This chart reveals the volatility of traffic on Chicago's most congested streets. The blue bar represents the daily average traffic, while the red extension shows the peak congestion level. A large red segment indicates high unpredictability and a significant gap between typical and worst-case conditions, often leading to commuter frustration. Streets like S Lake Shore Dr show extreme variability, making them prime candidates for dynamic traffic management solutions.

Consistency is key to a reliable commute. This chart displays the standard deviation of traffic levels, where a lower bar signifies more predictable traffic patterns. High variability (a taller bar) suggests erratic congestion, making it difficult for drivers to plan their journeys. Streets with low consistency scores are often those most impacted by non-recurring events like accidents or construction, highlighting a need for better incident response systems.

This chart illustrates the daily rhythm of Chicago's traffic. It clearly shows the morning and evening rush hours, with congestion peaking around 8 AM and 5 PM. The midday dip offers a window for less-disruptive travel and logistical operations. Understanding this 24-hour cycle is fundamental for implementing time-based strategies like dynamic tolling or adjusting traffic signal timing.

This chart provides a high-level summary of the network's vital signs. By displaying disparate metrics like speed, congestion, and the number of streets on a logarithmic scale, it allows for a quick comparison of overall system performance. It serves as a starting point to identify which broader area (e.g., speed vs. number of congested segments) requires deeper investigation.