A Network-Level Connected Autonomous Driving Evaluation Platform Implementing C-V2X Technology  被引量:5

在线阅读下载全文

作  者:Siyu Fu Wei Zhang Zhiyuan Jiang 

机构地区:[1]School of Communication&Information Engineering,Shanghai University,Shanghai 200444,China [2]Shanghai Institute for Advanced Communication and Data Science(Shanghai University),Shanghai 200444,China

出  处:《China Communications》2021年第6期77-88,共12页中国通信(英文版)

基  金:This work was supported by the National Key R&D Program of China(Grant No.2019YFE0196600);the Nature Science Foundation of China(No.61871254,No.91638204,No.61861136003);the program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher Learning,and research funds from the Shanghai Institute for Advanced Communication and Data Science(SICS).

摘  要:With the emerging connected autonomous driving paradigm,more advanced applications leveraging vehicular communications are drawing tremendous attentions.In order to analyze the feasibility and performance of these applications,it is necessary to build an evaluation platform that jointly considers vehicular communication,road traffic and vehicle dynamics.This article describes our recent progress on network-level autonomous driving simulator based on the Cellular-Vehicle-to-Everything(C-V2X)protocol,and a joint platform combined with SUMO and CARLA simulators for evaluating road traffic and vehicle dynamics.To demonstrate its effectiveness,this article implements a hybrid multi-intersection scheduling scheme on the platform,and shows the advantages of the scheme in terms of traffic efficiency and fault tolerance.A remote driving application based on CARLA,wherein the interplay between communication and computation is also investigated.

关 键 词:performance evaluation LTE-V2X SUMO CARLA multi-intersection remote driving 

分 类 号:U463.6[机械工程—车辆工程] TN929.5[交通运输工程—载运工具运用工程]

 

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