Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions

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...

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Main Authors:	Chai, Chen, Wong, Yiik Diew
其他作者:	School of Civil and Environmental Engineering
格式:	Article
語言:	English
出版:	2018
主題:	Analytic Hierarchy Process (AHP) Data Envelopment Analysis (DEA) DRNTU::Engineering::Civil engineering
在線閱讀:	https://hdl.handle.net/10356/89415 http://hdl.handle.net/10220/46242
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

id	sg-ntu-dr.10356-89415
record_format	dspace
spelling	sg-ntu-dr.10356-894152020-03-07T11:43:39Z Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions Chai, Chen Wong, Yiik Diew School of Civil and Environmental Engineering Centre for Infrastructure Systems Analytic Hierarchy Process (AHP) Data Envelopment Analysis (DEA) DRNTU::Engineering::Civil engineering 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. MOE (Min. of Education, S’pore) Published version 2018-10-08T05:55:06Z 2019-12-06T17:25:00Z 2018-10-08T05:55:06Z 2019-12-06T17:25:00Z 2017 Journal Article 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 1742-6588 https://hdl.handle.net/10356/89415 http://hdl.handle.net/10220/46242 10.1088/1742-6596/814/1/012012 en Journal of Physics: Conference Series © 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. 7 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	Analytic Hierarchy Process (AHP) Data Envelopment Analysis (DEA) DRNTU::Engineering::Civil engineering
spellingShingle	Analytic Hierarchy Process (AHP) Data Envelopment Analysis (DEA) DRNTU::Engineering::Civil engineering Chai, Chen Wong, Yiik Diew Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
description	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.
author2	School of Civil and Environmental Engineering
author_facet	School of Civil and Environmental Engineering Chai, Chen Wong, Yiik Diew
format	Article
author	Chai, Chen Wong, Yiik Diew
author_sort	Chai, Chen
title	Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
title_short	Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
title_full	Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
title_fullStr	Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
title_full_unstemmed	Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
title_sort	integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions
publishDate	2018
url	https://hdl.handle.net/10356/89415 http://hdl.handle.net/10220/46242
_version_	1681034830047870976

Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions

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