APPLYING AUTOMOTIVE EDR DATA TO TRAFFIC CRASH RECONSTRUCTION
“One of the best seminars ever attended. Excellent presentation; well worth cost; will assist me in future work.” David Sherpardson Consultant D.J. Shepardson & Assoc. LLC
This course provides you with the skills necessary to analyze EDR data that has already been imaged, apply it to crash reconstruction, and reconcile it with calculations using other data sources. The class presents the generic analysis step by step, then groups EDR’s into manufacturer-specific families and their data limitations, and works case studies that highlight targeted key learning objectives. Your also learn key points to satisfy court Frye and Daubert requirements for EDR data to be admissible, and suggested methods to present EDR data that will communicate the data understandably to attorneys and lay juries. LEARNING OBJECTIVES By attending this seminar, you will be able to: • Describe EDR sensor operation, recording interval and duration, resolution, accuracy, and time latency and articulate the limitations of applying the data to crash analysis • Calculate min and max speeds prior to loss of control or braking, and at impact based on the last accurate EDR pre-crash speed data point • Evaluate EDR vs. actual ground speed for specific vehicle operational conditions and vehicle equipment modifications • Calculate speed at impact and closing speeds by combining EDR Delta V data with normally collected scene and vehicle data such as post crash travel distance, departure angle, drag factor, and vehicle weights • Apply data to inline rear end, head on, and angular collisions • Reconcile EDR data with other physical evidence and combine to narrow speed ranges • Use time-distance and overlay EDR data on scene maps/diagrams to show where critical driving inputs were made vs. inputs required to avoid collisions
3 ways to get a no-obligation price quote to deliver a course to your company Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning Email us at Corplearn@sae.org
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