A new study shows how biometric data can be used to find potentially challenging and dangerous areas of urban infrastructure. By analyzing eye-tracking data from cyclists navigating Philadelphia’s streets, researchers found that these individual-based metrics can provide a more proactive approach for designing safer roadways for bicyclists and pedestrians.
Current federal rules for installing safe transportation interventions at an unsafe crossing — such as a crosswalk with a traffic signal — require either a minimum of 90-100 pedestrians crossing this location every hour or a minimum of five pedestrians struck by a driver at that location in one year. Ryerson says that the practice of planning safety interventions reactively with a «literal human cost,» has motivated her and her team to find more proactive safety metrics that don’t require waiting for tragic results.
Part of the challenge, says Ryerson, is that transportation systems are designed and refined using metrics like crash or fatality data instead of data on human behavior to help understand what makes an area unsafe or what specific interventions would be the most impactful. This reactive approach also fails to capture where people might want to cross but don’t because they consider it too dangerous and that, if it were safe, more people would utilize.
«Today we have technology, data science, and the capability to study safety in ways that we didn’t have when the field of transportation safety was born,» says Ryerson. «We don’t have to be reactive in planning safe transportation systems; we can instead develop innovative, proactive ways to evaluate the safety of our infrastructure.»
The team developed an approach to evaluate cognitive workload, a measure of a person’s ability to perceive and process information, in cyclists. Cognitive workload studies are frequently used in other fields of transportation, such as air traffic control and driving simulations, to determine what designs or conditions enable people to process the information around them. But studies looking at cognitive workload in bicyclists and pedestrians are not as common due to a number of factors, including the difficulty of developing realistic cycling simulations.
The researchers in Ryerson’s lab looked at how different infrastructure designs elicit changes in cognitive workload and stress in urban cyclists. In 2018, the team had 39 cyclists travel along a U-shaped route from JFK Boulevard and Market Street, down 15th Street to 20th Street, then returning back to 15th and Market. Riders wore Tobii eye-tracking glasses equipped with inward- and outward-facing camera and a gyroscope capable of collecting eye- and head-movement data 100 times per second.
Story Source: Materials provided by University of Pennsylvania. Note: Content may be edited for style and length.