NDLI: Best-path planning for public transportation systems

Content Provider	IEEE Xplore Digital Library
Author	Chao-Lin Liu
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Nat. Chengchi Univ., Taiwan (Chao-Lin Liu)
Abstract	The author examines methods for a special class of path planning problems in which the routes are constrained. General search algorithms assume that we can move around in the traffic network freely, so they extend the partial paths from the very last location to each of its neighbors to form more partial paths. The best partial paths are then selected to expand, unless die selected partial path happens to he a solution. Without proper guidance, this strategy way lead to inefficient planning algorithms when the way one can move around in the networks Is constrained. This scenario could happen in public transportation system where passengers cannot order drivers to change the routes of public buses to meet individual travel needs. A few recently proposed path-planning algorithms for public transportation systems capture the route constraints by matrices. Although they work for some applications, they are not perfect for cooperating with traditional algorithms; for best-path planning. Applying special properties of matrix multiplication, the author also employs matrices for capturing the route constraints. The author improves previous designs, and comes up with the so-called Q matrices that serve well in the A* algorithm for best-path planning under route constraints.
Starting Page	834
Ending Page	839
File Size	534991
Page Count	6
File Format	PDF
ISBN	0780373898
DOI	10.1109/ITSC.2002.1041328
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transportation Iterative algorithms Chaos Bars Large Hadron Collider Path planning Mesh generation Costs Predictive models
Content Type	Text
Resource Type	Article

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