For years, drivers have relied on a digital game of cat-and-mouse to navigate speed traps. A notification from Waze or Radarbot would trigger a sudden brake, a momentary dip below the limit, and a quick acceleration once the camera was in the rearview mirror. However, that strategy is becoming obsolete in the Centennial State.
Colorado is currently deploying a sophisticated average-speed camera system that renders traditional point-based alerts nearly useless. Unlike standard speed cameras that capture a vehicle’s velocity at a single moment in time, these modern Automated Vehicle Identification Systems (AVIS) track vehicles across multiple points to calculate their average speed over a specific distance.
The shift represents a fundamental change in how traffic enforcement is handled on Colorado’s highways. By measuring the time it takes for a vehicle to travel between two distant sensors, the system can identify speeders regardless of whether they slowed down for a visible camera. If a driver’s average speed is 10 miles per hour or more over the posted limit, a ticket is automatically generated.
As a former software engineer, I discover the logic behind this transition straightforward: the system moves from a “snapshot” model to a “time-and-distance” calculation. In the old model, a driver only had to be compliant for a few seconds. In the AVIS model, the driver must be compliant for the entire duration of the monitored zone.
The Engineering Behind the AVIS System
The technical implementation of Colorado’s new speed camera system relies on a network of cameras that record license plates at a starting point and an ending point. The system then timestamps these entries and exits. By dividing the known distance between the two points by the time elapsed, the software determines the average speed of the vehicle.
This methodology specifically targets the “brake-and-bolt” behavior common among drivers who use GPS-based crowd-sourced apps. Since Waze alerts are typically tied to a specific geographic coordinate (the location of the camera), they only warn the driver of the sensor’s location, not the entire monitored corridor. If a driver speeds through the majority of a zone and only slows down at the sensor, their average speed remains high enough to trigger a violation.
This shift in enforcement is designed to create a “halo effect” of sustained compliance rather than momentary caution, which officials argue leads to safer roads, particularly in high-risk areas.
Comparing Traditional vs. Average Speed Enforcement
| Feature | Traditional Speed Cameras | AVIS (Average Speed) |
|---|---|---|
| Detection Method | Instantaneous velocity (Radar/Lidar) | Time elapsed between two points |
| Driver Tactic | Slowing down at the camera | Must maintain speed for the entire zone |
| Waze Effectiveness | High (Pinpoints specific location) | Low (Cannot pin a distance-based zone) |
| Primary Goal | Point-of-impact deterrence | Sustained corridor compliance |
Legal Framework and Implementation
The rollout follows a 2023 change in state law that expanded the authority of law enforcement to use Colorado legislative mandates regarding automated vehicle identification. This legal pivot allowed the state to move beyond traditional police patrols and fixed-point cameras to a more systemic, automated approach.
The deployment was phased to allow drivers to adjust. The systems initially began by issuing warnings—essentially “mock tickets” that informed drivers they had been caught but did not require payment. However, the grace period ended late last year, and police have since begun issuing actual citations.
The most recent expansion of this surveillance has occurred on a stretch of I-25 north of Denver. The Colorado Department of Transportation (CDOT) installed these cameras specifically within a construction zone, where lower speed limits are critical for the safety of road crews. This specific section began issuing tickets on April 2.
Penalties and Driver Impact
For those caught in the AVIS net, the consequences are financial rather than administrative. The current fine for exceeding the speed limit via these cameras is $75. Notably, these citations carry zero points against the driver’s license, meaning they function more as civil penalties than criminal traffic violations.
One of the most significant aspects of the system is the liability shift. Because the camera captures the license plate rather than the driver’s face, the ticket is issued to the registered owner of the vehicle. This remains true regardless of who was actually behind the wheel at the time of the violation, placing the burden of proof on the owner if they wish to contest the ticket by proving they were not driving.
This approach has sparked discussions regarding privacy and the “panopticon” effect of highway surveillance. While the stated goal is safety—particularly in work zones—the ability to track a vehicle’s precise movement and timing across a highway network introduces a level of oversight that was previously reserved for manual police checkpoints.
Note: This information is provided for informational purposes only and does not constitute legal advice. Drivers should consult local statutes or legal counsel regarding traffic violations in Colorado.
Looking forward, CDOT is expected to continue evaluating the effectiveness of AVIS in reducing accidents within construction zones. As more corridors are equipped with these systems, the reliance on point-based navigation alerts will likely continue to diminish in favor of a broader requirement for sustained speed limit adherence.
Do you think average-speed cameras are an effective tool for road safety, or an overreach in surveillance? Let us know in the comments or share this story with fellow commuters.
