User-driven cloud transportation system for smart driving

Meng Ma, Yu Huang, Chao Hsien Chu, Ping Wang

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

17 Scopus citations

Abstract

Intelligent transportation systems (ITS) have emerged as an efficient and effective way of alleviating the traffic congestion and improving the performance of transportation systems. Key challenges of ITS in recent years include the pervasive data collection, data security, privacy preserving, large volume data processing, and intelligent analytics. These challenges lead to a revolution in ITS development by leveraging the crowdsourcing scheme and cloud computing architecture. In this paper, we propose a user-driven Cloud Transportation system (CTS) which employs a scheme of user-driven crowdsourcing to collect user data for traffic model construction and congestion prediction including data collection, filtering, modeling, intelligent computation and publish. We describe in details the application scenario, system architecture, and core CTS services model. To verify the feasibility of our approach, we have developed a prototype system which elaborated the cloud architecture and other implementation details. This paper aims to inspire further research of user-driven CTS on intelligent data processing model for smarter utilization of transportation infrastructure.

Original languageEnglish (US)
Title of host publicationCloudCom 2012 - Proceedings
Subtitle of host publication2012 4th IEEE International Conference on Cloud Computing Technology and Science
Pages658-665
Number of pages8
DOIs
StatePublished - Dec 1 2012
Event2012 4th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2012 - Taipei, Taiwan, Province of China
Duration: Dec 3 2012Dec 6 2012

Publication series

NameCloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science

Other

Other2012 4th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2012
Country/TerritoryTaiwan, Province of China
CityTaipei
Period12/3/1212/6/12

All Science Journal Classification (ASJC) codes

  • Software

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