Research on Intelligent Scale Pedestrian Navigation Map Based on Rough Set Rules. (February 2019)
- Record Type:
- Journal Article
- Title:
- Research on Intelligent Scale Pedestrian Navigation Map Based on Rough Set Rules. (February 2019)
- Main Title:
- Research on Intelligent Scale Pedestrian Navigation Map Based on Rough Set Rules
- Authors:
- Yan, Chaode
Liu, Xiao
Guo, Jinxi
Li, Aimin
Li, Ziwei
Yuan, Guanjie
Ye, Yongchao - Abstract:
- Abstract: With the popularity of smart phones, pedestrian navigation maps based on smart phones are widely used, but the readability of pedestrian navigation map is not satisfactory. In this paper, an intelligent scale pedestrian navigation map model based rules is proposed. The realization process of intelligent scale navigation map includes the measurement of the spatial distribution of road network in adjacent space and peripheral space, the construction of map scale decision table based on rough set, the extraction of rules and the matching of rules. Finally, the experimental results prove that the intelligent scale navigation map based on rules is feasible, and the effect is better than that of static scale navigation map.
- Is Part Of:
- IOP conference series. Volume 234(2019)
- Journal:
- IOP conference series
- Issue:
- Volume 234(2019)
- Issue Display:
- Volume 234, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 234
- Issue:
- 2019
- Issue Sort Value:
- 2019-0234-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-02
- Subjects:
- Earth sciences -- Periodicals
Environmental sciences -- Congresses
Environmental sciences -- Periodicals
550.5 - Journal URLs:
- http://iopscience.iop.org/1755-1315 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1755-1315/234/1/012017 ↗
- Languages:
- English
- ISSNs:
- 1755-1307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4565.243000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9993.xml