您当前所在位置: 首页 > 讲座报告 > 正文
讲座报告

Eco-driving of Autonomous Vehicles Approaching Multiple Signalized Intersections

来源:机电工程学院          点击:
报告人 孟祥宇 副教授 时间 7月15日10:00
地点 腾讯会议直播 报告时间

讲座名称:Eco-driving of Autonomous Vehicles Approaching Multiple Signalized Intersections

讲座人:孟祥宇 副教授

讲座时间:7月15日10:00

讲座地点:腾讯会议直播(ID:219 123 301https://meeting.tencent.com/s/qHWj29FJdisK

 

 

讲座人介绍:

孟祥宇,现任美国路易斯安那州立大学电气与计算机工程系副教授。他在加拿大阿尔伯塔大学电气与计算机工程系获得控制系统博士学位。2014年12月至2016年12月,新加坡南洋理工大学电气与电子工程学院任职Research Fellow。 2017年1月至2018年12月,美国波士顿大学系统工程系,博士后。他的研究兴趣包括多智能体系统的事件触发控制、节能多智能体覆盖控制和联网自动驾驶汽车的生态驾驶。

 

 

讲座内容:

Connected and automated vehicles provide an intriguing opportunity for enabling users to better monitor transportation network conditions and to improve traffic flow. Their proliferation has rapidly grown, largely as a result of Vehicle-to-X technology which refers to an intelligent transportation system where all vehicles and infrastructure components are interconnected with each other. Such connectivity provides precise knowledge of the traffic situation across the entire road network, which in turn helps optimize traffic flows, enhance safety, reduce congestion, and minimize emissions. This talk will present the problem of optimally controlling trajectories of autonomous vehicles to jointly minimize travel time and energy consumption in the presence of multiple signalized intersections, which are modeled as spatiotemporal constraints on these trajectories. In addition to state and input constraints, the spatial equality and temporal inequality constraints can be viewed as interior-point constraints. This problem is addressed by first identifying the structure of the optimal acceleration profile and showing that it is characterized by several parameters subsequently used for trajectory design optimization. Therefore, the infinite dimensional optimal control problem is transformed into a finite dimensional parametric optimization problem. The simulation results show quantitatively the advantages of the proposed algorithm in terms of energy consumption and travel time.


主办单位:机电工程学院

123

南校区地址:陕西省西安市西沣路兴隆段266号

邮编:710126

北校区地址:陕西省西安市太白南路2号

邮编:710071

电话:029-88201000

访问量:

版权所有:西安电子科技大学     陕ICP备05016463号     建设与运维:信息网络技术中心