The Surface Accelerations Reference — A Large-scale, Interactive Catalog of Passenger Vehicle Accelerations

Reducing the number of motor vehicle crashes is one of the major challenges of our times. Current strategies to lower crash rates fall into two categories: preemptively identifying dangerous driving behaviors to mitigate risks and employing intelligent vehicle technologies like Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) to automate driving tasks. For successful implementation of either strategy, a deeper understanding of human driving behavior is essential. Two important aspects of understanding driving behavior are longitudinal acceleration, which indicates how people speed up or slow down, and lateral acceleration, which shows how people take turns. Therefore, there is a need for a large-scale, real world, diverse, and context rich vehicle acceleration catalog that can be used to design, analyze, and compare various intelligent transportation systems.