Author:

Keywords:

Personalised Electronic Tourist Guide, Orienteering Problem, CIB_PUBLIC

Abstract:

When tourists are at a destination, they typically search for information in the Local Tourist Organizations. There, the staff categorizes tourists’ profile and restrictions. Combining this information with their up-to-date knowledge about the local attractions, weather and public transportation, they suggest a personalised route for the tourist agenda. This paper presents an intelligent routing system for a Personalised Electronic Tourist Guide to fulfil the same task. This system improves the automatic route creation functionality of existing PETs to solve better the needs of tourists in several aspects: i) it includes public transportation, ii) it takes varying travelling times into account, adapting to real circumstances as rush-hours, iii) it calculates routes in real time to react to unexpected events, iv) it applies last generation heuristics from Operations Research to create routes efficiently, even in destinations with a large number of point of interests and a dense public transportation network.