A Genetic algorithm approach to assessing work zone casualty risk

10.1016/j.ssci.2011.05.001

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Bibliographic Details
Main Authors: Meng, Q., Weng, J.
Other Authors: CIVIL & ENVIRONMENTAL ENGINEERING
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/54211
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Institution: National University of Singapore
id sg-nus-scholar.10635-54211
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spelling sg-nus-scholar.10635-542112023-10-30T07:45:38Z A Genetic algorithm approach to assessing work zone casualty risk Meng, Q. Weng, J. CIVIL & ENVIRONMENTAL ENGINEERING Casualty risk Classification rule Crash Genetic algorithm Work zone 10.1016/j.ssci.2011.05.001 Safety Science 49 8-9 1283-1288 SSCIE 2014-06-16T09:28:45Z 2014-06-16T09:28:45Z 2011-10 Article Meng, Q., Weng, J. (2011-10). A Genetic algorithm approach to assessing work zone casualty risk. Safety Science 49 (8-9) : 1283-1288. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ssci.2011.05.001 09257535 http://scholarbank.nus.edu.sg/handle/10635/54211 000292898000025 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Casualty risk
Classification rule
Crash
Genetic algorithm
Work zone
spellingShingle Casualty risk
Classification rule
Crash
Genetic algorithm
Work zone
Meng, Q.
Weng, J.
A Genetic algorithm approach to assessing work zone casualty risk
description 10.1016/j.ssci.2011.05.001
author2 CIVIL & ENVIRONMENTAL ENGINEERING
author_facet CIVIL & ENVIRONMENTAL ENGINEERING
Meng, Q.
Weng, J.
format Article
author Meng, Q.
Weng, J.
author_sort Meng, Q.
title A Genetic algorithm approach to assessing work zone casualty risk
title_short A Genetic algorithm approach to assessing work zone casualty risk
title_full A Genetic algorithm approach to assessing work zone casualty risk
title_fullStr A Genetic algorithm approach to assessing work zone casualty risk
title_full_unstemmed A Genetic algorithm approach to assessing work zone casualty risk
title_sort genetic algorithm approach to assessing work zone casualty risk
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/54211
_version_ 1781411949452460032