An Improved Moving Observer Method for Traffic Flow Estimation at Signalized Intersections

An Improved Moving Observer Method for Traffic Flow Estimation at Signalized Intersections
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一种改进的移动观测器信号交叉口交通流量估计方法

DOI:
10.1109/iv47402.2020.9304762
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发表时间:
2020
期刊:
2020 IEEE Intelligent Vehicles Symposium (IV)
影响因子:
--
通讯作者:
K. Bogenberger
K. Bogenberger
中科院分区:
--
文献类型:
--
作者:
M. Langer;Thomas Schien;M. Harth;R. Kates;K. Bogenberger

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随着部分自动化和高度自动化车辆的部署,汽车行业对道路交通的影响力大大增加。为了确保自动驾驶汽车对交通效率和交通安全的积极影响,模拟被广泛用于所需功能的开发和测试。由于这些模拟应用于评估自动驾驶功能在真实的世界中的行为,因此模拟中真实的世界的精确表示对于生成结果的有效性至关重要。因此,需要一种方法,通过该方法可以量化真实世界情况的某些参数并将其应用于模拟。在这项工作中,我们提出了一种方法来测量交通流量和估计交通状态的网络的基础上扩展浮动车数据。为此目的,将关于履带式车辆的移动的数据与由车辆的传感器收集的关于周围交通的数据相结合。这种组合的目的是在城市和农村道路上实现准确的交通观测,同时使用最少数量的测试车辆收集数据。将该方法应用于模拟交通,可以准确估计交通量。该功能还基于有限的真实世界测试数据样本进行了演示。
With the deployment of partially and highly automated vehicles, the automotive industry is greatly increasing its influence on road traffic. In order to ensure a positive influence of automated vehicles on traffic efficiency as well as traffic safety, simulations are broadly used for the development and testing of the required functions. Since these simulations are applied to evaluate the behavior of an automated driving function in the real world, an exact representation of the real world in the simulation is essential for the validity of the generated results. Therefore, there is a need for methods with which certain parameters of real-world situations may be quantified and applied to a simulation. In this work, we propose an approach to measure traffic flow and estimate the traffic state in a network based on extended floating car data. For this purpose, the data concerning the movement of the tracked vehicles is combined with the data regarding surrounding traffic gathered by the vehicles' sensors. The aim of this combination is to achieve an accurate traffic observation on urban as well as rural roads with a minimal number of test vehicles gathering the data. The application of the method to simulated traffic results in an accurate estimation of the traffic volume. The functionality is also demonstrated based on a limited sample of real-world test data.
DOI: --
发表时间: 2002
期刊: --
影响因子: --
作者:
A. Mulligan;A. Nicholson
通讯作者: A. Mulligan;A. Nicholson