Estimating the Effects of Operational Strategies on Travel-Time Reliability for Smart Mobility

Eil Kwon, Chongmyung Park, Avinash Sankarasetty, Kaushik Ayinala, Sejun Song

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

1 Scopus citations

Abstract

Smart mobility is an essential element in building smart cities. To realize connected and automated smart mobility as a service, the capability to efficiently estimate the travel-Time reliability measures responding to various operating conditions is of critical importance. This paper presents a travel-Time reliability estimation system, which is applied to determine the effects of the operational changes on the travel-Time reliability. The application results to the metro freeway network in Minnesota indicate the substantial improvements in travel-Time reliability after the changes were introduced, indicating the possibility of modeling the causal relationship between reliability and specific operational strategies.

Original languageEnglish (US)
Title of host publication2018 IEEE International Smart Cities Conference, ISC2 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538659595
DOIs
StatePublished - Jul 2 2018
Externally publishedYes
Event2018 IEEE International Smart Cities Conference, ISC2 2018 - Kansas City, United States
Duration: Sep 16 2018Sep 19 2018

Publication series

Name2018 IEEE International Smart Cities Conference, ISC2 2018

Conference

Conference2018 IEEE International Smart Cities Conference, ISC2 2018
Country/TerritoryUnited States
CityKansas City
Period9/16/189/19/18

Keywords

  • and transportation
  • reliability
  • Travel-Time

ASJC Scopus subject areas

  • Urban Studies
  • Computer Science Applications
  • Computer Networks and Communications

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