Lessons from proving ground experiments to investigate junction control

S. Box, John D. Lees-Miller, James R. Snowdon, James Hammond, Andrew Hamilton, S. Gupta, R. E. Wilson, B. Waterson
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引用次数: 1

Abstract

An experiment was conducted using the InnovITS proving ground in Nuneaton. Thirty cars with volunteer drivers were asked to drive around a tight closed road circuit causing them to pass repeatedly through a cross-roads junction from all directions. The junction was signalized. In different test-runs of the experiment the traffic lights were controlled by either an automated fixed-time system or by a human using remote control. All vehicles in the test were instrumented using GPS and bluetooth. Video footage from two cameras was also recorded.recorded. The goal of the experiment was to collect data on the performance of human junction controllers. This was motivated by earlier work indicated that human controllers could perform well at this task in a simulated `computer game' environment. In particular this paper examines some of the issues that arise when trying to simulate an urban road junction in this manner. For example results are presented indicating differences in network performance depending on whether the drivers were instructed to follow a fixed route or a random route of their choice. Thus providing some guidance for maximizing the fidelity of this type of simulation in the future. The paper also presents a detailed analysis of the sensor data and video footage to measure the performance of the junction under the different modes of control.
研究结控制的试验经验
在纽尼顿的InnovITS试验场进行了一项实验。志愿者驾驶的30辆汽车被要求绕着一条封闭的环形道路行驶,这条道路导致他们从各个方向反复穿过一个十字路口。路口有信号。在不同的实验测试中,红绿灯由自动定时系统或人工遥控控制。所有参与测试的车辆都使用了GPS和蓝牙。两个摄像头的录像也被录了下来。实验的目的是收集有关人体连接控制器性能的数据。早期的研究表明,人类控制者可以在模拟的“电脑游戏”环境中很好地完成这项任务。特别是本文探讨了一些问题,出现时,试图以这种方式模拟一个城市道路交界处。例如,结果显示了网络性能的差异,这取决于司机是被指示遵循固定路线还是他们选择的随机路线。从而为将来最大化这类仿真的保真度提供一些指导。本文还详细分析了传感器数据和视频片段,以测量不同控制模式下结的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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