Marion is a commuter city, and truck crashes here frequently involve predictable, high-concentration driving moments—such as:
- Rush-hour merging and lane changes on busier corridors
- Intersections with heavy turning movements where visibility can be affected by weather or traffic flow
- Work-zone traffic patterns that force slower speeds, abrupt merges, and tighter spacing
AI tools typically assume a “generic” collision scenario. They usually can’t account for the specific story that changes value in a truck case—like whether the truck had a clear line of sight, whether braking distance was sufficient for the conditions, or whether the crash report reflects the correct sequence of events.
Even when an AI model includes categories for injuries and losses, it can’t confirm which facts are provable in your situation.


