Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/59122
Title: Modeling speed-flow relationship and merging behavior in work zone merging areas
Authors: Weng, J.
Meng, Q. 
Keywords: Logit model
Merging behavior
Merging distance
Speed-flow
Work zone
Issue Date: Dec-2011
Citation: Weng, J., Meng, Q. (2011-12). Modeling speed-flow relationship and merging behavior in work zone merging areas. Transportation Research Part C: Emerging Technologies 19 (6) : 985-996. ScholarBank@NUS Repository.
Abstract: This paper aims to investigate the speed-flow relationship and drivers' merging behavior in work zone merging areas. It first proposes lane-based speed-flow models, incorporating traffic conflicts among the lanes. It proceeds to develop a desired merging location model determining where drivers start to consider merging and a binary logit model that is applied to estimate the probabilities that drivers will merge into current adjacent gaps. A merging distance model is also proposed to find the 85th percentile of the merging distance. Finally, real work zone traffic data in Singapore are used to calibrate and evaluate the developed models. The findings show that the speed-flow relationship in the through lane is affected by the merge lane traffic under uncongested circumstances. Satisfactory results indicate that the merging behavioral models can competently predict drivers' merging behavior and that the merging distance model could provide accurate information for traffic engineers to calculate the merge lane length. © 2011 Elsevier Ltd.
Source Title: Transportation Research Part C: Emerging Technologies
URI: http://scholarbank.nus.edu.sg/handle/10635/59122
ISSN: 0968090X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

32
checked on Mar 6, 2018

WEB OF SCIENCETM
Citations

23
checked on May 8, 2018

Page view(s)

58
checked on Jun 30, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.