Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data

Conflicts in traffic stream have been detected by different safety performance indicators. This study aims to empirically investigate the differences between different indicators in detecting rear-end conflicts and assessing the risk in an uninterrupted flow. Micro-level data of a 24-hr traffic stre...

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Main Authors: Amir Reza Mamdoohi, Mohsen Fallah Zavareh, Christer Hydén, Trond Nordfjærn
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2014-04-01
Series:Promet (Zagreb)
Subjects:
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1273
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spelling doaj-674ffa69838d4f50b199e739eed45b702020-11-24T21:42:56ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692014-04-0126213914910.7307/ptt.v26i2.12731123Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector DataAmir Reza Mamdoohi0Mohsen Fallah Zavareh1Christer Hydén2Trond Nordfjærn3Tarbiat Modares UniversityTarbiat Modares UniversityLund Institute of TechnologyGediz University, Izmir, TurkeyConflicts in traffic stream have been detected by different safety performance indicators. This study aims to empirically investigate the differences between different indicators in detecting rear-end conflicts and assessing the risk in an uninterrupted flow. Micro-level data of a 24-hr traffic stream (including 6,657 vehicles) were captured using inductive loop detectors installed on a rural freeway section. Different indicators (<em>Time Headway</em> (H), <em>Time to Collision</em> (TTC), <em>Proportion of Stopping Distance</em> (PSD), <em>Deceleration Rate to Avoid Collision</em> (DRAC) and <em>Stopping Distance Index</em> (SDI)) were used to measure each car following event in a bivalent state (safe/unsafe). Unsafe events associated with each indicator were detected and common unsafe events characterized by different indicators were identified. Temporal distributions of rear-end collision risks associated with each indicator at 15-min intervals were also compared. Finally, the 15-min risk values based on different indicators were categorized and compared across three levels (Low, Medium and High). Data mining and statistical techniques showed that while SDI is the single most conservative indicator, DRAC and TTC detect a few risky events but very equal ones. In almost all conflicts associated with TTC, headway is still lower than the critical threshold. However, there exist considerable risky events based on headway which are still safe according to TTC. Comparison of PSD and TTC also declares that almost all conflicts associated with TTC are also risky according to PSD.http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1273safety performance indicatorheadwaytime to collisionstopping distanceconflictinductive loop detector
collection DOAJ
language English
format Article
sources DOAJ
author Amir Reza Mamdoohi
Mohsen Fallah Zavareh
Christer Hydén
Trond Nordfjærn
spellingShingle Amir Reza Mamdoohi
Mohsen Fallah Zavareh
Christer Hydén
Trond Nordfjærn
Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data
Promet (Zagreb)
safety performance indicator
headway
time to collision
stopping distance
conflict
inductive loop detector
author_facet Amir Reza Mamdoohi
Mohsen Fallah Zavareh
Christer Hydén
Trond Nordfjærn
author_sort Amir Reza Mamdoohi
title Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data
title_short Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data
title_full Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data
title_fullStr Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data
title_full_unstemmed Comparative Analysis of Safety Performance Indicators Based on Inductive Loop Detector Data
title_sort comparative analysis of safety performance indicators based on inductive loop detector data
publisher University of Zagreb, Faculty of Transport and Traffic Sciences
series Promet (Zagreb)
issn 0353-5320
1848-4069
publishDate 2014-04-01
description Conflicts in traffic stream have been detected by different safety performance indicators. This study aims to empirically investigate the differences between different indicators in detecting rear-end conflicts and assessing the risk in an uninterrupted flow. Micro-level data of a 24-hr traffic stream (including 6,657 vehicles) were captured using inductive loop detectors installed on a rural freeway section. Different indicators (<em>Time Headway</em> (H), <em>Time to Collision</em> (TTC), <em>Proportion of Stopping Distance</em> (PSD), <em>Deceleration Rate to Avoid Collision</em> (DRAC) and <em>Stopping Distance Index</em> (SDI)) were used to measure each car following event in a bivalent state (safe/unsafe). Unsafe events associated with each indicator were detected and common unsafe events characterized by different indicators were identified. Temporal distributions of rear-end collision risks associated with each indicator at 15-min intervals were also compared. Finally, the 15-min risk values based on different indicators were categorized and compared across three levels (Low, Medium and High). Data mining and statistical techniques showed that while SDI is the single most conservative indicator, DRAC and TTC detect a few risky events but very equal ones. In almost all conflicts associated with TTC, headway is still lower than the critical threshold. However, there exist considerable risky events based on headway which are still safe according to TTC. Comparison of PSD and TTC also declares that almost all conflicts associated with TTC are also risky according to PSD.
topic safety performance indicator
headway
time to collision
stopping distance
conflict
inductive loop detector
url http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1273
work_keys_str_mv AT amirrezamamdoohi comparativeanalysisofsafetyperformanceindicatorsbasedoninductiveloopdetectordata
AT mohsenfallahzavareh comparativeanalysisofsafetyperformanceindicatorsbasedoninductiveloopdetectordata
AT christerhyden comparativeanalysisofsafetyperformanceindicatorsbasedoninductiveloopdetectordata
AT trondnordfjærn comparativeanalysisofsafetyperformanceindicatorsbasedoninductiveloopdetectordata
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