检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:Naroa Coretti Sanchez Inigo Martinez Luis Alonso Pastor Kent Larson
机构地区:[1]MIT Media Lab,Cambridge,MA,USA [2]University of Navarra,San Sebastian,Spain
出 处:《Communications in Transportation Research》2022年第1期104-115,共12页交通研究通讯(英文)
摘 要:Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain strength,the intersection of these fields appears as an area of great opportunity.Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems(SMMS),increasing their efficiency and incentivizing more people to use active mobility modes.The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience.This paper presents an ad-hoc agentbased simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios,including a rebalancing system based on demand prediction.It also allows comparing its performance to station-based and dockless schemes.The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data.The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders,including vehicle design engineers,fleet operators,city planners,and governments.
关 键 词:Future mobility Autonomous vehicles MICRO-MOBILITY Agent-basedsimulation MULTI-AGENTSYSTEMS
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.192