Research on Personalized Indoor Routing Algorithm

Autor: Weijun Bian, Yucheng Guo, Qizhi Qiu
Rok vydání: 2014
Předmět:
Zdroj: 2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science.
Popis: As the mature GPS positioning technology cannot work well in indoor environment, there is no mature indoor navigation system for civil use. Besides indoor maps and indoor positioning technology, indoor routing algorithm is an important part of indoor navigation technology. This paper first discusses the problem of cross-storey in buildings and gives a solution. Unlike outdoor routing, shortest path is usually not the best path indoors, a personalized path considering user preference and interest can be better. To achieve personalized routing, this paper comes up with a way to model and acquire user preference. On this basis, this paper improves traditional A* algorithm by considering user preference and then gives an example to show the advantage of the personalized A* algorithm. The results show that the improved algorithm can find a better path by considering path length and user preference synthetically.
Databáze: OpenAIRE