Traffic Violations In Maryland County

Context

A short description on Traffic Violations

A traffic violation is any violation of vehicle laws that is committed by the driver of a vehicle, which constitutes a "minor violation" or infraction varies, examples include moving and non-moving violations, defective or improper vehicle equipment, seat belt and child-restraint safety violations, and insufficient proof of license, exceeding speed limit, insurance or registration. In contrast, for more "serious" violations, traffic violators may be held criminally liable, accused of a misdemeanor or even a felony. Serious violations tend to involve multiple prior offenses, willful disregard of public safety, death or serious bodily injury, or damage to property.

Moving Violations vs. Non-Moving Violations

A moving violation occurs whenever a traffic law is violated by a vehicle in motion. Some examples of moving violations are speeding, running a stop sign or red light, and drunk driving. A non-moving violation, by contrast, is usually related to parking or faulty equipment. Examples include parking in front of a fire hydrant, parking in a no-parking zone, parking in front of an expired meter, and excessive muffler noise.

Content

This data set contains all events of traffic violations from 2012 to 2018. It has about 1.04 million records.

The data include items, such as:

Accident : If traffic violation involved an accident.

Agency : Agency issuing the traffic violation. (Example: MCP is Montgomery County Police)

Alcohol : If the traffic violation included an alcohol related

Arrest Type : Type of Arrest (A = Marked, B = Unmarked, etc.)

Article : Article of State Law. (TA = Transportation Article, MR = Maryland Rules)

Belts : If traffic violation involved a seat belt violation.

Charge : Numeric code for the specific charge.

Color : Color of the vehicle.

Commercial License : If driver holds a Commercial Drivers License.

Commercial Vehicle : If the vehicle committing the traffic violation is a commercial vehicle.

Contributed To Accident : If the traffic violation was a contributing factor in an accident.

Date Of Stop : Date of the traffic violation.

Description : Text description of the specific charge.

DL State : State issuing the Driver’s License.

Driver City : City of the driver’s home address.

Driver State : State of the driver’s home address.

Fatal : If traffic violation involved a fatality.

Gender : Gender of the driver (F = Female, M = Male)

Geolocation : Geo-coded location information.

HAZMAT : If the traffic violation involved hazardous materials.

Latitude : Latitude location of the traffic violation.

Location : Location of the violation, usually an address or intersection.

Longitude : Longitude location of the traffic violation.

Make : Manufacturer of the vehicle (Examples: Ford, Chevy, Honda, Toyota, etc.)

Model : Model of the vehicle.

Personal Injury : If traffic violation involved Personal Injury.

Property Damage : If traffic violation involved Property Damage.

Race : Race of the driver. (Example: Asian, Black, White, Other, etc.)

State : State issuing the vehicle registration.

SubAgency : Court code representing the district of assignment of the officer. R15 = 1st district, Rockville B15 = 2nd
district, Bethesda SS15 = 3rd district, Silver Spring WG15 = 4th district, Wheaton G15 = 5th district, Germantown M15 = 6th district, Gaithersburg / Montgomery Village HQ15 = Headquarters and Special Operations

Time Of Stop : Time of the traffic violation.

VehicleType : Type of vehicle (Examples: Automobile, Station Wagon, Heavy Duty Truck, etc.)

Violation Type : Violation type. (Examples: Warning, Citation, SERO)

Work Zone : If the traffic violation was in a work zone.

Year : Year vehicle was made.

The time period of this data ranges from 2012-2018

Acknowledgements

This dataset was collected from https://www.data.gov/

Click here for dataset

Inspiration

• Is there a strong link between reckless drivers( under influence of alcohol,mobile phones ) and road accidents.

• Predict the likelihood of a driver causing road accident

• Based on the description column details can we identify whether its a moving or a non moving traffic violation?

• Finding daily trends and patterns for moving and non moving traffic violations