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Welcome everyone! Today we're diving into lane capacity in traffic signal design. Can anyone tell me what lane capacity means?
Is it about how many cars can fit in one lane at a time?
That's a good start! Lane capacity is actually how many vehicles can pass a given point in one hour under optimal conditions. We'll use the formula to calculate this. Anyone know what factors we need for this calculation?
I think we need effective green time and cycle time?
Exactly! Effective green time, g, refers to the total time vehicles can move, while C is the total time for one complete signal cycle. Let's break down the formula together.
Now, let's discuss effective green time. It combines actual green time and adjustments for lost time. Can someone explain what lost time is?
Isn't that the time when vehicles aren't moving at all, like when they're still waiting for the signal to turn green?
Correct! It's the time lost before the vehicles can start moving after the signal turns green, plus any other delays. It's important to subtract it to find the effective green time accurately.
So is the effective green time just how long the green light is, minus the lost time?
Exactly! If we understand this concept well, we can calculate lane capacity much more effectively.
Let's apply what we learned! Suppose we have a green time of 30 seconds, a cycle time of 60 seconds, and a saturation flow rate of 1800 vehicles per hour. How do we calculate the lane capacity?
We use the formula c = g / C. So if g is 30, and C is 60...
We get c = 30 / 60, which means 0.5. But that's in terms of capacity per second, right?
Great thinking! Now, we need to convert that into vehicles per hour. Multiply by 3600 seconds in an hour.
So it's 0.5 times 3600, which gives us... 1800 vehicles per hour?
Well done! You’ve successfully calculated the lane capacity.
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Lane capacity is defined as the amount of traffic that can be accommodated in a lane per hour, which is determined using effective green time and the saturation flow rate. The section introduces formulas for computing lane capacity and explains the significance of variables such as green time, lost time, and cycle time.
The capacity of a lane at a traffic signal intersection is a critical factor in traffic signal design, as it determines how many vehicles can pass through the intersection during a given period. This section specifically addresses how to calculate lane capacity based on effective green time and cycle length.
The effective green time is the actual time a traffic signal allows vehicles to move, factoring in lost time due to delays like the start-up time and clearance time. The formula for calculating lane capacity (c) is:
where:
- c = capacity of the lane in vehicles per hour,
- g = effective green time in seconds for movement i,
- C = cycle time in seconds.
The section illustrates examples of this calculation, further emphasizing the importance of considering various delays that can affect traffic flow. It highlights how lane capacity is crucial for optimizing the flow of vehicles at signalized intersections, ultimately improving traffic management.
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The ratio of effective green time to the cycle length (g_i) is defined as green ratio. We know that saturation flow rate is the number of vehicles that can be moved in one lane in one hour assuming the signal to be green always. Then the capacity of the lane can be computed as,
c_i = s_i (41.6)
where c is the capacity of lane in vehicle per hour, s is the saturation flow rate in vehicle per hour per lane, C is the cycle time in seconds.
This chunk introduces the concept of lane capacity, which pertains to how many vehicles can effectively pass through a lane at an intersection during a given timeframe. The 'green ratio' helps measure how much of the signal's cycle time is actually available for vehicular movement (effective green time) versus how long the entire signal cycle lasts (cycle length). The formula provided indicates that the capacity of the lane can be calculated by multiplying the saturation flow rate (how many vehicles can pass when the signal is green) with the effective green time, normalized over the cycle length.
Consider a busy intersection with a traffic light. When the light is green, vehicles can pass through. If the green time is shorter than the total cycle (which includes yellow and red lights), then not all vehicles queued can move. Think of it as a runway at an airport: if it is not used effectively (like if planes wait on the ground for a longer time than they fly), then fewer planes can take off in an hour. Hence, optimizing the green time relative to the cycle helps maximize traffic flow.
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where c is the capacity of lane in vehicle per hour, s is the saturation flow rate in vehicle per hour per lane, C is the cycle time in seconds.
The chunk repeats the formula, which emphasizes the necessity to understand that 'capacity' (c) indicates how many vehicles can pass through the lane per hour under ideal conditions. The saturation flow rate (s) represents the maximum flow of vehicles if the signal were constantly green. The cycle time (C) is key because it tells us how often vehicles are given the opportunity to enter the intersection. Thus, knowing these components allows traffic engineers to design signals that maximize vehicle movement.
Imagine that for every hour of green light, 150 cars can theoretically go through an intersection if traffic was perfectly efficient. However, if the signal only stays green for 30 seconds of a 60-second cycle, only a portion of those 150 will actually get to move. You can think of it like filling a bathtub; if the drain (representing signal cycles) is only open part of the time, you won't fill it as fast as if it were open constantly.
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For a movement at a signalised intersection green time is given as 27 seconds, 3 seconds for yellow plus all red out of a 60 seconds cycle. If the saturation headway is 2.4 seconds/vehicle, the start-up lost time is 2 seconds/phase and the clearance lost time is 1 second/phase, find the capacity of the movement per lane?
In the example, we are tasked with calculating the lane capacity. First, we find the total losses due to start-up and clearance times, which add up to 3 seconds per cycle. Next, we compute the effective green time: 27 seconds of green time plus 3 seconds of yellow minus the 3 seconds of lost time gives us an effective green time of 27 seconds. Using the saturation flow rate formula, we find the saturation flow rate based on a saturation headway of 2.4 seconds, which translates to 1500 vehicles per hour. Finally, we apply the capacity formula to find that the lane can effectively manage 675 vehicles per hour based on the given conditions.
Consider this like a fast-food drive-thru: if the window is open for 27 seconds (green light), but it takes time to process (lost time) orders or if a lot of cars need to be served in that 27 seconds, the total number of cars that can get served in that period will be lower than if no order taking was involved. Just like in traffic, the efficiency of the service and the timings impact how many cars can go through.
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Key Concepts
Effective Green Time: The sum of actual green time minus lost time.
Saturation Flow Rate: The maximum flow of vehicles under ideal conditions during green light.
Lane Capacity Formula: c = g / C, where 'c' is capacity, 'g' is effective green time, and 'C' is cycle time.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example of calculating lane capacity where green time is reduced by start-up lost time, calculating the effective green time.
Example of real-world intersection data showing how saturation flow rates vary during peak hours.
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Calculate lane capacity, don't you frown, it's effective green time divided by cycle all around!
Imagine a busy intersection where cars wait for the green light. The lost time is their anxious wait before zooming off again!
Remember GCL: Green time minus Clearance time leads to Lane capacity.
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Review the Definitions for terms.
Term: Lane Capacity
Definition:
The maximum number of vehicles that can pass through a lane per hour under ideal driving conditions.
Term: Effective Green Time
Definition:
The total time during which a traffic signal allows vehicles to move, accounting for delays or lost time.
Term: Cycle Time
Definition:
The total time for one complete rotation through all traffic signal indications.
Term: Lost Time
Definition:
The time during which vehicles are unable to move due to signal changes or delays.
Term: Saturation Flow Rate
Definition:
The maximum number of vehicles that can pass a given point in a lane during a green signal, under optimal conditions.