摘要
为解决在预约需求下,考虑预约时刻、时长及延时需求的共享停车分配问题,提出一种共享停车泊位分配模型.以平台收益和停车步行距离为优化目标,将需求分为基本及延时两种情况,确定停车预约请求的分配策略.根据模型结构,设计随机解集生成方法,利用蒙特卡洛法确定模型的最优解.以医院停车场及周边停车场为案例,测试模型.结果表明,模型能较好地服务于共享停车泊位的分配,实现平台收益与满足需求之间的平衡.
This paper proposed a parking space allocation model to solve the parking allocation problem with reservation demand and the booking time,parking time and delay time are given.The profit of the system and walking distance users were set as the objectives.The demands were divided into basic request and delay request,and the model was then developed by collecting users'requests to determine the optimal allocation strategy.A random solution set generation method was proposed and a Monte Carlo algorithm was used to solve the problem.An example of a hospital and surrounding parking lots was used to test the model performance.The results illustrate that the proposed model can serve the parking space allocation problems and realize the balance between the system profit and user'demands.
作者
张水潮
蔡逸飞
黄锐
周竹萍
ZHANG Shui-chao;CAI Yi-fei;HUANG Rui;ZHOU Zhu-ping(School of Civil and Transportation Engineering,Ningbo University of Technology,Ningbo 315016,Zhejiang,China;School of Transportation,Southeast University,Nanjing 211189,China;School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2020年第3期137-143,162,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
浙江省哲学社会科学规划课题(19NDJC119YB)
江苏省自然科学基金面上项目(BK20171426)
中国—保加利亚科技合作委员会第16届例会交流项目(16-4).
关键词
系统工程
共享泊位分配
蒙特卡洛算法
延时需求
system engineering
parking space allocation
Monte Carlo algorithm
delay demand
