Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89415
Title: Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
Authors: Chai, Chen
Wong, Yiik Diew
Keywords: Analytic Hierarchy Process (AHP)
Data Envelopment Analysis (DEA)
DRNTU::Engineering::Civil engineering
Issue Date: 2017
Source: Chai, C., & Wong, Y. D. (2017). Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions. Journal of Physics: Conference Series, 814, 012012-. doi:10.1088/1742-6596/814/1/012012
Series/Report no.: Journal of Physics: Conference Series
Abstract: This study provides an integrated strategy, encompassing microscopic simulation, safety assessment, and multi-attribute decision-making, to optimize traffic performance at downstream merging area of signalized intersections. A Fuzzy Cellular Automata (FCA) model is developed to replicate microscopic movement and merging behavior. Based on simulation experiment, the proposed FCA approach is able to provide capacity and safety evaluation of different traffic scenarios. The results are then evaluated through data envelopment analysis (DEA) and analytic hierarchy process (AHP). Optimized geometric layout and control strategies are then suggested for various traffic conditions. An optimal lane-drop distance that is dependent on traffic volume and speed limit can thus be established at the downstream merging area.
URI: https://hdl.handle.net/10356/89415
http://hdl.handle.net/10220/46242
ISSN: 1742-6588
DOI: http://dx.doi.org/10.1088/1742-6596/814/1/012012
Rights: © 2017 The Author(s) (IOP Publishing). Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:CEE Journal Articles

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.