Inefficient emergent oscillations in intersecting driven many-particle flows

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

For related publications see http://www.helbing.org

Scientific paper

10.1016/j.physa.2005.12.041

Oscillatory flow patterns have been observed in many different driven many-particle systems. The conventional assumption is that the reason for emergent oscillations in opposing flows is an increased efficiency (throughput). In this contribution, however, we will study intersecting pedestrian and vehicle flows as an example for inefficient emergent oscillations. In the coupled vehicle-pedestrian delay problem, oscillating pedestrian and vehicle flows form when pedestrians cross the street with a small time gap to approaching cars, while both pedestrians and vehicles benefit, when they keep some overcritical time gap. That is, when the safety time gap of pedestrians is increased, the average delay time of pedestrians decreases and the vehicle flow goes up. This may be interpreted as a slower-is-faster effect. The underlying mechanism of this effect is explained in detail.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Inefficient emergent oscillations in intersecting driven many-particle flows does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Inefficient emergent oscillations in intersecting driven many-particle flows, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Inefficient emergent oscillations in intersecting driven many-particle flows will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-513053

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.