基于出行成本和运营成本的接驳城市轨道交通社区公交站点布设研究OA北大核心CSCDCSTPCD
Study on locating sitting of community shuttle feeder URT based on the user and operator costs
接驳城市轨道交通的社区公交可有效解决乘客出行“最后一千米”的问题，社区公交站点的合理布设需要统筹兼顾乘客出行成本和企业运营成本。在候选站点中，将乘客的步行时间和在途时间作为乘客选择站点候车的影响因子，并将乘客的站点选择行为转化为该站点被选择的概率，以乘客的步行时间成本、候车时间成本、在途时间成本和企业的运营成本最小为目标，以步行距离、满载率、发车频率和站间距为约束建立多目标优化模型，采用遗传算法求解。最后通过仿真实例，给出了优化的发车间隔和站点布设方案，验证了模型和算法的合理性和可用性。
The community shuttle feeder urban rail transit(URT)is served as a traffic mode to solve the“last mile”problem and facilitate passengers.The rational location of stops is determined with the con-sideration of the user and operator costs.The walking time and traveling time of passengers are taken in-to account as the influence factor on the user’s site selection behavior.In this paper,the site selection be-havior is transformed into the probability of a stop selected among candidates along the fixed route.A multi-obj ective model is developed based on the minimization of user and operator costs,subj ected to walking distance,load factor,frequency and spatial.A genetic algorithm is adopted to solve the model. The simulation indicates the correctness and usability of the method giving the optimal combination of stops and an appropriate headway.
张思林;袁振洲;曹志超
北京交通大学 城市交通复杂系统理论与技术教育部重点实验室，北京 100044北京交通大学 城市交通复杂系统理论与技术教育部重点实验室，北京 100044北京交通大学 城市交通复杂系统理论与技术教育部重点实验室，北京 100044
交通工程
接驳轨道交通站点布设遗传算法社区公交发车间隔
URT feeder servicestop designgenetic algorithmcommunity shuttleheadway
《北京交通大学学报》 2016 (6)
57-63,7
国家重点基础研究发展计划(973计划)项目资助(2012CB725403)
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