【摘要】 为了分析公交线路发车时刻优化问题，以相交且发生换乘的两条公交线路作为研究对象，在考虑乘客滞站的前提下，以候车总时间、换乘等待时间和非换乘乘客候车时间最短为目标函数，构建公交时刻表优化模型。并选择了呼和浩特市4路公交“金隅环球中心—医科大学附属医院”段、78路“呼市公交公司—赛罕区教育局”段两条线路作为研究对象，利用构建的优化模型通过遗传算法进行求解。结果显示：应用所提出的公交时刻表优化方案，乘客换乘等待时间和乘客总候车时间分别节省了18.1%和10.7%。可见，所提出的优化模型可以有效提高相交线路的运行效率。更多还原

【Abstract】 In order to analyze the optimization problem of bus route departure time, two intersecting bus routes with transfers were taken as the research object. Taking into account passenger congestion, a bus timetable optimization model was constructed with the objective function of minimizing the total waiting time, transfer waiting time, and non transfer passenger waiting time. Two city bus routes in Hohhot City, namely Line 4 “JINYU Global Center to Affiliated Hospital of Medical University” section and Line 78 “Hohhot Bus to Saihan District Education Bureau” section, were studied, and the optimization model was solved using genetic algorithm. The results show that the proposed city bus timetable optimization scheme can shorten the transit waiting time and total waiting time by 18.1% and 10.7% respectively, thereby validating the proposed optimization model’s effectiveness in improving the operating efficiency of intersecting routes.更多还原