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) |
|---|---|
| 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 - Jul 2 2018 |
| Externally published | Yes |
| 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 |
|---|
Conference
| Conference | 2018 IEEE International Smart Cities Conference, ISC2 2018 |
|---|---|
| Country/Territory | United States |
| City | Kansas City |
| Period | 9/16/18 → 9/19/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- and transportation
- reliability
- Travel-Time
ASJC Scopus subject areas
- Urban Studies
- Computer Science Applications
- Computer Networks and Communications
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