by sachithra udayangani
*trip planning is depends on many factors, such as
• travel
duration,
• travel
cost,
• visiting
time,
•
tourist’s age
• physical
condition
•
individual interests etc.
*first trial --- deal with the following preferences of
users
• travel
location
• travel
duration (e.g., two-day trip or five-day trip)
• visiting
time (e.g, summer, winter, March, and October)
• destination
preference (e.g., prefer historic or prefer scenery sites)
*Trip Planning - propose a novel Travel Route Suggestion
(TRS) Algorithm to suggest customized
trip plans among
destinations by considering travel
location, travel duration, visiting time, and other preferences of users as inputs.
a customized destination graph is dynamically constructed
according to user’s preferences, in which the nodes of the graph represent
destinations.
the route planning problem is formulated as a graph analysis
problem, and then solved by a dynamic programming algorithm. As a result, the
proposed system can provide a customized travel plan to a tourist, which not
only suggests multiple destination sequences, but also provides detailed travel
information for each destination including representative travel paths and stay
times within the destination. Moreover, the system can also automatically
update travel plans in real time to respond to tourists’
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