|
1. [1] M. Nourinejad, "Dynamic optimization models for ridesharing and carsharing," University of Toronto, 2014. 2. [2] M. I. Hosny and C. L. Mumford, "Investigating genetic algorithms for solving the multiple vehicle pickup and delivery problem with time windows," in MIC2009, Metaheuristic International Conference, 2009. 3. [3] Y. Zhou, Y. Huang, J. McGlynn, and A. Han, "Who will you share a ride with: Factors that influence trust of potential rideshare partners," arXiv preprint arXiv:1707.04284, 2017. 4. [4] L. Tang, M. Han, Z. Duan, and D. Cai, "An efficient ride-sharing recommendation for maximizing acceptance on geo-social data," CCF Transactions on Pervasive Computing and Interaction, vol. 1, no. 4, pp. 240-249, 2019. [ DOI:10.1007/s42486-019-00015-0] 5. [5] J. Yousaf, J. Li, L. Chen, J. Tang, and X. Dai, "Generalized multipath planning model for ride-sharing systems," Frontiers of computer science, vol. 8, no. 1, pp. 100-118, 2014. [ DOI:10.1007/s11704-013-3021-6] 6. [6] Y. Lin, W. Li, F. Qiu, and H. Xu, "Research on optimization of vehicle routing problem for ride-sharing taxi," Procedia-Social and Behavioral Sciences, vol. 43, pp. 494-502, 2012. [ DOI:10.1016/j.sbspro.2012.04.122] 7. [7] C. Ma, R. He, and W. Zhang, "Path optimization of taxi carpooling," PLoS One, vol. 13, no. 8, p. e0203221, 2018. [ DOI:10.1371/journal.pone.0203221] 8. [8] W. M. Herbawi and M. Weber, "A genetic and جایگذاریion heuristic algorithm for solving the dynamic ridematching problem with time windows," in Proceedings of the 14th annual conference on Genetic and evolutionary computation, 2012, pp. 385-392: ACM. [ DOI:10.1145/2330163.2330219] 9. [9] G. Pankratz, "A grouping genetic algorithm for the pickup and delivery problem with time windows," Or Spectrum, vol. 27, no. 1, pp. 21-41, 2005. [ DOI:10.1007/s00291-004-0173-7] 10. [10] W.-R. Jih and J. Y.-J. Hsu, "A family competition genetic algorithm for the pickup and delivery problems with time window," Bulletin of the College of Engineering, no. NTU 90: 89-98, 2004. 11. [11] Q. Ye, C. Ma, R. He, Q. Xiao, and W. Zhang, "Multi-objective optimisation for taxi ridesharing route based on non-dominated sorting genetic algorithm," International Journal of Wireless and Mobile Computing, vol. 8, no. 3, pp. 262-270, 2015. [ DOI:10.1504/IJWMC.2015.069409] 12. [12] J. Żak, M. Hojda, and G. Filcek, "Multiple criteria optimization of the carpooling problem," Transportation Research Procedia, vol. 37, pp. 139-146, 2019. [ DOI:10.1016/j.trpro.2018.12.176] 13. [13] G.-q. Pan, "Study on Taxi Carpooling Based on City Gridding," Value Engineering, vol. 2013, no. 14, p. 14, 2013. 14. [14] G. Dimitrakopoulos, P. Demestichas, and V. Koutra, "Intelligent management functionality for improving transportation efficiency by means of the car pooling concept," IEEE transactions on intelligent transportation systems, vol. 13, no. 2, pp. 424-436, 2011. [ DOI:10.1109/TITS.2011.2169669] 15. [15] M. Berlingerio, B. Ghaddar, R. Guidotti, A. Pascale, and A. Sassi, "The GRAAL of carpooling: GReen And sociAL optimization from crowd-sourced data," Transportation Research Part C: Emerging Technologies, vol. 80, pp. 20-36, 2017. [ DOI:10.1016/j.trc.2017.02.025] 16. [16] G. H. de Almeida Correia, J. de Abreu e Silva, and J. M. Viegas, "Using latent attitudinal variables estimated through a structural equations model for understanding carpooling propensity," Transportation Planning and Technology, vol. 36, no. 6, pp. 499-519, 2013. [ DOI:10.1080/03081060.2013.830894] 17. [17] J. DeFrancisco, R. Harb, and E. Radwan, "Evaluation of a carpooling program in a university setting using a stated preference survey," 2014. 18. [18] E. L. Lasmar, F. O. de Paula, R. L. Rosa, J. I. Abrahão, and D. Z. Rodríguez, "Rsrs: Ridesharing recommendation system based on social networks to improve the user's qoe," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 12, pp. 4728-4740, 2019. [ DOI:10.1109/TITS.2019.2945793] 19. [19] S. B. Nasr, "New approach for a stable multi-criteria ridesharing system," arXiv preprint arXiv: 1901.02510, 2019. 20. [20] R. W. Floyd, "Algorithm 97: shortest path," Communications of the ACM, vol. 5, no. 6, p. 345, 1962. [ DOI:10.1145/367766.368168] 21. [21] A. Muruganantham and M. Gandhi, "Discovering and Ranking Influential Users in Social Media Networks Using Multi-Criteria Decision Making (MCDM) Methods," Indian J Sci Technol, vol. 9, no. 32, pp. 1-11, 2016. [ DOI:10.17485/ijst/2016/v9i32/95171] 22. [22] A. E. Eiben, E. Marchiori, and V. Valko, "Evolutionary algorithms with on-the-fly population size adjustment," in International Conference on Parallel Problem Solving from Nature, 2004, pp. 41-50: Springer. [ DOI:10.1007/978-3-540-30217-9_5] 23. [23] H. C. Chen YT, "Improve the carpooling applications with using a social community based travel cost reduction mechanism," International Journal of Social Science and Humanity, 2013. [ DOI:10.7763/IJSSH.2013.V3.201] 24. [24] W. Zhang, R. He, Y. Chen, M. Gao, and C. Ma, "Research on taxi pricing model and optimization for carpooling detour problem," Journal of Advanced Transportation, vol. 2019, 2019. [ DOI:10.1155/2019/3867874] 25. [25] A. Salehi-Abari and T. White, "The impact of naive agents in heterogeneous trust-aware societies," in International Workshop on Multi-Agent Systems and Agent-Based Simulation, 2009, pp. 110-122: Springer. [ DOI:10.1007/978-3-642-13553-8_10] 26. [26] H. Qadir, O. Khalid, M. U. Khan, A. U. R. Khan, and R. Nawaz, "An optimal ride sharing recommendation framework for carpooling services," IEEE Access, vol. 6, pp. 62296-62313, 2018. [ DOI:10.1109/ACCESS.2018.2876595] |
