基于多源信息融合的城市实时路况系统

Study on real-time traffic situation system in urban areas based on multi-information fusion

解决和缓解交通拥堵的关键在于建立合理的城市实时路况系统。目前实时路况系统多基于单一的浮动车数据,而浮动车数据的精度与其覆盖率和覆盖强度密切相关。文中在浮动车交通信息采集的基础上综合利用现有传统设备采集的交通信息进行决策级数据融合,实现移动采集与固定采集的相互补充,充分利用现有资源,提高了信息采集的准确性。

The key to solve the traffic jam problems is to establish the city real-time road surveillance system.But nowadays,it is only based on the statistics of the covered areas while the precision of the statistics heavily related with the covered rate and covered intensity.Here we carry a decision-level data fusion based on both the statistics and other sampled information to realize the compensation between the mobile data and fixed data.So the precision of the sampled information is improved.