Intelligent transportation spaces: Vehicles, traffic, communications, and beyond

Fengzhong Qu, Fei Yue Wang, Liuqing Yang

Research output: Contribution to journalArticlepeer-review

179 Scopus citations


Recent years have witnessed numerous technical breakthroughs in electronics, computing, sensing, robotics, control, signal processing, and communications. These have significantly advanced the state of applications of intelligent transportation systems. More recently, as one leading effort toward the cyber-physical-social system, the concept of intelligent transportation spaces was proposed to further improve the vehicles, traffic, and transportation safety, efficiency and sustainability. ITSp integrate not only various ITS modules, but also pedestrians, vehicles, roadside infrastructures, traffic management centers, sensors, and satellites. With distributed and pervasive intelligence, ITSp clearly impose some stringent requirements on the information exchange among all entities within the ITSp, in terms of the information availability, reliability, fidelity, and timeliness. These requirements, together with the high mobility of vehicles and the highly variable network topology, make the communications and networking for ITSp very challenging. This article will introduce the concept of ITSp and analyze possible communication technology candidates for ITSp. Further discussions will also be provided at the end of this article.

Original languageEnglish (US)
Article number5621980
Pages (from-to)136-142
Number of pages7
JournalIEEE Communications Magazine
Issue number11
StatePublished - Nov 2010
Externally publishedYes

Bibliographical note

Funding Information:
This article is in part based on the keynote addresses made by Fei- Yue Wang at the 2nd IEEE International Con ference on Wireless Access in Vehicular Environ ments (WAVE 2009), Shanghai, China, Decem ber 21, 2009, and the NSF Workshop on The Future of ITS and Its Implication with regard to Mobility and Sustainability, Columbus, OH, May 5, 2010. This work is in part supported by grants NNSFC 70890084 and 90920305, MOST2006CB705500, NSF 08072291, and AFOSR FA9550-09-1- 0269.


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