Crashes and effective safety factors within interchanges and ramps on urban freeways and highways

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The aim of this study is to analyze effective factors crash in safety that occurs in influence areas of freeway ramps. The data for this research has been collected from freeway interchanges in central of an ABC highway (to protect the actual company name). The collected data of five crashes which had occurred in black spot interchange ramps was analyzed using SPSS statistical package version 18.0 (USA) and Microsoft office Excel 2007. According to AASHTO, ramp design speeds should approximate the low volume running speeds on intersecting highways. Where this design speed is not practical, ramps should not be designed at less than 50 percent of the design guideline for freeway and expressway ramps, where only those values of highway design speed above 80 km/h apply. Chi-Square Test was used to statically analyze the distribution of crashes according to their causes. However, chi square value of 135.75 (α<0.01) has indicated that a high percentage (79.17%) of crashes which were examined, were caused by over speeding followed by, loss of control, sleepy driver, bumper to bumper, loss of wheel, bad driving behaviour, hit and run with percentages, 8.33, 4.17, 4.17, 4.17, 2.08, 2.08 respectively. The result of the crash data analysis showed 50 types of accidents. A large percentage of crashes were caused by over speeding, in term 76% of severity with damage only, for type of collision 94% of crashes out of control. About 88.60% of crashes happened at daytime and 57.80% in fine weather conditions. It has been noticed that the distribution of crash among different condition of weather are equally shared, however, it was found out that weather, statistically, is not a strong factor in crashes. Ramps are scheduled for auditing based on descending road speed limits.

Original languageEnglish
Pages (from-to)397-404
Number of pages8
JournalAustralian Journal of Basic and Applied Sciences
Volume5
Issue number7
Publication statusPublished - Jul 2011

Fingerprint

Safety factor
Highway systems
Interchanges
Highway engineering
Wheels
Accidents
Industry

Keywords

  • Collision
  • Factor crashes and Safety
  • Interchange and ramp design
  • Severity
  • Speed

ASJC Scopus subject areas

  • General

Cite this

@article{92a6f599a7734cb9944a2330bbb0127c,
title = "Crashes and effective safety factors within interchanges and ramps on urban freeways and highways",
abstract = "The aim of this study is to analyze effective factors crash in safety that occurs in influence areas of freeway ramps. The data for this research has been collected from freeway interchanges in central of an ABC highway (to protect the actual company name). The collected data of five crashes which had occurred in black spot interchange ramps was analyzed using SPSS statistical package version 18.0 (USA) and Microsoft office Excel 2007. According to AASHTO, ramp design speeds should approximate the low volume running speeds on intersecting highways. Where this design speed is not practical, ramps should not be designed at less than 50 percent of the design guideline for freeway and expressway ramps, where only those values of highway design speed above 80 km/h apply. Chi-Square Test was used to statically analyze the distribution of crashes according to their causes. However, chi square value of 135.75 (α<0.01) has indicated that a high percentage (79.17{\%}) of crashes which were examined, were caused by over speeding followed by, loss of control, sleepy driver, bumper to bumper, loss of wheel, bad driving behaviour, hit and run with percentages, 8.33, 4.17, 4.17, 4.17, 2.08, 2.08 respectively. The result of the crash data analysis showed 50 types of accidents. A large percentage of crashes were caused by over speeding, in term 76{\%} of severity with damage only, for type of collision 94{\%} of crashes out of control. About 88.60{\%} of crashes happened at daytime and 57.80{\%} in fine weather conditions. It has been noticed that the distribution of crash among different condition of weather are equally shared, however, it was found out that weather, statistically, is not a strong factor in crashes. Ramps are scheduled for auditing based on descending road speed limits.",
keywords = "Collision, Factor crashes and Safety, Interchange and ramp design, Severity, Speed",
author = "Amiruddin Ismail and Ali Aram and Rahim Aminzadeh and {O.K. Rahmat}, {Riza Atiq Abdullah}",
year = "2011",
month = "7",
language = "English",
volume = "5",
pages = "397--404",
journal = "Australian Journal of Basic and Applied Sciences",
issn = "1991-8178",
publisher = "INSInet Publications",
number = "7",

