Properties of a Microscopic Heterogeneous Multi-Anticipative Traffic Flow Model
This paper considered heterogeneous multi-anticipative car-following modeling established by estimating car-following models using empirical trajectory data. Based on the estimation results, the authors conclude that including multi-anticipative behavior strongly improves the descriptive performance of car-following models at the microscopic level. Furthermore, the papers has shown that the behavior of the individual drivers can only be captured by considering different car-following modeling paradigms, in this case the generalized Helly model family and the modified Lenz model family. Finally, it was concluded that the inter-driver differences were not only expressed by the suitability of different model types, but also by the large variability in the driver-specific car-following parameters. Based on the result, the authors proposed a HEterogeneous Multi-Anticipative (HEMA) model that includes the generalized Helly mode and the modified Lenz model.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780080453750
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Corporate Authors:
Elsevier
Linacre House, Jordan Hill
Oxford, United Kingdom OX2 8DP -
Authors:
- Hoogendoorn, Serge P
- Ossen, Saskia
- Schreuder, Marco
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Conference:
- Transportation and Traffic Theory 2007. Papers Selected for Presentation at ISTTT17
- Location: London , England
- Date: 2007-7-23 to 2007-7-25
- Publication Date: 2007
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 583-606
- Monograph Title: Transportation and Traffic Theory 2007
Subject/Index Terms
- TRT Terms: Car following; Highway capacity; Highway operations; Microscopic traffic flow; Traffic control; Traffic delays; Traffic flow
- Uncontrolled Terms: Anticipatory optimization; Car following models; Heterogeneous traffic
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;
Filing Info
- Accession Number: 01076783
- Record Type: Publication
- ISBN: 9780080453750
- Files: TRIS
- Created Date: Sep 21 2007 1:55PM