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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qing Song Zilecky, P. Jakob, M. Hrncir, J. |
| Copyright Year | 2014 |
| Description | Author affiliation: Agent Technol. Center, Czech Tech. Univ. in Prague, Prague, Czech Republic (Qing Song; Zilecky, P.; Jakob, M.; Hrncir, J.) |
| Abstract | To properly account for a broad range of routechoice factors in bicycle route planning, a multi-criteria optimization framework is needed. Unfortunately, in contrast to other categories of routing problems, optimal multi-criteria search has not yet been developed for bicycle routing. In this paper, we address this gap and provide a multi-criteria formulation of the bicycle routing problem and an optimum multi-label correcting algorithm for finding a full set of Pareto routes. To reduce the potentially very large number of Pareto solutions, we introduce a route selection algorithm, based on hierarchical clustering, for extracting a small representative subset of Pareto routes. We empirically evaluate our approach on a real-world cycleway network. We explore the size and structure of the set of Pareto routes and demonstrate the capability of our method to generate a practical set of bicycle routes in realistic conditions. |
| Starting Page | 1781 |
| Ending Page | 1787 |
| File Size | 2799252 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479960781 |
| DOI | 10.1109/ITSC.2014.6957951 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bicycles Routing Surface topography Clustering algorithms Roads Planning Algorithm design and analysis |
| Content Type | Text |
| Resource Type | Article |
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