Abstract
Traditional route planning algorithms, which mainly focus on common metrics to find the optimal route from source to destination, are not enough to solve route planning requirements with location constraints like sequence, alternative and avoidance. For example, finding the shortest path passing the whole or a part of user-defined locations or location categories in order or disorder, or not passing some specified locations or categories. Mainly focusing on these scenarios, this paper formalizes the constrained route planning problem based on the regular expression generated by user requirements and gives a general framework for the exact solution. By using different shortest path algorithms, we show how the framework works efficiently with shortest path algorithms. Finally, extensive experiments on real road network datasets demonstrate the efficiency of our proposal.
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Acknowledgements
Our research is supported by the National Key Research and Development Program of China (2016YFB1000905), National Natural Science Foundation of China (61370101, 61532021, U1501252, U1401256 and 61402180), Shanghai Knowledge Service Platform Project (No. ZF1213) and the Funding Program of International Academic Conference for Graduate Students at East China Normal University.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, J., Liu, H., Zhang, Z. (2018). Constrained Route Planning Based on the Regular Expression. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_10
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DOI: https://doi.org/10.1007/978-3-030-00916-8_10
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