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A discretized mixed\u2010integer linear programming (MIPL) model is developed based on a single electric bus route. We aim to obtain fast and high\u2010quality global solutions for this problem, and the model can be easily executed by bus operators by directly invoking an available optimization solver such as IBM ILOG CPLEX. We test our model on a real round\u2010trip bus route. Numerical experiments show that CPLEX takes approximately 6\u2009sec to obtain an optimal solution. The model can not only reasonably arrange daily trips for each electric bus and driver but also effectively determine the optimal charging schedule and management for an electric bus line. Besides, we analyze the sensitivity of the key parameters in the model. With the increase in the drivers\u2019 maximum workload, the drivers\u2019 average idle time decreases by approximately 11.25%. The objective value decreases by approximately 38.71% and 40.04% with increases in the battery capacity and fleet size, respectively, and the objective value increases by approximately 30.06% with the decrease in the initial battery driving range. In addition, we compare the effectiveness of our time discretization modeling method in solving the same case study to that from other similar studies, and the validity of our method can be verified by the calculation time. We also compare the computational efficiency of CPLEX in solving the same case study problem with and without implementing valid inequalities, and the computational efficiency of the valid inequality method is greatly improved. Finally, through the testing of a multiline network, the potential application of the model to a large\u2010scale traffic network is verified.<\/jats:p>","DOI":"10.1155\/2022\/3087279","type":"journal-article","created":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T19:05:10Z","timestamp":1647543910000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Optimal Charging Scheduling and Management with Bus\u2010Driver\u2010Trip Assignment considering Mealtime Windows for an Electric Bus Line"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-9402","authenticated-orcid":false,"given":"Yang","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8473-7787","authenticated-orcid":false,"given":"Tong","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,3,17]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107477"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2017.05.001"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.07.008"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.013"},{"key":"e_1_2_10_5_2","article-title":"Electric buses will take over half the world by 2025","volume":"41","author":"Chediak M.","year":"2018","journal-title":"International Environment Reporter"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.10.012"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2015.03.002"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.02.005"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11116-015-9654-6"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.09.002"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.retrec.2019.02.002"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2016.09.032"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/4868906"},{"key":"e_1_2_10_14_2","first-page":"209","article-title":"The basic problem of vehicle scheduling can be solved by maximum bipartite matching","volume":"2","author":"\u00c1rgil\u00e1n V. 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