A combined frequency-severity approach for the analysis of rear-end crashes on urban arterials
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Das2011,
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author = "Abhishek Das and Mohamed A. Abdel-Aty",
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title = "A combined frequency-severity approach for the
analysis of rear-end crashes on urban arterials",
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journal = "Safety Science",
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year = "2011",
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volume = "49",
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number = "8-9",
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pages = "1156--1163",
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ISSN = "0925-7535",
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DOI = "doi:10.1016/j.ssci.2011.03.007",
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URL = "http://www.sciencedirect.com/science/article/B6VF9-52T1BCG-2/2/dbc605442a050a3d5a59a825025f0f40",
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keywords = "genetic algorithms, genetic programming, Arterial
safety, Injury severity, Crash frequency, Sensitivity
analysis",
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abstract = "Analysis of both the crash count and the severity of
injury are required to provide the complete picture of
the safety situation of any given roadway. The
randomness of crashes, the one-way dependency of injury
on crash occurrence and the difference in response
types have typically led researchers into developing
independent statistical models for crash count and
severity classification. The Genetic Programming (GP)
methodology adopts the concepts of evolutionary biology
such as crossover and mutation in effectively giving a
common heuristic approach to model the development for
the two different modelling objectives. The chosen GP
models have the highest hit rate for rear-end crash
classification problem and the least error for function
fitting (regression) problems. Higher Average Daily
Traffic (ADT) is more likely to result in more crashes.
Absence of on-street parking may result in diminished
severity of injuries resulting from crashes as they may
provide soft crash barrier in contrast to fixed road
side objects. Graphical presentation of the frequency
of crashes with varying input variables shed new light
on the results and its interpretation. Higher friction
coefficient of roadways result in reduced frequency of
crashes during the morning peak hours, with the trend
being reversed during the afternoon peak hours. Crash
counts have been observed to be at a maximum at a
surface width of 30 ft. Sensitivity analysis results
reflect that ADT is responsible for the largest
variation in crash counts on urban arterials.",
- }
Genetic Programming entries for
Abhishek Das
Mohamed A Abdel-Aty
Citations