学术海报：Evaluating System Impacts of Automated Vehicles: A Multiple-Resolution Modeling Approach

主讲人：初连禹博士

讲座 时间：2017年3月31日（星期五） 上午10：00

地点：九里校区逸夫馆4305B

讲座内容简介：

In this study, a multi-resolution modeling approach was proposed to evaluate the impacts of Automated Vehicles (AVs) in a regional network. The approach involves the use of microsimulation to evaluate capacity improvement for different roadway facility types under different AV market penetration rates and the use of macroscopic travel demand model for regional network performance evaluation. The integrated car-following and car-control model is composed of a car control model to control AVs and a car-following model from a selected microsimulation software, Paramics, to model human drivers. A Capacity Adjustment Factor (CAF), or AV flow discount factor, was introduced to connect the qualitative analysis of AVs using microsimulation results with the macroscopic-level evaluation of the impacts of AVs in regional transportation networks. The approach only requires amendment to traffic assignment, by treating AVs as a separate class of vehicles, and applying CAFs to discount AV flows in travel impedance calculation during traffic assignment. The AV modeling approach was developed and experimented using some simple networks and examples. Some preliminary results will be shared during the presentation.

主讲人简介：

初连禹博士是国际智能交通界著名的科研和创新学者，从2000年开始先后在美国加州大学伯克利和欧文分校做博士后和研究员，从事智能交通、交通检测、交通信息、交通控制和交通管理方面的科研，现兼任中国西南交通大学的客座教授。初博士毕业于吉林大学，拥有电子工程学士、通信与电子系统硕士、交通运输规划与管理博士学位。2010年以来，初博士利用自身的多学科背景和深度科研的优势，通过激烈竞争，连续以主研身份获得8项美国运输部创新科研项目，这些项目以商业开发为目标，涉及车辆智能检测、交通大数据挖掘、卡车匿名跟踪、交通安全、交通系统仿真建模、车联网及自动驾驶等领域。