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On personalized and sequenced route planning

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Abstract

Online trip planning is a popular service that has facilitated a lot of people greatly. However, little attention has been paid to personalized trip planning which is even more useful. In this paper, we define a highly expressive personalized route planning query-the Personalized and Sequenced Route (PSR) Query which considers both personalization and sequenced constraint, and propose a novel framework to deal with the query. The framework consists of three phases: guessing, crossover and refinement. The guessing phase strives to obtain one high quality route as the baseline to bound the search space into a circular region. The crossover phase heuristically improve the quality of multiple guessed routes via a modified genetic algorithm, which further narrows the radius of the search space. The refinement phase backwardly examines each candidate point and partial route to rule out impossible ones. The combination of these phases can efficiently and effectively narrow our search space via a few iterations. In the experiment part, we firstly show our evaluation results of each phase separately, proving the effectiveness of each phase. Then, we present the evaluation results of the combination of them, which offers insight into the merits of the proposed framework.

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Notes

  1. http://map.google.com

  2. http://map.bing.com

  3. http://map.baidu.com

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Acknowledgments

This work was supported by the National High-tech Research and Development Program (863 Program) of China under Grant No. 2013AA01A603, the Pilot Project of Chinese Academy of Sciences under Grant No. XDA06010600 and the National Natural Science Foundation of China (Grant No. 61402312).

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Authors and Affiliations

  1. Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Jian Dai

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Jian Dai

  3. Department of Computer Science and Software Engineering, School of Software and Electrical Engineering, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC3122, Australia

    Chengfei Liu

  4. School of Computer Science and Technology, Soochow University, Suzhou, China

    Jiajie Xu

  5. School of Computer Science, Beijing University of Technology, Beijing, 100124, China

    Zhiming Ding

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  1. Jian Dai
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  2. Chengfei Liu
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Correspondence to Jian Dai.

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Dai, J., Liu, C., Xu, J. et al. On personalized and sequenced route planning. World Wide Web 19, 679–705 (2016). https://doi.org/10.1007/s11280-015-0352-2

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  • DOI: https://doi.org/10.1007/s11280-015-0352-2

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