Chapter
Jun 29, 2016
Locating Traffic Information Sources in Urban Areas
Authors: Hang Gong, Chengcheng Wang, Yingchun Qu, Kun He, and Pu Wang [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
Collecting and distributing traffic information is vital to intelligent transportation systems (ITS). Origin destination (OD) data and road geographical information systems (GIS) data were combined to locate potential providers of traffic information for drivers in the city of San Francisco. There were very few major providers of traffic information for most traffic zones, suggesting that locating the sources of traffic information can considerably reduce the volume of information transmitted for a future internet of vehicles. The Gini coefficient was used to quantify the contribution of heterogeneous information providers in different traffic zones. This work could offer useful support for a future internet of vehicles, in which a huge amount of traffic information would need to be transmitted through V2V and V2I communications.
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Published In
CICTP 2016
Pages: 141 - 151
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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Authors
Affiliations
Hang Gong
School of Traffic and Transportation Engineering, Central South Univ., Changsha, Hunan, 410000, China.
Chengcheng Wang
School of Traffic and Transportation Engineering, Central South Univ., Changsha, Hunan, 410000, China.
Yingchun Qu
School of Traffic and Transportation Engineering, Central South Univ., Changsha, Hunan, 410000, China.
Kun He
School of Traffic and Transportation Engineering, Central South Univ., Changsha, Hunan, 410000, China.
School of Traffic and Transportation Engineering, Central South Univ., Changsha, Hunan, 410000, China. Email: [email protected]
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