基于旅行时间检测系统的交通应用研究

Research of traffic application based on travel time detection system

由于旅行时间的采集日趋精确,在交通领域被广泛地应用。首先介绍了一种基于精确车牌识别技术的旅行时间检测系统,然后重点阐述了检测数据的决策信息分析和处理,最后提出了一种以旅行时间为目标参数,以元胞自动机模型为基础的短时交通预测模型,并对其关键技术和难点进行了讨论和分析。

With the improvement of travel time detection algorithm, it is widely used in traffic research. A travel time detection system was introduced based on the precise vehicle plate recognition technology, and the analysis and process of detected data were mainly expatiated. A new short-term traffic flow prediction model was proposed, which was an expansion of cellular automaton model with travel time as critical target parameter. Its key technology and difficulty were discussed and analyzed.