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- Title
基于众源地理数据的个性化路线服务框架及应用实验.
- Authors
吴 涛; 汪 璐; 秦建新; 向隆刚; 曾芷萱
- Abstract
With the vigorous development of mobile communication and LBS, many crowdsourcing spatio-temporal big data that can describe individual behavior have emerged, providing new perspectives for sensing the group spatio-temporal behavior patterns and exploring intelligent travel. This paper attempts to establish the connection between individual willingness and the spatial and temporal environment by an improved HMM-based algorithm in sketching customized travel routes, incorporating public preferences and personalized customization involving scheme generation, POIs recommendation, and history track support. This paper selects the Yuelu District of Changsha as the study area, obtains the actual road network data and relevant POIs as the experimental data. The experimental results show that the travel route obtained from this framework is more personalized and can provide users with the optimal route to meet user needs quickly.
- Subjects
CROWDSOURCING; CUSTOMIZATION; BIG data; ALGORITHMS; RECOMMENDER systems
- Publication
Geography & Geographic Information Science, 2022, Vol 38, Issue 1, p51
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672--0504.2022.01.008