摘要
为了更有效地利用扩展后的高速公路和城市快速公路网，考虑了瓶颈管理和基于交通检测器获得的交通数据的广域拥堵定价等措施。通常，数据的拥塞状态每天都会有所不同。本研究提出一种利用连续一小时值来分析交通量与行程时间图,直观直观地掌握日常交通状况的变化。这些值是通过每分钟移动数据而连续生成的小时值。利用日本名古屋高速公路网32个路段128天24小时1分钟数据绘制连续1小时值图。一些图显示了连续一小时值的循环，具有拥塞和值随时间的平滑变化特征。这些图表提供了每天最大一小时交通量的准确估计，并有助于连续理解连续路段上的拥堵模式变化。建立了小时旅行时间预测模型，以宏观地检查几个小时范围内的拥堵措施。根据连续1小时值的特点，采用多元回归分析建立了高精度的模型。小时行程时间模型的探索性预测分析使我们能够研究和讨论道路结构和交通流中的各种拥堵因素，发现它易于把握现象，保证准确性和可操作性。
Abstract
To make more efficient use of the expanded freeway and urban expressway networks, various measures such as bottleneck management and wide-area congestion pricing based on traffic data obtained from traffic detectors, including traffic volume and travel time, have been considered. Generally, the congestion status of the data varies from day to day. This study proposes a method for analyzing a graph of traffic volume and travel time to visually and intuitively grasp the change in the daily traffic situation using continuous one-hour values. These values are continuously generated hourly values obtained by shifting data every minute. Twenty-four hours 1 minute data for 128 days on 32 segments with detectors in the Nagoya Expressway Network in Japan were used to draw a continuous one-hour value graph. A number of graphs showed loops of continuous one-hour values with congestion and a smooth variation characteristic of values over time. These graphs provide an accurate estimate of the daily maximum one-hour traffic volumes and facilitate a sequential understanding of the congestion pattern changes on successive route segments. Hourly travel-time prediction models were constructed to macroscopically examine congestion measures over a range of several hours. These models were fabricated with high accuracy using multiple regression analysis based on the characteristics of continuous one-hour values. Exploratory predictive analysis of hourly travel-time models has allowed us to study and discuss various congestion factors in road structures and traffic flows, and it has been found to be easy to grasp the phenomenon and ensure accuracy and operability.
NETL
NSTL
Wiley-Hindawi