Traffic Noise

Khan, Abdul Qadir; Behere, S. H.; Patange, K. B.; Shaikh, Y. H.

doi:10.4018/jalr.2011100101

“…We see in Fig. 8 that even a very small percentage of cars which are slow to start results in a being closer to the pink noise just as that given by the experimental results [12].…”

Section: Resultssupporting

confidence: 73%

“…For the crr= 0 case, when we increase the density so that we reach the transition from free flow to the jammed region the noise shoots up from white noise to brown noise and then settles in the region of pink noise. This result does not correspond to a real situation where a is close to one [12]. We see clearly that for the crr = 0.5 the result is much more similar to the experimental results.…”

Section: Resultscontrasting

confidence: 43%

Untitled

2016

CTA

0

View full text Add to dashboard Cite

Previously we examined 1/f noise for a simple cellular automata model. For illustrative purposes we considered a specific case of approaching a city. The case involves a traffic light where one continues on the main road, into which additional cars are entering at the light. At this intersection an alternative route begins, which is longer but into which no additional cars are entering. In this paper we add a modified "Slow to move" model. We check the influence of different percentage of cars which have slow to continue values, on the overall velocity and flux. We calculate the Fourier transform of the average velocity for each traffic light cycle. All the cases can be written as 1/f a. We check by least squares the value of a. We compare qualitatively our results to experiments. When we do not assume cars which are "delayed", the results differ from experiment, but when we introduce the delay mechanism, the results are similar to the experimental values. These values give a close to one, this is called pink noise. We consider too different densities of cars. There are different characteristics for low densities mid range and high densities. We wish to point out that when the autonomous cars, i.e. cars without a human driver, will enter into use, the simple case without delayed cars will become dominant and so the noise will have brown sections at some densities instead of pink sections.

show abstract

“…[10][11]. An Indian group [12] made measurements in a number of selected locations from busy roads of Aurangabad and obtained a mostly pink noise in a large range of frequencies.…”

Section: Noisementioning

confidence: 99%

Untitled

2018

CTA

0

View full text Add to dashboard Cite

Previously we examined 1/f noise for a simple cellular automata model. For illustrative purposes we considered a specific case of approaching a city. The case involves a traffic light where one continues on the main road, into which additional cars are entering at the light. At this intersection an alternative route begins, which is longer but into which no additional cars are entering. In this paper we add a modified "Slow to move" model. We check the influence of different percentage of cars which have slow to continue values, on the overall velocity and flux. We calculate the Fourier transform of the average velocity for each traffic light cycle. All the cases can be written as 1/f a . We check by least squares the value of a. We compare qualitatively our results to experiments. When we do not assume cars which are "delayed", the results differ from experiment, but when we introduce the delay mechanism, the results are similar to the experimental values. These values give a close to one, this is called pink noise. We consider too different densities of cars. There are different characteristics for low densities mid range and high densities. We wish to point out that when the autonomous cars, i.e. cars without a human driver, will enter into use, the simple case without delayed cars will become dominant and so the noise will have brown sections at some densities instead of pink sections.

show abstract

“…[10][11]. An Indian group [12] made measurements in a number of selected locations from busy roads of Aurangabad and obtained a mostly pink noise in a large range of frequencies. To obtain S(f) we make the Fourier transform of the velocities.…”

Section: Noisementioning

confidence: 99%

Untitled

2014

CTA

0

View full text Add to dashboard Cite

Previously we examined 1/f noise for a simple cellular automata model. For illustrative purposes we considered a specific case of approaching a city. The case involves a traffic light where one continues on the main road, into which additional cars are entering at the light. At this intersection an alternative route begins, which is longer but into which no additional cars are entering. In this paper we add a modified "Slow to move" model. We check the influence of different percentage of cars which have slow to continue values, on the overall velocity and flux. We calculate the Fourier transform of the average velocity for each traffic light cycle. All the cases can be written as 1/f a. We check by least squares the value of a. We compare qualitatively our results to experiments. When we do not assume cars which are "delayed", the results differ from experiment, but when we introduce the delay mechanism, the results are similar to the experimental values. These values give a close to one, this is called pink noise. We consider too different densities of cars. There are different characteristics for low densities mid range and high densities. We wish to point out that when the autonomous cars, i.e. cars without a human driver, will enter into use, the simple case without delayed cars will become dominant and so the noise will have brown sections at some densities instead of pink sections.

show abstract

Traffic Noise

Cited by 7 publications

References 18 publications

Untitled

Untitled

Untitled

Untitled

Contact Info

Product

Resources

About