主讲人：袁昀
邀请人：暨育雄
时间：2018年10月24日（周三）下午13:30~15:00
地点：tyc8722太阳集团城103会议室
主讲人简介：
袁昀，威斯康辛大学密尔沃基分校在读博士生，本科、硕士毕业于南京农业大学，目前主要研究方向是路外停车场建模与仿真，公交枢纽选址的优化分析，城乡交通大数据挖掘和分析，深度增强学习等，已发表中、英文学术论文11篇，学术会议报告4次，获授权软件著作权2项，其中相关论文发表在Transp Res Part C、Part E等期刊。
Abstract
This research presents a comprehensive agent-based framework for microscopic off-street parking system simulation. The proposed simulation models can effectively capture the behaviors of drivers and pedestrians as well as spatial and temporal interactions of traffic dynamics in the parking system. A methodology for data collection, processing, and extraction of user behaviors in the parking system is also developed. The proposed parking simulator outperforms the state-of-practice simulators in the following aspects: (a) facilitates the customization of the discrete choice models and machine learning models for the route choice and the spot choice (b) better captures low-speed mixed traffic dynamics with logic-based state machines rather than just adopting traditional road traffic modeling; and (c) offers capabilities and quantitative methods to aid the design of smart parking facility with multi-use, automated, shared spots, or electrical charging stations.
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