Visualize the Future of Traffic Safety
Vision Zero is a top agency and state priority
However, U.S. crash fatalities have seen dramatic increases in 2020 and 2021, while remaining flat in 2022
To change the trajectory and save more lives, law enforcement agencies and states have a choice to make:
Continue working with fragmented data in silos that shroud their ability to quickly see when, where and why traffic accidents are occurring. By doing so, agencies can remain stuck in a reactive mode, unable to plan strategically for the reduction of accidents and fatalities.
OR
Mindfully improve their level of data sophistication, and build a safety strategy that is proactive or even preventative. By automating unstructured data, agencies can more easily integrate and transform data into insights that address real-world issues. Those data-driven agency decisions can then be used to save more lives—in communities and on roadways.
Where is your agency or state on the Coplogic Data Sophistication Model?
Let us meet you where you are, and help you get where you want to be.
Driving safer roadways
Level 1: Reactive
Crash data is collected manually at the accident scene to generate handwritten reports. To gain a copy of the report, involved parties must respond by mail or drive to the police station.
They often:
- Rely on paper-based methods
- Have siloed data
- Use little to no data and analytics
Level 2: Reactive
Crash data is still collected manually and the paper reports are circulated by hand or mail. Online report distribution has been enabled for greater convenience and timeliness to the community.
They often:
- Rely on a mix of paper and electronic methods
- Have siloed data
- Use minimal data and analytics
Level 3: Reactive
There is a commitment to electronic collection and distribution of reports, but the system is often outdated. Data of where crashes are occurring may exist, but there are little or no analytics about how they are happening — and why.
They often:
- Rely on teams of analysts to uncover insights within the data
- Experience lengthy delays in obtaining meaningful data
- Have siloed data
Level 4: Proactive
With a more holistic approach to crash report collection, review and distribution, processes are automated and systems are integrated delivering data-driven, actionable decisioning for proactive enforcements and planning.
They often:
- Know where, when and why crashes are happening in their community
- Share the data and analytics with their command staff and patrols to inform traffic safety decisions
- Have data and analytics available for grant funding initiatives
Level 5: Preventive
By adopting an advanced technology platform infrastructure that enables the integration of business intelligence and connected data overlay, comprehensive crash and citation data visualizations drive highly strategic, preventive decisioning.
They often:
- Have access to data and analytics visualizations in real-time at their fingertips
- Know where when and why crashes happen and citations are written within their community
- Enable automated decisioning to help them prevent crashes
- Lead discussions with their community, city council, state department of transportation and other stakeholders to develop community-engaged strategies to prevent crashes
- Have access to meaningful documentation to garner approval for speed limit, speed sign, stop sign and other impactful infrastructure changes
- Gain access to grant funding to further roadway improvements that can also prevent crashes
