基于环路检测器数据和车牌识别的高速公路实时行驶时间估计

2012 ELEKTRO Pub Date : 2012-05-21 DOI:10.1109/ELEKTRO.2012.6225689

Jakub Wosyka, P. Pribyl

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引用次数: 8

摘要

提出了一种基于决策树的时间旅行估计模型。所提出的模型在布拉格和捷克共和国最广泛使用的动脉上进行了测试。该路段有许多未测量的输入和输出，并且在一段内只有两个检测器，因此很难估计行进时间。临时安装的ALPR系统用于训练决策树模型，从而提供可靠的行程时间估计。

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Real-time travel time estimation on highways using loop detector data and license plate recognition

This paper presents a time travel estimation model based on a decision tree. The proposed model was tested on the most widely used arterial in Prague and also in the Czech Republic. This road section has many unmeasured inputs and outputs and with regards to only two detectors within a section it is difficult to estimate the travel time. A temporary installation of ALPR system is used for training the decision tree model which consequently provides reliable travel time estimation.

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来源期刊

2012 ELEKTRO

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