?? Just Presented at TRB 2025! ?? We’re thrilled to share that our latest study, “Turn-In Path Same Crashes - Driver Behavior and Perception Response Time from the SHRP-2 Naturalistic Database”, was presented yesterday at the Transportation Research Board Conference! Authored by Swaroop Dinakar, Jeff Muttart, Tim Maloney and Suntasy Gernhard-Macha, this research takes a closer look at Turn-In-Path (TIP) crash scenarios, where another vehicle turns into the path of a straight-moving car. ?? Key Findings: ? Analyzed 167 real-world TIP incidents (crashes and near-crashes) using the SHRP-2 Naturalistic Database. ? Measured driver perception response times (PRT) based on when the turning vehicle entered the lane. ? Explored how factors like time to conflict, vehicle behavior, and driver distraction influence emergency responses. ? Provided comparisons between human and hypothetical automated vehicle reactions in these scenarios. This research offers crucial insights for designing advanced crash avoidance systems and improving driver assistance technologies. Stay tuned for more updates on how this study contributes to safer roads and better understanding of driver behavior! #TRB2025 #DriverBehavior #TrafficSafety #SHRP2 #CrashAvoidance
Our research concentrates on operator perception response and reaction times to immediate and non-immediate hazards including recognition, and response choices.
?? Exciting News from Our Recent Presentation! ?? Tim and I recently had the privilege of presenting Swaroop’s paper on the turn-into-path emergency response event. We're particularly excited about this crash type because it's one of three we've identified that deviates from the typical stimulus-response pattern. Alongside turn-into-path, we explored high-speed minor road angular path intrusions and head-on crashes, all of which are primarily influenced by time to contact. As Peter Hancock's research on head-on collisions suggests, drivers often adopt a wait-and-see approach in these scenarios. We've pinpointed these crash types as ideal for comparing human drivers to automated vehicles, offering valuable insights into how each perceives the onset of hazards. This research opens up new avenues for understanding driver behavior and enhancing the safety of automated driving systems. Looking forward to further discussions and collaborations in this area! ?? #AutomatedVehicles #CrashResearch #DriverSafety #Innovation
