HOW CAN DATA-DRIVEN INNOVATION IMPROVE TRAFFIC SAFETY?
PROBLEM: IN 2017, THERE WERE 1,094 FATAL TRAFFIC CRASHES RESULTING IN 1,179 TRAFFIC FATALITIES ON OHIO ROADWAYS.
We believe that data and technology can help improve traffic safety and reduce these numbers in the future.
Value Story: As a father, I want to make sure my children have every opportunity to live healthy and long lives, so increasing traffic safety by reducing the number of traffic fatalities will help keep my family and I safe while operating a vehicle on Ohio roadways.
Today, professionals responsible for managing and improving the safety of our transportation system must often rely on dispersed and sometimes outdated or incomplete traffic information. Data on speed limits, intersection controls, guardrails and more are maintained by numerous agencies. Crash records may not be available for at least a week or more. Still other data, such as data from on-board units that log vehicle speeds, location, time, acceleration, deceleration, traction control or road impacts events, is not available to transportation planners and engineers. Smart Columbus is committed to improving the range and timeliness of data available about the transportation system to increase safety on our roadways.
- Access and utilize data to help the network operate more efficiently by allowing traffic engineers to respond and adapt to real-time conditions.
- Compile data on weather conditions, time of day, traffic volumes to allow for predictive modeling of high-risk conditions to alert the traffic management center and emergency services in real-time to help mitigate future risks.
- Develop a resource for gathering, storing, analyzing and visualizing real-time and historical data about the transportation network to provide a more complete picture of travel conditions and allow for more proactive identification and resolution of safety issues.
- Use near-miss information to increase the number of data points available to help planners and engineers proactively implement safety improvements.
- Utilize data on irregular traffic patterns, such as four-way stop behavior at a signalized intersection, which could alert the traffic management center to system malfunctions and dispatch police to maintain traffic before a collision occurs.
- Data Scientists
- Public Safety Personnel
- Traffic Control Manufacturers
- Transportation Engineers
- Transportation Network Companies
- Transportation Planners at the local, county, regional and state level