Efficient route search on hierarchical dynamic road networks
文献类型：期刊论文
| 作者 | Xu, Jiajie (1) ; Gao, Yunjun (2) ; Liu, Chengfei (3) ; Zhao, Lei (1) ; Ding, Zhiming (4) |
| 刊名 | Distributed and Parallel Databases
 |
| 出版日期 | 2014 |
| ISSN号 | 9268782 |
| 通讯作者 | Gao, Y.(gaoyj@zju.edu.cn) |
| 中文摘要 | The widespread use of GPS navigations and trip planning on web has aroused considerable interests in fast and scalable path query processing. Existing research has mostly focused on static route optimization where the traffic network is assumed to be stable. Nevertheless, in most cases, route planning is in the presence of frequent updates to the traffic graph due to the dynamic nature of traffic network, and such updates always greatly affect the performance of route planning. Most existing methods, however, cannot efficiently support traffic aware route planning. In this paper, two efficient strategies are proposed to handle this problem. We analyze the traffic condition on the road network and explore spatio-temporal knowledge to guide effective route planning. In particular, several effective techniques are employed to avoid both unnecessary calculations on huge graph and excessive re-calculations caused by traffic condition updates. A comprehensive experiment is also conducted to evaluate the performance of our proposed strategies. © 2014 Springer Science+Business Media New York. |
| 英文摘要 | The widespread use of GPS navigations and trip planning on web has aroused considerable interests in fast and scalable path query processing. Existing research has mostly focused on static route optimization where the traffic network is assumed to be stable. Nevertheless, in most cases, route planning is in the presence of frequent updates to the traffic graph due to the dynamic nature of traffic network, and such updates always greatly affect the performance of route planning. Most existing methods, however, cannot efficiently support traffic aware route planning. In this paper, two efficient strategies are proposed to handle this problem. We analyze the traffic condition on the road network and explore spatio-temporal knowledge to guide effective route planning. In particular, several effective techniques are employed to avoid both unnecessary calculations on huge graph and excessive re-calculations caused by traffic condition updates. A comprehensive experiment is also conducted to evaluate the performance of our proposed strategies. © 2014 Springer Science+Business Media New York. |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000353468500005 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17019]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Xu, Jiajie ,Gao, Yunjun ,Liu, Chengfei ,et al. Efficient route search on hierarchical dynamic road networks[J]. Distributed and Parallel Databases,2014. |
| APA | Xu, Jiajie ,Gao, Yunjun ,Liu, Chengfei ,Zhao, Lei ,&Ding, Zhiming .(2014).Efficient route search on hierarchical dynamic road networks.Distributed and Parallel Databases. |
| MLA | Xu, Jiajie ,et al."Efficient route search on hierarchical dynamic road networks".Distributed and Parallel Databases (2014). |
入库方式： OAI收割
来源：软件研究所
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