Feasibility of traffic simulation for decision support in real-time regional traffic management

Ryan Fries, Imran Inamdar, Mashrur Chowdhury, Kevin Taaffe, Kaan Ozbay

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

State-of-the-art microscopic traffic simulation programs offer detailed modeling capabilities of vehicle interactions based on drivers, pedestrians, and highway elements. Consequently, these tools can help regional traffic management personnel make operational decisions by predicting future traffic conditions that result from incidents. This research sought to determine the effectiveness and timeliness of using a detailed microsimulation suite called Paramics to support personnel in a regional traffic management center in real-time decision making. Two sites in rural, highcrash areas of South Carolina were examined to see whether Paramics could provide decision information as quickly as desired by regional traffic management centers. Only certain combinations of incident durations and simulation accuracy satisfied the decision-time constraints for realtime decision support Increasing the computational resources or reducing the size of the traffic network can provide decision support for longer incidents at higher accuracies and further allow microscopic traffic simulation to aid regional traffic management personnel in real-time decision making.

Original languageEnglish (US)
Title of host publicationTraffic Signal Systems and Regional Transportation Systems Management
Pages169-176
Number of pages8
Edition2035
DOIs
StatePublished - 2007

Publication series

NameTransportation Research Record
Number2035
ISSN (Print)0361-1981

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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    Fries, R., Inamdar, I., Chowdhury, M., Taaffe, K., & Ozbay, K. (2007). Feasibility of traffic simulation for decision support in real-time regional traffic management. In Traffic Signal Systems and Regional Transportation Systems Management (2035 ed., pp. 169-176). (Transportation Research Record; No. 2035). https://doi.org/10.3141/2035-19