Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity

2021 ◽  
Author(s):  
Litao Zhu ◽  
Jie Shen ◽  
Jingyi Zhou ◽  
Zdeněk Stachoň ◽  
Shuai Hong ◽  
...  
2018 ◽  
Author(s):  
Menghua Duan ◽  
Lin Chen ◽  
Yongchang Feng ◽  
Junnosuke Okajima ◽  
Atsuki Komiya

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
M.A. Boyarchuk ◽  
I.G. Zhurkin ◽  
V.B. Nepoklonov

Author(s):  
A.E. Semenov

The method of pedestrian navigation in the cities illustrated by the example of Saint-Petersburg was investigated. The factors influencing people when they choose a route for their walk were determined. Based on acquired factors corresponding data was collected and used to develop model determining attractiveness of a street in the city using Random Forest algorithm. The results obtained shows that routes provided by the method are 14% more attractive and just 6% longer compared with the shortest ones.


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