Multiclass Speed-Density Relationship for Pedestrian Traffic
The authors introduce a probabilistic modeling approach for pedestrian speed-density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern, the authors relax the homogeneity assumption of equilibrium relations and propose a multiclass model. In addition to the general modeling framework, the authors also present some concrete model specifications. Real data are utilized to test the performance of the approach. The approach is able to reveal fundamental properties causing the heterogeneity in population and describe their impact on pedestrian movement. The authors also show the advantages of the proposed approach compared with approaches from the literature. The proposed model is flexible, and it provides richer information than traditional models.The e-companion is available at https://doi.org/10.1287/trsc.2018.0849.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
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Supplemental Notes:
- Abstracts reprinted with permission of INFORMS (Institute for Operations Research and the Management Sciences, http://www.informs.org).
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Authors:
- Nikolic, Marija
- Bierlaire, Michel
- de Lapparent, Matthieu
- Scarinci, Riccardo
- Publication Date: 2019-5
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 642-664
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Serial:
- Transportation Science
- Volume: 53
- Issue Number: 3
- Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
- ISSN: 0041-1655
- Serial URL: http://transci.journal.informs.org/
Subject/Index Terms
- TRT Terms: Mathematical models; Pedestrian traffic; Speed; Traffic density
- Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting;
Filing Info
- Accession Number: 01714939
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 27 2019 3:16PM