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作 者:肖广兵[1] 潘晓婷 李子博 XIAO Guang-bing;PAN Xiao-ting;LI Zi-bo(College of Automotive and Transportation Engineering,Nanjing Forestry University,Nanjing Jiangsu 210037,China)
机构地区:[1]南京林业大学汽车与交通工程学院,南京210037
出 处:《河北软件职业技术学院学报》2023年第1期1-4,11,共5页Journal of Hebei Software Institute
基 金:国家自然科学基金资助项目(61803206);产业前瞻与共性关键技术重点项目(BE2017008-2);南京林业大学大学生创新训练计划项目(2021NFUSPITP0454)。
摘 要:针对目前换乘中心公共交通衔接不紧密、交通流量不均衡性较大、高峰小时出行需求与运力供给匹配度较低等问题,设计了一种基于TMS320的换乘中心智能管理系统。该系统通过行人检测跟踪模块、定位模块、数据处理模块、无线通信模块、监控模块等硬件模块监测换乘中心各种出行方式及线路交通需求的时间与空间分布,结合历史数据库,采用神经网络算法对交通需求分布变化趋势、高峰小时系数以及当天高峰小时交通需求量做出预测,同时可通过上位机管理界面实时更新地铁与公交的到达时刻表,根据变化趋势合理动态组织协调,实现换乘中心智能管理。Aiming at the problems of the current transfer center,such as the lack of close connection of public transport, the large imbalance of traffic flow, and the low matching between the travel demand and the supply of transport capacity in peak hours,an intelligent management system of transfer center based on TMS320 is designed. The system monitors the time and space distribution of various travel modes and line traffic demands in the transfer center through the pedestrian detection and tracking module, positioning module, data processing module, wireless communication module, monitoring module and other hardware modules. In combination with the historical database, the system uses neural network algorithm to predict the change trend of traffic demand distribution, peak hour coefficient and peak hour traffic demand of the day, At the same time, the arrival schedules of subway and bus can be updated in real time through the management interface of the upper computer, and the intelligent management of the transfer center can be realized through reasonable and dynamic organization and coordination according to the change trend.
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