DocumentCode
637330
Title
An approximate bus route planning algorithm
Author
Ow Yi Xian ; Chitre, Mandar ; Rus, Daniela
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2013
fDate
16-19 April 2013
Firstpage
16
Lastpage
24
Abstract
Much effort has been put into producing algorithms that solves the transport design problem. As this is a NP-hard problem, algorithms found in literature are typically stochastic and requires a high amount of time to compute. The main purpose of this paper is to propose a fast and deterministic approximate algorithm for bus route planning. In this paper, we will describe the algorithm proposed and show that it produces satisfactory results relative to existing algorithms when applied to Mandl´s benchmark. The main advantage of the proposed algorithm is that it is able to provide users with a performance lower bound that is fast to compute. The results may also be used as an initial design where stochastic methods may be applied upon to produce better results. Another possible advantage is that the algorithm may be applied if a fast, ad hoc bus route planning is required; perhaps during festival and different occasions. It can be very useful if commuters are able to check available bus routes whenever they travel.
Keywords
computational complexity; planning; road vehicles; stochastic processes; vehicle routing; Mandl benchmark; NP-hard problem; ad-hoc bus route planning; deterministic approximate bus route planning algorithm; performance lower bound; stochastic methods; time complexity; transport design problem; Algorithm design and analysis; Approximation algorithms; Erbium; Legged locomotion; Planning; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Vehicles and Transportation Systems (CIVTS), 2013 IEEE Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/CIVTS.2013.6612284
Filename
6612284
Link To Document