The goal of a traffic system isn't to create a pain-free experience for everyone, which is impossible. Instead, it's a utilitarian calculation to manage and distribute delay and frustration across the network, prioritizing the "greatest good for the greatest number" and ensuring everyone shares the burden.
While driven by data and algorithms, effective traffic engineering is fundamentally about understanding and shaping human behavior. Small physical changes, like moving a painted line by six inches, can alter driving speeds and actions more than a complex equation, making it as much an art as a science.
The massive pressure of the 1984 Olympics forced Los Angeles to develop the ATSAC system, a centralized traffic control network. Initially an experiment for the games, its success in reducing delays by 35% led to its permanent adoption and expansion, fundamentally changing the city's infrastructure and becoming a global model.
LA's sophisticated ATSAC system, with its real-time data and algorithms, cannot solve the traffic problems at the geometrically bizarre "Fairfax asterisk" intersection. This demonstrates that advanced technology is limited by underlying physical infrastructure; it can optimize but cannot fix fundamentally poor design, becoming "lipstick on a pig."
Urban infrastructure provides a fixed amount of physical space (streets). With demand for that space exceeding supply, the only variable engineers can truly control is time. Their entire job revolves around allocating slivers of time (green lights) to competing users, framing the problem as a temporal, not spatial, challenge.
LA's ATSAC system runs primarily on automated algorithms that adjust to traffic flow. However, its resilience comes from human engineers who can manually intervene during "extraordinary circumstances" like sinkholes or protests. This human-in-the-loop design is critical for handling unpredictable events that algorithms cannot foresee.