通过车辆检测器和车牌读取器估计和测量旅行时间

Sadao Takaba, Takeshi Morita, Takashi Hada
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引用次数: 50

摘要

1990年,日本警察厅(NPA)计划了一项为期两年的全国性研究项目,包括实地实验,“旅行时间估计和预测”,旨在实现向驾驶员提供旅行时间信息的可靠方法(1)。该项目由日本交通管理技术协会和三家系统制造商(住友电气、欧姆龙和松下通信)合作进行研究和实验工作。在三个主要城市(东京、横滨和大阪)开发和评估了几种估算和预测旅行时间的方法。利用检测器和车牌读取器信息以及三个主要城市的实地调查数据,开发了Sandglass、Delay Time、Auto Regressive和Neural Network 4种模型,并对其进行了评估。这里描述了第一年的评估结果。
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Estimation and measurement of travel time by vehicle detectors and license plate readers
In 1990, The Japanese National Police Agency (NPA) planned a nationwide two-year research project including field experiments, "Travel Time Estimation and Prediction" aimed at realizing a reliable method of providing travel time information to drivers (1). The project was conducted by the Japan Traffic Management Technology Association and three system manufacturers (Sumitomo Electric, OMRON and Matsushita Communication) collaborated on research and experimental work. Several methods of estimating and predicting travel time were developed and evaluated in three major cities (Tokyo, Yokohama and Osaka). Four models, Sandglass, Delay Time, Auto Regressive and Neural Network Models were developed and evaluated using detector and license plate reader information, and field survey data in the three major cities. The first year evaluation results are described here.
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