摘要
随着我国高速公路建设的快速发展,高速公路路线诱导可以显著提高高速公路的通行能力。根据现代智能交通运输系统的实际需求,研究基于GPS浮动车数据的采集系统,并构建基于BP神经网络算法的旅行时间预测模型,可为驾驶者提供实时的路线诱导,同时有助于驾驶员避开拥塞和提高出行质量。
With the rapid development of freeway in China, the route improve traffic capacity for freeway. According to the need of intelligent guidance can significantly transportation system （ITS）, data gathering system basing on GPS floating car is studied and travel time prediction model basing on algorithm of BP neural network is set up. This method can provide real time guidance of route for drivers, help dirvers avoid congestion and improve quality of trip.
出处
《交通标准化》
2010年第1期100-104,共5页
Communications Standardization
