How Technology Is Catching Ghost Cars And Making Roads Safer
These vehicles not only cost cities millions in lost revenue but also pose serious safety risks.
They are often linked to crimes such as hit-and-runs, robberies, and shootings, making them a priority for law enforcement agencies.
Mobile license plate reader trailers stationed at bridge approaches further enhance detection capabilities. These tools allow authorities to track patterns and enforce laws more effectively.
Techniques like Shadow-Catcher use LiDAR data to differentiate between real and spoofed vehicles, achieving real-time accuracy. Radar systems also play a role by analyzing velocity vectors to detect inconsistencies that signal ghost targets.
New York has created specialized task forces that impound ghost cars and issue fines. Legal changes, such as banning license plate covers and increasing penalties for altered plates, strengthen enforcement efforts.
These devices require a unique PIN code entered via buttons in the vehicle before the engine starts.
While not directly tied to ghost cars, they highlight how technology is evolving to address vehicle-related crimes.
These vehicles often operate outside legal systems—unregistered and uninsured—making them difficult to trace during accidents or crimes.
By addressing this issue, cities improve public safety and restore order on their roads.
This interagency approach has proven effective in removing thousands of ghost cars from streets while recovering millions in unpaid fines.
Machine learning models trained on radar and LiDAR data could further improve accuracy in identifying ghost cars under complex conditions.
These innovations promise safer roads and better accountability for all drivers.
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