}

TY - JOUR

T1 - Crashes and effective safety factors within interchanges and ramps on urban freeways and highways

AU - Ismail, Amiruddin

AU - Aram, Ali

AU - Aminzadeh, Rahim

AU - O.K. Rahmat, Riza Atiq Abdullah

PY - 2011/7

Y1 - 2011/7

N2 - The aim of this study is to analyze effective factors crash in safety that occurs in influence areas of freeway ramps. The data for this research has been collected from freeway interchanges in central of an ABC highway (to protect the actual company name). The collected data of five crashes which had occurred in black spot interchange ramps was analyzed using SPSS statistical package version 18.0 (USA) and Microsoft office Excel 2007. According to AASHTO, ramp design speeds should approximate the low volume running speeds on intersecting highways. Where this design speed is not practical, ramps should not be designed at less than 50 percent of the design guideline for freeway and expressway ramps, where only those values of highway design speed above 80 km/h apply. Chi-Square Test was used to statically analyze the distribution of crashes according to their causes. However, chi square value of 135.75 (α<0.01) has indicated that a high percentage (79.17%) of crashes which were examined, were caused by over speeding followed by, loss of control, sleepy driver, bumper to bumper, loss of wheel, bad driving behaviour, hit and run with percentages, 8.33, 4.17, 4.17, 4.17, 2.08, 2.08 respectively. The result of the crash data analysis showed 50 types of accidents. A large percentage of crashes were caused by over speeding, in term 76% of severity with damage only, for type of collision 94% of crashes out of control. About 88.60% of crashes happened at daytime and 57.80% in fine weather conditions. It has been noticed that the distribution of crash among different condition of weather are equally shared, however, it was found out that weather, statistically, is not a strong factor in crashes. Ramps are scheduled for auditing based on descending road speed limits.

AB - The aim of this study is to analyze effective factors crash in safety that occurs in influence areas of freeway ramps. The data for this research has been collected from freeway interchanges in central of an ABC highway (to protect the actual company name). The collected data of five crashes which had occurred in black spot interchange ramps was analyzed using SPSS statistical package version 18.0 (USA) and Microsoft office Excel 2007. According to AASHTO, ramp design speeds should approximate the low volume running speeds on intersecting highways. Where this design speed is not practical, ramps should not be designed at less than 50 percent of the design guideline for freeway and expressway ramps, where only those values of highway design speed above 80 km/h apply. Chi-Square Test was used to statically analyze the distribution of crashes according to their causes. However, chi square value of 135.75 (α<0.01) has indicated that a high percentage (79.17%) of crashes which were examined, were caused by over speeding followed by, loss of control, sleepy driver, bumper to bumper, loss of wheel, bad driving behaviour, hit and run with percentages, 8.33, 4.17, 4.17, 4.17, 2.08, 2.08 respectively. The result of the crash data analysis showed 50 types of accidents. A large percentage of crashes were caused by over speeding, in term 76% of severity with damage only, for type of collision 94% of crashes out of control. About 88.60% of crashes happened at daytime and 57.80% in fine weather conditions. It has been noticed that the distribution of crash among different condition of weather are equally shared, however, it was found out that weather, statistically, is not a strong factor in crashes. Ramps are scheduled for auditing based on descending road speed limits.

KW - Collision

KW - Factor crashes and Safety

KW - Interchange and ramp design

KW - Severity

KW - Speed

UR - http://www.scopus.com/inward/record.url?scp=82655165735&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82655165735&partnerID=8YFLogxK

M3 - Article

VL - 5

SP - 397

EP - 404

JO - Australian Journal of Basic and Applied Sciences

JF - Australian Journal of Basic and Applied Sciences

SN - 1991-8178

IS - 7

ER -