The Real-World Physics of Traffic Jams
Have you ever been stuck at a red light, wondering how much it's slowing down your journey? This problem takes a frustrating real-world scenario and turns it into a beautiful application of kinematics.
We are dealing with a traffic officer who wants to optimize the flow of vehicles. To do this, we model the traffic as a continuous stream of identical cars moving at a constant speed v0 when the light is green, and coming to a complete halt when the light is red.
The Master Equation
Average Speed
The core concept here is average speed. In physics, average speed over a time interval is simply the total distance covered divided by the total time taken.
vavg=Total TimeTotal Distance
Because the traffic light operates in a repeating cycle (red, then green, then red again), we only need to analyze a single complete cycle to find the overall average speed of the traffic.
Analyzing the Baseline
Case 1
Initially, the officer observes that the red and green signals have equal durations. Let's call this duration T.
During the red light (time T), the cars are stationary, so the distance covered is zero. During the green light (also time T), the cars move at their constant speed v0. The distance covered during this green phase is simply v0×T.
The total time for one complete cycle is T+T=2T. Therefore, the average speed v1 is:
We are given that this initial average speed v1 is 1.5 m/s. This allows us to calculate the actual moving speed of the vehicles:
This means when the cars are actually moving, they are cruising at 3.0 m/s.
The Officer's Intervention
Case 2
To improve the situation, the officer decides to double the duration of the green signal (η=2), while keeping the red signal duration exactly the same.
Now, the red signal still lasts for time T, but the green signal lasts for time 2T.
During this extended green phase, the cars cover a much larger distance: v0×2T. The total time for this new cycle is T+2T=3T.
The Final Calculation
Let's plug these new values into our average speed formula to find the new average speed v2:
We already know that the actual moving speed v0 is 3.0 m/s. Substituting this value in:
By simply doubling the green light duration, the officer successfully increased the average traffic speed from 1.5 m/s to 2.0 m/s.
The General Takeaway
This problem beautifully illustrates how macroscopic properties (like average traffic flow) depend on microscopic parameters (like signal timings). The general formula we derived, vavg=v0TR+TGTG, is a powerful tool for urban planners to optimize city traffic!