Crash Reconstruction
How modern crash reconstruction actually works. Delta-V estimation from photos, PDOF analysis, crash pulse interpretation, and the transition from six-week expert reports to five-minute AI-generated evidence that holds up at trial.
Crash reconstruction used to belong to a narrow specialty. A scene diagram, a set of measurements, a human expert charging $10,000 and delivering six weeks later. Most files never got that treatment because the economics didn't work for anything under a mid-six-figure demand. The ones that did get analyzed often arrived past mediation, after reserves had already been set on the carrier side and a number had already been walked into the room.
Things have changed. Physics-based AI now produces the same categories of output a trained reconstructionist would produce, from the same photo evidence an adjuster already has on the file. Delta-V with confidence intervals. Principal direction of force. Crash pulse duration and peak g-force at the occupant position. Damage severity indexed on a repeatable 0-100 scale. Every number traces back to published methodology, auditable inputs, and a documented error rate. What used to live at month four of a litigation file is now available at FNOL.
The articles in this category are written for the people who actually use that output: claims adjusters triaging BI files, SIU investigators screening for damage-injury mismatch, defense counsel preparing for cross, plaintiff attorneys anchoring demand packages, and reconstructionists who want to understand what changes when AI enters their workflow. We explain the science in plain English, cite the research that supports the method, and stay honest about where the technology's limits still live.
What this section covers
- Delta-V estimation from crash photos and the physics behind the calculation
- Principal Direction of Force (PDOF) and why it matters for injury causation
- Crash pulse, g-force profiles, and occupant acceleration curves
- Event Data Recorder (EDR / CDR) interpretation and limitations
- Specific collision types: rear-end, T-bone, sideswipe, rollover, underride
- Stiffness coefficients, crush energy calculation, and barrier equivalent speed
- Photogrammetry, scene reconstruction, and AI-based damage assessment
- NHTSA, IIHS, and FMVSS standards that govern admissibility
Who this is for
Claims adjusters, SIU investigators, plaintiff and defense personal injury attorneys, reconstructionists, and biomechanical consultants who need a working command of crash physics without rewriting a physics textbook to get it.
Crash Reconstruction articles
Frequently asked
What is Delta-V and why do reconstruction reports center on it?
Delta-V is the change in velocity a vehicle undergoes during a collision. It is the single most predictive variable for occupant injury in the peer-reviewed biomechanical literature. Reports anchor to Delta-V because it converts the chaos of a crash into one defensible number that correlates with injury risk, settlement value, and reserves.
Can crash reconstruction really be done from photos?
Yes, for a meaningful portion of auto claims. AI-based reconstruction uses published stiffness coefficients, computer vision measurements of damage geometry, and physics-based modeling to produce Delta-V and PDOF estimates validated to 96% accuracy against NHTSA and IIHS benchmarks. For matters with unique geometry, a human reconstructionist still adds value. For most BI files, photos are enough.
How does this hold up in court?
Admissibility is decided case-by-case by the court and depends on the methodology, the offering attorney, and which expert lays foundation. Modern AI reconstruction tools document the four factors courts typically scrutinize, the tested methodology, peer-reviewed basis, known error rate, and general acceptance in the field, so an attorney has the foundation to argue for admission. Whether a specific expert and a specific report land in evidence is always jurisdiction and judge specific.