摘要
探索将人车协同识别技术融入静态交通管理与出行服务优化,针对地面停车场、地下停车库、路内停车位等城市典型停车场景,构建城市智慧停车监管服务体系,验证设备实用性和数据可用性。结果表明,所提出的人车协同识别技术可以满足包括停车位状态识别、停车信息服务、动静态交通协调等功能在内的城市智慧停车监管服务要求,研究成果可为静态停车精细化管理策略的制定提供参考。
The research explores the integration of human-vehicle cooperative recognition technology into static traffic management and travel service optimization,focusing on typical urban parking scenarios such as surface parking lots,underground parking garages,and on-street parking spaces.A city smart parking supervision service system is proposed to verify the practicality of the equipment and the availability of data.The results demonstrate that the proposed human-vehicle cooperative recognition technology can support various functionalities of the urban smart parking supervision service,including parking space status identification,parking information services,and dynamic-static traffic coordination.The research findings can provide references for the formulation of refined management strategies for static parking.
作者
张楚
郑逸飞
陈峻
ZHANG Chu;ZHENG Yifei;CHEN Jun(School of Transportation,Southeast University,Nanjing 211189,China;Nanjing Research Institute of Static Transportation Technology Industry,Nanjing 210012,China;Jiangsu Expressway Network Operation&Management Center,Nanjing 210049,China)
出处
《现代交通技术》
2023年第6期51-55,共5页
Modern Transportation Technology
关键词
人车协同识别
城市停车
智慧停车平台
车辆监管
human-vehicle cooperative recognition
urban parking
smart parking platform
vehicle supervision
