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Recognition and Evaluation of Traffic Congestions Using Probe Car Data

利用探测车数据识别和评估交通拥堵

基本信息

批准号：
15560454
负责人：
ISHIDA Haruo
金额：
$ 2.18万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

Traffic congestion and jam is one of the major concerns of road users. But only little information is provided by the road administration. The performance measurement is thought to be important for road sectors to be accountable for policies and projects. In this relation, outcome index for the traffic congestion/jam from the viewpoint of road users is also important. The purpose of this paper is the establishment of the outcome index of traffic congestion considering not only objective evaluation but also road users' subjective evaluation and their satisfaction from the road users' perspective. For this purpose, this study developed following techniques,-recording system of the driver's judgment on congestion/jam by using PC-finding major factors affecting the congestion/jam recognition of drivers as well as passengers-modeling of congestion/jam judgmentThree models are developed respectively for urban expressway, expressway and normal road. To investigate the model transferability, these models were applied to the sample data from several regions, such as Ashikaga, Tsukuba, Tokyo, Nagoya, Kyusyu in Japan. There is not significant difference among the results of each region. This implies that the model can be applied nationwide. Moreover, it is also implied that using the probe car data, we can evaluate the traffic congestion in the area where the traffic detectors are not set up.Using the evaluation system which includes the judgment model, this study proposed a new index named "Traffic Jam Caught Ratio" and the case study for the cities, Tokyo, Yokohama, Fukuoka, were demonstrated. These results shows that this new index is effective for the evaluation of the road performance.

交通拥堵是道路使用者最关心的问题之一。但路政部门只提供了很少的信息。绩效衡量被认为是公路部门对政策和项目负责的重要因素。在这种关系中，从道路使用者的角度来看，交通拥堵/拥堵的结果指数也很重要。本文的目的是从道路使用者的角度出发，既考虑客观评价，又考虑道路使用者的主观评价和满意度，建立交通拥堵后果指数。为此，本研究开发了以下技术：-利用PC记录驾驶员对拥堵/拥堵的判断系统-找出影响司机拥堵/拥堵识别的主要因素以及乘客-拥堵/拥堵判断的建模。为了考察模型的可转移性，将这些模型应用于日本阿什卡加、筑波、东京、名古屋、九州等几个地区的样本数据。各地区的测评结果无显著差异。这意味着该模式可以在全国范围内应用。利用建立的评价模型，提出了一种新的交通拥堵发生率评价指标，并以东京、横滨、福冈等城市为例进行了实证研究。这些结果表明，这一新指标对评价道路使用性能是有效的。