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2008 Fourth International Conference on Networked Computing and Advanced Information Management
Modeling and Application of Urban Dynamic Region Traffic Model Based on Information Fusion
September 02-September 04
ISBN: 978-0-7695-3322-3
| ASCII Text | x | ||
| Ye Zhang, Limin Jia, Guoqiang Cai, Min Guo, Xiaoqing Cheng, "Modeling and Application of Urban Dynamic Region Traffic Model Based on Information Fusion," Networked Computing and Advanced Information Management, International Conference on, vol. 2, pp. 535-539, 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/NCM.2008.115, author = {Ye Zhang and Limin Jia and Guoqiang Cai and Min Guo and Xiaoqing Cheng}, title = {Modeling and Application of Urban Dynamic Region Traffic Model Based on Information Fusion}, journal ={Networked Computing and Advanced Information Management, International Conference on}, volume = {2}, year = {2008}, isbn = {978-0-7695-3322-3}, pages = {535-539}, doi = {http://doi.ieeecomputersociety.org/10.1109/NCM.2008.115}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Networked Computing and Advanced Information Management, International Conference on TI - Modeling and Application of Urban Dynamic Region Traffic Model Based on Information Fusion SN - 978-0-7695-3322-3 SP535 EP539 A1 - Ye Zhang, A1 - Limin Jia, A1 - Guoqiang Cai, A1 - Min Guo, A1 - Xiaoqing Cheng, PY - 2008 KW - region traffic KW - dynamic model KW - information fusion KW - traffic situation VL - 2 JA - Networked Computing and Advanced Information Management, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/NCM.2008.115
Existing urban transportation network models or travel choice models focus on network application. While, region traffic situation modeling are becoming crucial problem for urban traffic management and traffic flow control. A novel dynamic region traffic model is proposed in this paper. The region traffic mathematical model is classified as macroscopic model, mesoscopic model and microscopic model. Macroscopic model represents region traffic state, which is appropriate for large area analysis. Mesoscopic model is capable for the corresponding transportation network problem. Microscopic model is suit for vehicle cluster behavior. Considering probability and trends, the information fusion techniques are used to process historical data. The dynamic region traffic model can be fit for the long term and short term traffic situation estimate. Application results show these contributions.
Index Terms:
region traffic, dynamic model, information fusion, traffic situation
Citation:
Ye Zhang, Limin Jia, Guoqiang Cai, Min Guo, Xiaoqing Cheng, "Modeling and Application of Urban Dynamic Region Traffic Model Based on Information Fusion," ncm, vol. 2, pp.535-539, 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2008
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