Earlier posts on red light running and automated enforcement are available at category: automated enforcement.

The City of Sacramento has a crisis in biased law enforcement against people of color and low income, and also has a crisis of red light running.

The city had red light cameras at eleven locations, part of a program managed by Sacramento County Sheriff’s Office. The county dropped the program in early 2024, and all cameras were removed. The county claimed that the fines from red light running were not paying the cost of the program, and of the contractor. The City of Sacramento therefore dropped its program and has made no effort to restart it. At the dollar value of human life being $10M or more, it is hard to understand how the county saw this program as too costly. City of Sacramento paid $27M in traffic crash lawsuits over five years. The county information does not seem to be available, but it would likely be larger due to higher population, more road miles, and more poorly designed roadways and intersections.

The nature of red light running is that a motor vehicle driver T-bones someone, impacting other motor vehicles, walkers and bicyclists at a perpendicular angle at high speeds, frequently resulting in a fatality. This is not the leading cause of fatalities, but it is significant.

There are reasonable objections to any law enforcement of traffic laws. Traffic stops are often pre-textual, intended to discover illegal activity or warrants that have nothing to do with traffic law, and to oppress people of color and low income. Law enforcement officers not infrequently escalate interactions, resulting in intimidation, unlawful arrest, and death. Law enforcement often focuses on communities with people of color and low income, both because of the pre-textual nature of stops and intended intimidation of people in those communities. Even when justified, tickets for traffic violations have an outsized impact on lower income people because fines are a flat amount no matter the income of the violator, so are strongly regressive. Court fees add a great deal to the cost of a ticket, often sending low-income people in a downward economic and legal spiral. 

Automated enforcement of traffic law removes some of these concerns, but not others. By removing the interaction with officers, law enforcement intimidation and violence is eliminated. But the issue of outsized economic impact remains.

If a red light camera program were to be restarted in the City of Sacramento, it would have to have these characteristics:

1. The program would be operated by Public Works as part of their transportation management responsibilities, not by the Police Department.
2. Camera locations would be selected based on traffic crash location hot-spots, but adjusted so that low-income communities do not have a higher number of cameras per-capita than other areas 
3. For camera locations with a history of traffic crashes resulting in fatalities and severe injuries, and with a higher than average number of citations issued, the city would commit to making changes to that intersection to reduce the incidence of red light running and crashes.
4. The fines for red light running would be reduced for low-income people. The reduction could be a) across the board for income levels below a certain set percentage of the median household income, or b) based on the value of the vehicle driven by the violator. Alternatives to fines could also be implemented. Though income based fines are often mentioned, and are used in other countries, concerns about privacy and availability of the data make this impractical. The value of a vehicle is easily available, and does track to some degree with the income of the owner. It is not certain whether these options could be implemented by the city now, or if changes in state law would be required, but the city should commit to exploring options and committing to a solution.

Two other types of automated law enforcement have been discussed. Automated speed cameras are legal under a pilot program for several cities, but Sacramento is not one of them. It is unlikely that other cities would be added, or statewide implementation would occur before the pilot is completed. It is possible that active intelligent speed assistance will become law in California, and obviate the need for automated speed enforcement, at least in urban areas.

Automated enforcement of ‘failure to yield’ to walkers (pedestrians) law would be very useful. Failure to yield sometimes results in fatalities and severe injuries, but it always results in intimidation of people walking by people driving, reducing the frequency and comfort of walking trips. The technology for detection of ‘failure to yield’ is not well developed, but has been implemented in some cities and is practical. ‘Failure to yield’ is another crisis on our roadways.

This recommendation to restart the red light camera program in the city does not indicate that it is the primary solution to the traffic violence crisis. It is one among many tools. Changes to the roadway, temporary (quick-build) or permanent, are by far the most effective solution and should be the lead action by the city.