Monthly Traffic Safety Analysis

66 CRASHES IN
WESTON, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

Total crashes in Weston increased by 26.9% year-over-year, from 52 in August 2023 to 66 in August 2024. This period saw a notable increase in crashes attributed to 'Driving too fast for conditions', which rose from 1 crash in the prior period to 13 crashes in the current period.

66

26.9%was 52

Total Crash Events

0

Persons Killed

19

90.0%was 10

Persons Injured

3

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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Weston shows an upward trend, with total crashes increasing from 52 to 66, representing a 26.9% rise. Concurrently, the number of injured persons nearly doubled, increasing from 10 to 19.

3

Hit-and-Run Crashes — August 2024

0.0% vs prior (3)

The number of hit-and-run crashes remained constant at 3 in both August 2023 and August 2024. However, due to the overall increase in total crashes, the hit-and-run rate decreased from 5.8% in the prior period to 4.5% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

19

Motorists Injured

Prior: 1090.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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 Tuesday in August 2023 (14 crashes) to Friday in August 2024 (16 crashes). The peak hour also changed, moving from 4 PM (7 crashes) in the prior period to 2 PM (10 crashes) in the current period, indicating a shift in the busiest crash times.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either August 2023 or August 2024. However, the total number of injuries increased by 90%, from 10 in the prior period to 19 in the current period. The proportion of minor injuries increased from 9.6% to 12.1% of total crashes, while serious injuries remained constant at 1 crash in both periods.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.5%
0.0%prior 1
Minor Injury8minor injury crashes12.1%
60.0%prior 5
Possible Injury3possible injury crashes4.5%
50.0%prior 2
No Injury53no injury crashes80.3%
20.5%prior 44

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Driving too fast for conditions' saw a substantial increase, rising from 1 crash in August 2023 to 13 crashes in August 2024. 'Followed too closely' also increased in count from 16 to 22 crashes, representing a 37.5% rise. Conversely, 'Failed to yield right of way' decreased from 7 crashes to 5 crashes, a 28.6% reduction in count.

Officer-Reported Primary Contributing Cause

Followed too closely22 (33.3%)37.5%prior 16
Driving too fast for conditions13 (19.7%)
No improper driving8 (12.1%)14.3%prior 7
Inattention5 (7.6%)
Failed to yield right of way5 (7.6%)-28.6%prior 7
Other improper action3 (4.5%)-50.0%prior 6
Visibility obstructed2 (3%)
Failure to keep in proper lane or running off road2 (3%)
Exceeded authorized speed limit1 (1.5%)
Fatigued/asleep1 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 37 to 41, while 'Rain' conditions saw an increase from 5 to 13 crashes. The number of crashes on 'Wet' road surfaces rose from 11 to 18, reflecting a 63.6% increase. Crashes during 'Daylight' conditions increased from 46 to 56, maintaining their dominance.

Weather

Clear41 (63.1%)
10.8%prior 37
Rain13 (20.0%)
160.0%prior 5
Cloudy6 (9.2%)
0.0%prior 6
Clear/Cloudy3 (4.6%)
Cloudy/Rain2 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight56 (84.8%)
21.7%prior 46
Dark - lighted roadway4 (6.1%)
Dark - roadway not lighted3 (4.5%)
Dark - unknown roadway lighting2 (3.0%)
Dusk1 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry48 (72.7%)
17.1%prior 41
Wet18 (27.3%)
63.6%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 102 to 126 year-over-year, a 23.5% rise. TOYOTA remained the most common vehicle make involved in crashes, increasing from 17 to 22. The 26-34 age group saw a significant increase in persons involved, rising from 22 to 32.

Top Vehicle Makes (126 vehicles)

1
TOYOTA22 (17.5%)
29.4%prior 17
2
FORD15 (11.9%)
50.0%prior 10
3
HONDA10 (7.9%)
-33.3%prior 15
4
HYUNDAI9 (7.1%)
5
BMW7 (5.6%)
6
SUBARU5 (4%)
-37.5%prior 8
7
VOLVO4 (3.2%)
-20.0%prior 5
8
KIA4 (3.2%)
9
NISSAN4 (3.2%)
-20.0%prior 5
10
MERCEDES-BENZ4 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

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

Sex Distribution (136 persons with recorded sex)

Male87 (64.0%)
33.8%prior 65
Female49 (36.0%)
-2.0%prior 50

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones increased from 13 in August 2023 to 28 in August 2024, becoming the most frequent speed zone for crashes. There was also an increase in crashes within 55 mph zones, rising from 10 to 12. Conversely, crashes in 25 mph zones decreased from 8 to 2.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: WESTON, MA
  • Total crash records analyzed: 66
  • Total persons involved: 150
  • Total vehicles involved: 126

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: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weston/august-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 — August 2024 | ThatCarHitMe.com