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 language | English (US) |
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Title of host publication | 2018 IEEE International Smart Cities Conference, ISC2 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538659595 |
DOIs | |
State | Published - Feb 28 2019 |
Event | 2018 IEEE International Smart Cities Conference, ISC2 2018 - Kansas City, United States Duration: Sep 16 2018 → Sep 19 2018 |
Publication series
Name | 2018 IEEE International Smart Cities Conference, ISC2 2018 |
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Conference
Conference | 2018 IEEE International Smart Cities Conference, ISC2 2018 |
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Country/Territory | United States |
City | Kansas City |
Period | 9/16/18 → 9/19/18 |
Bibliographical note
Funding Information:VI. ACKNOWLEDGEMENT This research was financially supported by the Minnesota Department of Transportation.
Publisher Copyright:
© 2018 IEEE.
Keywords
- Travel-Time
- and transportation
- reliability