On personalized and sequenced route planning
文献类型：期刊论文
| 作者 | Dai, J ; Liu, CF ; Xu, JJ ; Ding, ZM |
| 刊名 | WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
 |
| 出版日期 | 2016 |
| 卷号 | 19期号:4页码:679-705 |
| 关键词 | Spatial databases Online route planning |
| ISSN号 | 1386-145X |
| 中文摘要 | Online trip planning is a popular service that has facilitated a lot of people greatly. However, little attention has been paid to personalized trip planning which is even more useful. In this paper, we define a highly expressive personalized route planning query-the Personalized and Sequenced Route (PSR) Query which considers both personalization and sequenced constraint, and propose a novel framework to deal with the query. The framework consists of three phases: guessing, crossover and refinement. The guessing phase strives to obtain one high quality route as the baseline to bound the search space into a circular region. The crossover phase heuristically improve the quality of multiple guessed routes via a modified genetic algorithm, which further narrows the radius of the search space. The refinement phase backwardly examines each candidate point and partial route to rule out impossible ones. The combination of these phases can efficiently and effectively narrow our search space via a few iterations. In the experiment part, we firstly show our evaluation results of each phase separately, proving the effectiveness of each phase. Then, we present the evaluation results of the combination of them, which offers insight into the merits of the proposed framework. |
| 英文摘要 | Online trip planning is a popular service that has facilitated a lot of people greatly. However, little attention has been paid to personalized trip planning which is even more useful. In this paper, we define a highly expressive personalized route planning query-the Personalized and Sequenced Route (PSR) Query which considers both personalization and sequenced constraint, and propose a novel framework to deal with the query. The framework consists of three phases: guessing, crossover and refinement. The guessing phase strives to obtain one high quality route as the baseline to bound the search space into a circular region. The crossover phase heuristically improve the quality of multiple guessed routes via a modified genetic algorithm, which further narrows the radius of the search space. The refinement phase backwardly examines each candidate point and partial route to rule out impossible ones. The combination of these phases can efficiently and effectively narrow our search space via a few iterations. In the experiment part, we firstly show our evaluation results of each phase separately, proving the effectiveness of each phase. Then, we present the evaluation results of the combination of them, which offers insight into the merits of the proposed framework. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000374968300007 |
| 公开日期 | 2016-12-09 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17319]  |
| 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 | Dai, J,Liu, CF,Xu, JJ,et al. On personalized and sequenced route planning[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2016,19(4):679-705. |
| APA | Dai, J,Liu, CF,Xu, JJ,&Ding, ZM.(2016).On personalized and sequenced route planning.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,19(4),679-705. |
| MLA | Dai, J,et al."On personalized and sequenced route planning".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 19.4(2016):679-705. |
入库方式： OAI收割
来源：软件研究所
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