Monitoring travel time reliability from the cloud

Hao Lei, Tao Xing, Jeffrey Taylor, Xuesong Zhou

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Under the existing loosely distributed sensor environment with heterogeneous data sources, transportation planning and management agencies have found a critical need for the efficient storage, processing, and extraction of network-level information. The emerging practice of cloud computing provides a revolutionary solution for network-level information needs. This paper introduces MapReduce, a distributed computing framework for the design of data-intensive software systems that can manage and manipulate a large volume of data. With a focus on a traffic-oriented, data-intensive application, the researchers designed and implemented a system for the provision of traveler information based on travel time reliability. The system leverages the unified data storage and computing platform provided by the cloud computing architecture.

Original languageEnglish (US)
Pages (from-to)35-43
Number of pages9
JournalTransportation Research Record
Issue number2291
DOIs
StatePublished - Dec 1 2012
Externally publishedYes

Fingerprint

Travel time
Cloud computing
Monitoring
Distributed computer systems
Data storage equipment
Planning
Sensors
Processing

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this

Monitoring travel time reliability from the cloud. / Lei, Hao; Xing, Tao; Taylor, Jeffrey; Zhou, Xuesong.

In: Transportation Research Record, No. 2291, 01.12.2012, p. 35-43.

Research output: Contribution to journalArticle

Lei, Hao ; Xing, Tao ; Taylor, Jeffrey ; Zhou, Xuesong. / Monitoring travel time reliability from the cloud. In: Transportation Research Record. 2012 ; No. 2291. pp. 35-43.
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