Prof. Howard Weiss shares his insights with opur readers monthly.
AI is becoming an increasingly important tool in public transportation and traffic management. Traffic cameras have been used since 1956, when they were introduced in London. Modern AI-enabled cameras, however, do more than record images. They can interpret what they see and identify traffic violations and other events in real time.
Cities and transportation agencies worldwide are experimenting with this technology. In Greece, AI cameras identify drivers who fail to wear seat belts, who use cell phones, or who exceed speed limits. In Goa, India, 26 locations have installed cameras to identify similar violations. Mississippi uses AI cameras to alert officers to traffic violations. Houston is purchasing AI cameras to improve traffic flow. In the Dallas–Fort Worth area, AI cameras assist criminal investigations
AI cameras are also being used on buses. In Philadelphia, SEPTA uses AI-powered cameras to identify vehicles illegally parked and blocking buses. Broward and Miami-Dade Counties in Florida use cameras mounted on school buses to identify motorists who fail to stop when buses are loading or unloading students.
Benefits and Costs The primary benefit of AI cameras is improved public safety. Several communities have reported reductions in traffic violations after cameras were installed. AI can also reduce the number of police officers required for traffic enforcement and can speed citation processing.
Citywide systems can require millions of dollars in capital investment, as well as expenses for software development and preventive and breakdown maintenance, as discussed in Chapter 17 of your Heizer/Render/Munson textbook. Fines may offset some costs.
Privacy is another concern. Although systems identify vehicles rather than drivers, they can collect information about where vehicles travel and when. This raises important questions about data retention, access, and appropriate use.
Implementation and Quality Control The experience of several communities demonstrates the importance of quality control. Miami-Dade and Philadelphia both used warning periods before imposing fines. Miami-Dade later suspended its program because of inaccurate citations and subsequently modified the system to improve consistency and transparency. In Greece, reports found significant discrepancies between AI-generated citations and violations ultimately determined to be valid. Some drivers were cited even though they had stopped because of an ambulance or police vehicle.
Classroom Discussion questions:
- What rules should governments establish regarding data collection, storage, and access?
- What quality-control procedures should be required before a driver is fined based on an AI-generated violation?