Dynamically determining the toll plaza capacity by monitoring approaching traffic conditions in real-time

Cheolsun Kim, Dong Kyu Kim, Seung Young Kho, Seungmo Kang, Koohong Chung

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This study presents an analytical method for dynamically adjusting toll plaza capacity to cope with a sudden shift in demand. The proposed method uses a proxy measure developed using discharge rate observed at toll plazas and segment travel times measured by probe vehicles. The effectiveness of the method has been evaluated by analyzing the empirical data obtained from toll plazas in the San Francisco Bay Area before and after toll plaza capacity changed. Findings indicate that the estimated number of vehicles stored near the upstream of toll plaza based on discharge rate and their travel times can be used as a proxy measure for predicting the effect of changes in toll plaza capacity. The proposed model can aid government agencies to dynamically adjust the toll plaza capacity in response to a sudden shift in demand due to various situations of failure.

Original languageEnglish
Article number87
JournalApplied Sciences (Switzerland)
Volume6
Issue number3
DOIs
Publication statusPublished - 2016

Keywords

  • Analytical model
  • Proxy measure
  • Toll plaza capacity
  • Traffic conditions

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Process Chemistry and Technology
  • Computer Science Applications
  • Engineering(all)
  • Materials Science(all)
  • Instrumentation

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