报告题目：Shared-Bike Big Data：Data-Driven Utilization-Aware Trip Advisor for Bike-sharing Systems
主讲人：程鹏 教授，青年长江学者
日 期：2018年04月19日（星期四）
时 间：14：30-16：00
地 点：学院A101会议室
主 持：陈旭 教授
地 点：学院A101会议室
主 持：陈旭 教授
报告摘要：
Rapid development of bike-sharing systems has brought people enormous convenience during the past decade. On the other hand, high transport flexibility comes with dynamic distribution of shared bikes, leading to an unbalanced bike usage and growing maintenance cost. In this paper, we consider to rebalance bicycle utilization by means of directing users to different stations. For the first time, we devise a trip advisor that recommends bike check-in and check-out stations with joint consideration of service quality and bicycle utilization. From historical data, we firstly identify that biased bike usage is rooted from circumscribed bicycle circulation among few active stations. Therefore, with defined station activeness, we optimize the bike circulation by leading users to shift bikes between highly active stations and inactive ones. We extensively evaluate the performance of our design through real-world datasets. Evaluation results show that the percentage of frequent used bikes decreases by 33.6% on usage number and 28.6% on usage time.
主讲人简介：
程鹏 教授，浙江大学工业控制研究所副所长、网络空间安全中心副主任。研究领域为控制系统安全、网络化估计与控制、信息物理融合系统/物联网等。在相关会议MobiSys、MobiHoc、INFOCOM和期刊IEEE TAC、Automatica、IEEE TDSC等发表论文50余篇。获2014教育部科技进步一等奖、2017教育部自然科学一等奖、2016国家科技进步二等奖，霍英东青年教师奖。担任IEEE Trans. Control of Network Systems编委，中国自动化学会工业控制系统信息安全专委会秘书长。