摘要： In Taiwan, taxi pooling is currently performed by some taxi companies using a trial-and-error experience-based method, which is neither effective nor efficient. There is, however, little in the literature on effective models and solution methods for solving the taxi pooling problem. Thus, in this study we employ network flow techniques and a mathematical programming method to develop a taxi pooling solution method. This method is composed of three models. First, a fleet routing/scheduling model is constructed to produce fleet/passenger routes and schedules. A solution algorithm, based on Lagrangian relaxation, a sub-gradient method and a heuristic to find the upper bound of the solution, is proposed to solve the fleet routing/scheduling model. Then, two single taxi-passenger matching models are constructed with the goals of decreasing number of passenger transfers and matching all passengers and taxis. These two taxi-passenger matching models are directly solved using a mathematical programming solver. For comparison with the solution method, we also develop another heuristic by modifying a heuristic recently proposed for solving a one-to-many taxi pooling problem. The performance of the solution method and the additional heuristic are evaluated by carrying out a case study using real data and suitable assumptions. The test results show that these two solution methods could be useful in practice. 其他題名： Transportation 出版者： Boston: Springer US 出版日期： 2012-05-01 出處： Transportation (Dordrecht), 2012-05, Vol.39 (3), p.723-748 資源來源： EBSCOhost OmniFile Full Text Select 版權： Springer Science+Business Media, LLC. 2011 版權： 2015 INIST-CNRS 版權： Springer Science+Business Media, LLC. 2012 識別號： ISSN: 0049-4488 識別號： EISSN: 1572-9435 識別號： DOI: 10.1007/s11116-011-9354-9 識別號： CODEN: TNPRDN
