Sunshine-Based Trajectory Simplification

Jingyu Ru, Shuai Wang, Zixi Jia, Yating Wang, Tian He, Chengdong Wu

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Sunshine-based trajectory analysis plays a significant impact on comprehensive scenarios, including driving safety and routing planning for mobile solar collection. To the best of our knowledge, however, a little work analyzes the impact of sunshine on mobile objects on different trajectories. This paper investigates the relationship between sunshine and the trajectories of mobile objects. We introduce a sunshine orientation model to integrate sunshine information with trajectories. A sunshine-based trajectory simplification model is proposed to remove redundant points in trajectories, which carry a little sunshine-related information. The sunshine-based trajectory simplification model is indeed versatile. We apply this model to help users efficiently query the sunshine information of their trips. Our design is evaluated with extensive simulations based on three-month general transit feed specification data from August to October in 2017 in five USA cities, including Washington, DC, USA, and Minneapolis. Furthermore, we develop a sunshine query system for mobile scenarios by embedding our sunshine-based trajectory simplification model and conduct a field study to show the validity and efficiency of this model. The evaluation results show that our design reduces 87.4% position points in trajectories while only sacrificing 9.6% of sunshine information in the field tests.

Original languageEnglish (US)
Article number8673967
Pages (from-to)47781-47793
Number of pages13
JournalIEEE Access
Volume7
DOIs
StatePublished - 2019

Keywords

  • Sunshine-based trajectory analysis
  • trajectory simplification

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    Ru, J., Wang, S., Jia, Z., Wang, Y., He, T., & Wu, C. (2019). Sunshine-Based Trajectory Simplification. IEEE Access, 7, 47781-47793. [8673967]. https://doi.org/10.1109/ACCESS.2019.2907312