Abstract
Ride-sharing enables reduction of private car usage for commuting. This paper proposes a stable matching model for the ride-sharing which aims to minimize the travel cost of all commuters. A payment for the ride-sharing is designed considering the equity and incentive. An algorithm based on the deferred acceptance algorithm is proposed for the model. To verify the model and algorithm, cases with different scales are presented based on Dalian. The results illustrate that the compensation, time window and driver-to-rider ratios can affect the successful matching rate.
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Acknowledgements
This research was supported in National Natural Science Foundation of China (51578112, 71571026), Higher Education Development Fund (for Collaborative Innovation Center) of Liaoning Province, China (Grant Nos. 20110116401, 20110116101), the Program for Innovative Research Team in University (IRT17R13), the Fundamental Research Funds for the Central Universities (3132018301, 3132018304), Liaoning Excellent Talents in University LR2015008, the Fundamental Research Funds for the Central Universities (YWF-16-BJ-J-40 and DUT16YQ104) and partially funded by Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang Universtity.
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Peng, Z., Shan, W., Jia, P. et al. Stable ride-sharing matching for the commuters with payment design. Transportation 47, 1–21 (2020). https://doi.org/10.1007/s11116-018-9960-x
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DOI: https://doi.org/10.1007/s11116-018-9960-x