摘要
基于半自动公交能够实现多辆公交单元协同行驶的特点,本文提出半自动公交编组与调度模型。考虑编组公交动态运行特性、乘客特性等因素,以公交公司运营成本与乘客出行时间成本为优化目标,优化发车间隔和编组规模,并采用改进的遗传算法进行求解。最后基于成都市116路公交线路对本文提出的模型进行评价,结果表明:与非编组模式相比本策略能降低35.9%的乘客出行成本与20.0%的运营成本,证明了本文提出的半自动公交编组模型的有效性。
Based on the feature that semi-automatic bus can realize the cooperative driving of multiple bus units,this paper proposes a semi-automatic bus grouping and scheduling model.Considering the dynamic operation characteristics and passenger characteristics of the marshalling bus,taking the operating cost of the bus company and the travel time cost of passengers as the optimization goals,the departure interval and the marshalling plan are optimized,and the improved genetic algorithm is used to solve the problem.Finally,the model proposed in this paper is evaluated based on the No.116 bus line in Chengdu.The results show that compared with the non-grouping mode,this strategy can reduce the passenger travel cost by 35.9%and the operating cost by 20.0%,which proves that the semi-automatic bus grouping proposed in this paper validity of the model.
作者
李轩睿
LI Xuanrui(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;NationalEngineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 610031,China)
出处
《综合运输》
2023年第5期82-88,102,共8页
China Transportation Review
关键词
运营成本优化
公交调度
半自动公交编组
遗传算法
Operation cost optimization
Bus dispatch
Semi-automatic bus grouping
Genetic algorithm
