 crashes in May 2024, a 64.7% increase. 'Failed to yield right of way' crashes decreased by 50% from 10 to 5, dropping its rank from second to fourth. 'Driving too fast for conditions' crashes increased by 150%, rising from 2 to 5 crashes.

Officer-Reported Primary Contributing Cause

Followed too closely28 (39.4%)64.7%prior 17
No improper driving8 (11.3%)14.3%prior 7
Driving too fast for conditions5 (7%)
Failed to yield right of way5 (7%)-50.0%prior 10
Failure to keep in proper lane or running off road5 (7%)0.0%prior 5
Inattention4 (5.6%)-50.0%prior 8
Disregarded traffic signs, signals, road markings3 (4.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (2.8%)
Other improper action2 (2.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions slightly increased from 44 to 45, while those in 'Rain' conditions decreased from 9 to 3. The number of crashes during 'Daylight' conditions rose from 53 to 64, with a corresponding decrease in crashes during 'Dark - lighted roadway' and 'Dark - roadway not lighted' conditions. Crashes on 'Wet' road surfaces increased from 9 to 14.

Weather

Clear45 (63.4%)
2.3%prior 44
Cloudy12 (16.9%)
71.4%prior 7
Cloudy/Rain5 (7.0%)
Clear/Cloudy3 (4.2%)
-40.0%prior 5
Rain3 (4.2%)
-66.7%prior 9
Rain/Cloudy3 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Weather condition at time of crash

Lighting

Daylight64 (90.1%)
20.8%prior 53
Dark - lighted roadway3 (4.2%)
-40.0%prior 5
Dark - roadway not lighted3 (4.2%)
Dark - unknown roadway lighting1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Lighting condition field

Road Surface

Dry57 (80.3%)
1.8%prior 56
Wet14 (19.7%)
55.6%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 133 in May 2023 to 148 in May 2024, an 11.3% rise. The age group 26-34 saw a notable increase in persons involved, from 26 to 39, while the 16-20 and 21-25 age groups saw decreases of 7 persons each. TOYOTA, which was the top make in May 2023 with 25 vehicles, saw its involvement decrease to 12 vehicles, while HONDA became the top make in May 2024 with 20 vehicles.

Top Vehicle Makes (148 vehicles)

1
HONDA20 (13.5%)
17.6%prior 17
2
FORD17 (11.5%)
54.5%prior 11
3
TOYOTA12 (8.1%)
-52.0%prior 25
4
JEEP10 (6.8%)
-9.1%prior 11
5
MERCEDES-BENZ9 (6.1%)
6
CHEVROLET9 (6.1%)
50.0%prior 6
7
TESL7 (4.7%)
8
HYUNDAI7 (4.7%)
40.0%prior 5
9
SUBARU5 (3.4%)
0.0%prior 5
10
AUDI5 (3.4%)
-16.7%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Vehicle unit records

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

Sex Distribution (166 persons with recorded sex)

Male105 (63.3%)
20.7%prior 87
Female61 (36.7%)
-11.6%prior 69

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed zone increased from 11 to 18, and in the 55 mph zone from 14 to 18. Conversely, crashes in the 30 mph speed zone decreased from 7 to 3, and in the 25 mph zone from 4 to 3. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-05-01 to 2024-05-31 · 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: 2024-05-01 through 2024-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-05-01 through 2024-05-31 (31 days)
  • Geographic scope: WESTON, MA
  • Total crash records analyzed: 71
  • Total persons involved: 175
  • Total vehicles involved: 148

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). "WESTON, MA Crash Intelligence Report: May 2024." Published June 21, 2026. Reporting period: 2024-05-01 to 2024-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weston/may-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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Weston, MA Crash Report — May 2024 | ThatCarHitMe.com