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|Title: ||Dynamic shortest path with probability|
|Authors: ||Fong, Ken Chi Kit|
|Department: ||Department of Computer Science|
|Issue Date: ||2012|
|Supervisor: ||Supervisor: Dr. Li, Minming; First Reader: Dr. Bresson, Xavier; Second Reader: Prof. Wang, Lusheng|
|Abstract: ||Shortest path algorithm is necessary when people get lost or do not know how to reach their
destinations. They can rely on the shortest path application itself and search for the best route to
guide them the way to reach the destination. In case people are in hurry and they have no idea of
how to reach the destination, then shortest path is the useful algorithm to help them solving this
problem. Unfortunately, the classical shortest path algorithm will only calculate the shortest path
base on the reference weight value. So within the rush hours, the shortest path data may not be
Imagine that within the rush hours, if people are wake up late, they may miss their regular bus to
their office. In this case, they do not have any idea how to reach to their offices on time as usual.
So should they wait for the next bus or change to the other transportation?
In this question people want to know two answers for this special case:
(1) What is the best route to reach to the office?
(2) What is the probability of arriving in accurate when people change to other transportation?
Hence, if there has a system that can compute the shortest path base on the statistic information
of the traffic during the rush hours, and provide the suggested route with the probability to reach
the office within the time constraint will definitely help people to solve the problem.
This project is aims to develop the algorithm to compute the shortest path under the dynamic
network environment. Moreover, the shortest path computed by the algorithm must fulfill the
time constraint which specified by the users.|
|Appears in Collections:||Computer Science - Undergraduate Final Year Projects|
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