论文部分内容阅读
浮动车系统在信息收集范围上有很高的自由度,和定点安装在路上的车辆感知器相比占有绝对的优势。本文详细介绍了名古屋浮动车实验的结晶——动态导航系统PRONAVI的结构和系统集成关键技术,该系统使用浮动车数据作成的历史数据库和日本道路交通中心(JARTIC)信息、降雨强度等实时信息进行最短路径检索和行程时间预测,并提供所有不同交通方式和路径的CO2排放量信息。实验表明基于多源数据融合的PRONAVI系统的最优路径检索及行程时间预测具有良好的适应性。
Floating vehicle systems have a high degree of freedom in collecting information and have an absolute advantage over vehicle sensors that are fixed on the road. In this paper, the structure and key technologies of PRONAVI, a crystal-dynamic navigation system experimenting with Nagoya floating car experiment, are introduced in detail. The system uses historical database made of floating car data and real-time information such as JARTIC information and rainfall intensity Shortest path retrieval and travel time forecasting, and provide information on CO2 emissions for all different modes of transport and routes. Experiments show that the PRONAVI system based on multi-source data fusion has good adaptability to the optimal path retrieval and travel time prediction.