Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/2618
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Beura, Sambit Kumar | - |
dc.contributor.author | Kiran Kumar, N | - |
dc.contributor.author | Bhuyan, Prasanta Kumar | - |
dc.date.accessioned | 2017-01-14T07:11:14Z | - |
dc.date.available | 2017-01-14T07:11:14Z | - |
dc.date.issued | 2016-12 | - |
dc.identifier.citation | 12th TPMDC Transportation Planning and Implementation Methodologies for Developing Countries, IIT Bombay, Powai, Mumbai, India, 19-21 December 2016 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/2618 | - |
dc.description | Copyright belongs to the proceeding publisher | en_US |
dc.description.abstract | Service qualities offered to the bicycle through movement at signalized intersections under heterogeneous traffic conditions have been modeled using attributes collected from 35 intersection approaches. Perceived satisfactions of 160 users were assessed and seven major attributes contributing to bicycle services were identified. A highly reliable model (R2 = 0.86) was developed using step-wise regression analysis. Sensitivity analysis carried out on modelled variables reported that, main-street traffic volume (38%), width of main-street (17.6%), pavement conditions (15.9%) and average stopped time delay (15.2%) are by far the most important variables. Affinity Propagation clustering was used to define ranges of service categories (A-F). | en_US |
dc.subject | Signalized Intersection | en_US |
dc.subject | Heterogeneous Traffic Flow | en_US |
dc.subject | Bicycle Level of Service | en_US |
dc.subject | Perception Survey | en_US |
dc.subject | Stepwise Regression | en_US |
dc.subject | Sensitivity analysis | en_US |
dc.subject | Affinity Propagation Clustering | en_US |
dc.title | Level of Service for Bicycle Through Movement at Signalized Intersections Under Heterogeneous Traffic Flow Conditions | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2016_TPMDC_SKBeura_Level.pdf | 479.11 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.