A model based on two roads and traffic lights probability

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SUMMARY

The forum discussion centers on modeling traffic light timing at an intersection of two roads, considering probabilistic car arrivals. Julia proposes a model where the green light duration is based on the probabilities of car arrivals, denoted as P(A) and P(B). The conversation highlights the importance of factors such as traffic volume, sensor presence, and network effects from adjacent traffic lights. A suggestion is made to use a basic 30-second interval for light changes, although this is deemed insufficient for complex scenarios.

PREREQUISITES
  • Understanding of probability theory related to traffic flow
  • Familiarity with traffic light control systems
  • Knowledge of traffic simulation tools like MATLAB or Excel
  • Awareness of network effects in traffic management
NEXT STEPS
  • Research traffic light optimization algorithms
  • Learn about traffic simulation using MATLAB
  • Explore the impact of sensor technology on traffic management
  • Investigate network traffic light coordination strategies
USEFUL FOR

Traffic engineers, urban planners, and data analysts interested in optimizing traffic flow and light timing at intersections.

Juliayaho
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Hello this is Julia.
I wanted to build a model with a probability problem with the following.

Consider the intersection of two roads controlled by a traffic light. The model should consider probabilistic the arrival of automobiles in each direction. Then evaluate how you would set the timing for the length that the light is green in each direction.

These are some Factors that could be consider (Not all needed):
What if the traffic is very light in one road and very heavy in the other?
What if there are sensors to detect the presence of automobiles at the intersection?
What if there are no sensors?
What possible criteria could you use to determine the "goodness" of alternative timing schemes?
How does the optimal timing of the traffic light depend on different evaluation criteria?
What if you had to consider network effects such as two or more traffic lights relatively near each other, so that the timing at one light affects the arrival rates and optimal timing at others?This is what I think so far
Maybe all modern roads with heavy traffic require sensors now, so probability of traffic flow would not be relevant.

So if I have a two minute cycle with the lights and section the two minutes according to the probabilities assigned to the two roads. For example, if the probability that a car will arrive next in road A is P(A) = a, then the probability that a car will arrive next in road B is P(B) = 1 - a.

I could assign the lights "2a" for road A and "2(1-a)" for road B, then I think I need to decide about how long I will allow yellow/amber light from the green.Any ideas of how I can set it up? Or maybe any different ideas about a model involving traffic lights and those 2 roads?
Any help/thoughts will be much appreciated.
Thanks!

Ps. Not sure if its necessary to use mathlab or if I could use excel
 
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Re: A model based on 2 roads and traffic lights probability.

Hi Julia! :)

I've neglected to answer this thread of yours since the problem statement is really a bit too general, since these traffic light problems are really difficult.
I do not know if you're still interested, but let me make an initial statement.

In its simplest form you will want to distinguish 4 different situations.
Can you tell which ones?
The "first order" solution for that would be to set the traffic lights to green/red in each situation in 30 second intervals.
This is typically what work-in-progress traffic lights do.
Of course, in more realistic scenarios this is simply not good enough.

Care to join the discussion?
 

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