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Evaluating ITS strategies for real-time freeway safety improvement

  • Vikash V. Gayah
  • , Cristina Dos Santos
  • , Mohamed Abdel-Aty
  • , Albinder Dhindsa
  • , Jeremy Dilmore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traffic crashes on urban freeways account for thousands of lives lost and billions of dollars wasted every year in America. Previous research has shown that certain freeway conditions are more susceptible to crashes occurring than others. These conditions are said to have a high crash potential. The purpose of this research is to test the effects of Intelligent Transportation System (ITS) strategies on reducing the potential for crashes to occur on a major urban freeway. In this research, Interstate-4 in Orlando, Florida was simulated using the PARAMICS micro-simulation software package. The crash potential was then determined through models that were created in the previous research conducted by Abdel-Aty et al (2005) using logistic regression to associate traffic characteristics with the risk of a crash occurring. Several mitigation strategies were used while simulating the freeway and the crash potential was determined for each technique. The before (pre-ITS) and after case were then compared to examine the effects of the crash mitigation methods. The results of this research show that Variable Speed Limits (VSL) have a positive effect on lowering the crash potential during high-speed conditions. VSL does not affect the low-speed case but if ramp metering is instead implemented the potential for a significant reduction in the crash potential is realized. However, there are still more strategies that need to be tested including route diversion, lane change restrictions, and feedback controlled ramp metering.

Original languageEnglish (US)
Title of host publicationProceedings of ITSC 2006
Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1114-1119
Number of pages6
ISBN (Print)1424400945, 9781424400942
DOIs
StatePublished - 2006
Event2006 IEEE Intelligent Transportation Systems Conference, ITSC 2006 - Toronto, ON, Canada
Duration: Sep 17 2006Sep 20 2006

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference2006 IEEE Intelligent Transportation Systems Conference, ITSC 2006
Country/TerritoryCanada
CityToronto, ON
Period9/17/069/20/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

  • General Engineering

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