Poisson Process: interevent times

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SUMMARY

The discussion centers on calculating the expected time for a pedestrian to cross a road where cars arrive according to a Poisson Process (PP) with rate λ cars/sec. The expected time until the pedestrian completes the crossing is derived as (e^(x/u) - 1)/λ, where x is the width of the road in feet and u is the pedestrian's walking speed in feet/sec. The conversation highlights the importance of the memoryless property of exponential distributions in solving the problem and clarifies the notation used in the expected time formula.

PREREQUISITES
  • Understanding of Poisson Processes (PP) and their properties
  • Familiarity with exponential distributions and their memoryless property
  • Basic knowledge of calculus for handling limits and expected values
  • Ability to interpret mathematical notation and expressions
NEXT STEPS
  • Study the memoryless property of exponential distributions in detail
  • Learn about the derivation of expected values in Poisson Processes
  • Explore applications of Erlang distributions in queuing theory
  • Investigate real-world scenarios modeled by Poisson Processes
USEFUL FOR

Students studying probability theory, mathematicians interested in stochastic processes, and professionals working in fields involving queuing theory and traffic flow analysis.

SantyClause
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Homework Statement



Consider a one-way road where the cars form a PP(lambda) with rate lambda cars/sec. The road is x feet wide. A pedestrian, who walks at a speed of u feet/sec, will cross the road if and only if she is certain that no cars will cross the pedestrian crossing while she is on it. Shwo that the expected time until she completes the crossing is (ex/u -1)/lambda


I know we need x/u seconds to cross, but I really don't even know how to start it :/ Will we use the erlang distribution?
 
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SantyClause said:

Homework Statement



Consider a one-way road where the cars form a PP(lambda) with rate lambda cars/sec. The road is x feet wide. A pedestrian, who walks at a speed of u feet/sec, will cross the road if and only if she is certain that no cars will cross the pedestrian crossing while she is on it. Shwo that the expected time until she completes the crossing is (ex/u -1)/lambda


I know we need x/u seconds to cross, but I really don't even know how to start it :/ Will we use the erlang distribution?

What do you mean by the notation (ex/u -1)/lambda? Do you mean ##(e (x/u) - 1)/\lambda##, or ##(e^{x/u}-1)/\lambda## or ##e^{(x/u) - 1}/\lambda##, or something else?

Have you heard of the "memoryless" property of exponential distributions? You need to use it.

As to how to start: let T be the amount of time that passes until she starts crossing the road. Under what conditions is T = 0? If T > 0, she will wait for the next car to pass and then start again.
 

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