Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Map Route Ranking with Weighted Distance using Environmental Factors   When users search for the routes between two places using map based services,
these services compute and provide the top candidate routes based on shortest
geometric distances or ideal time consuming. However, other real factors like
physical exertion and practical time consuming will influence user experience,
and the environmental factors like steep slope and traffic jam that result in
these real factors need to be considered. For example, when users travel on
foot or by bicycle, if there are many steep slopes on the routes, it will be
difficult or easy to be tired. In this paper, we propose an approach computing
weighted distance considering these environmental factors. We rank the
candidate route results generated by Google Map using elevation information. We
integrate the elevation information in the route results to assist users to
make decision. The solution can also be used in other scenarios that need to
consider environmental factors.

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The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
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The categories of this paper are: atom-ph
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The categories of this paper are: q-fin
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The categories of this paper are: patt-sol
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-ph
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The categories of this paper are: solv-int
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The categories of this paper are: mtrl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: eess
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The categories of this paper are: hep-lat
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The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga