Online traffic state estimation based on floating car data

Computer Science – Other Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Appears in Proceedings of Traffic and Granular Flow '09 (TGF'09), see http://tgf09.shu.edu.cn

Scientific paper

Besides the traditional data collection by stationary detectors, recent advances in wireless and sensor technologies have promoted new potentials for a vehicle-based data collection and local dissemination of information. By means of microscopic traffic simulations we study the problem of online estimation of the current traffic situation based on floating car data. Our focus is on the estimation on the up- and downstream jam fronts determining the extension of traffic congestion. We study the impact of delayed information transmission by short-range communication via wireless LAN in contrast to instantaneous information transmission to the roadside units by means of mobile radio. The delayed information transmission leads to systematic estimation errors which cannot be compensated for by a higher percentage of probe vehicles. Additional flow measurements from stationary detectors allow for a model-based prediction which is effective for much lower floating car percentages than 1%.

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

Online traffic state estimation based on floating car data 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 Online traffic state estimation based on floating car data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Online traffic state estimation based on floating car data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-95322

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