Hybrid cooperative intersection management for connected automated vehicles and pedestrians  被引量:3

在线阅读下载全文

作  者:Pinlong Cai Jia He Yikang Li 

机构地区:[1]Shanghai Artificial Intelligence Laboratory,Shanghai 200232,China [2]Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China

出  处:《Journal of Intelligent and Connected Vehicles》2023年第2期91-101,共11页智能网联汽车(英文)

基  金:supported by the Science and Technology Commission of Shanghai Municipality(Nos.22YF1461400 and 22DZ1100102);the National Natural Science Foundation of China(No.72001007).

摘  要:Connected Automated Vehicles(CAVs)have drawn much attention in recent years.High reliable automatic technologies can help CAVs to follow given trajectories well.However,safety and efficiency are hard to be ensured since the interactions between CAVs and pedestrians are complex problems.Thus,this study focuses on cooperative intersection management for CAVs and pedestrians.To avoid the effects of uncertainty about pedestrian behaviors,an indirect way is to use pedestrians’signal lights to guide the movements of pedestrians,and such lights with communication devices can share information with CAVs to make decisions together.In time domains,a general conflict-free rule is established depending on the positions of CAVs and crosswalks.Geometric analysis with coordinate calculation is used to accurately determine the feasible vehicle trajectories and the reasonable periods for signal lights turning green.Four control strategies for the same conditions are compared in simulation experiments,and their performances are analyzed.We demonstrate that the proposed cooperative strategy not only balances the benefits of vehicles and pedestrians but also improves the traffic efficiency at the intersection.

关 键 词:connected automated vehicle INTERSECTION PEDESTRIAN CROSSWALK cooperative management 

分 类 号:U49[交通运输工程—交通运输规划与管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象