Results and issues of an automated truck platoon within the energy ITS project

S. Tsugawa
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引用次数: 82

Abstract

This paper presents an automated truck platoon that has been developed within a national ITS project named "Energy ITS," and the results and future issues. The five-year project started in 2008 aimed at energy saving and global warming prevention with automated driving. A platoon of three fully-automated heavy trucks and also a fully-automated light truck drove at 80 km/h with the gap of up to 4.7 m on a test truck. The lateral control was based on the lane marker detection by computer vision, and the longitudinal control was based on gap measurement by 76 GHz radar and lidar in addition to the inter-vehicle communications of 5.8 GHz DSRC and infrared. The radar and lidar also worked as the obstacle detection. The feature of the technologies is high reliability. Fuel consumption measurement on a test track shows that the fuel can be saved by about 15 % when the gap was 4.7 m. A simulation study shows that the effectiveness of the platooning with the gap of 10 m when the 40 % penetration in heavy trucks is 2.1 % reduction of CO2 along an expressway. In addition, experiments of four heavy trucks with CACC were also conducted for the introduction scenario. The technological and non-technological issues on automated driving and its introduction are also discussed.
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能源ITS项目中自动卡车排的结果和问题
本文介绍了在一个名为“能源智能交通”的国家智能交通项目中开发的自动卡车排,以及结果和未来的问题。该项目始于2008年,为期五年,旨在通过自动驾驶节省能源和防止全球变暖。一组由三辆全自动重型卡车和一辆全自动轻型卡车组成的车队在测试卡车上以80公里/小时的速度行驶,差距高达4.7米。横向控制基于计算机视觉的车道标志检测,纵向控制基于76 GHz雷达和激光雷达的间隙测量以及5.8 GHz DSRC和红外的车际通信。雷达和激光雷达也可作为障碍物探测。该技术的特点是可靠性高。在试验轨道上的油耗测量表明,当间距为4.7 m时,可节省约15%的燃油。仿真研究表明,在高速公路上,当重型卡车40%的穿透率时,以10 m间距进行队列行驶的效果可减少2.1%的二氧化碳排放。此外,还对四辆重型卡车的CACC进行了引入场景的实验。本文还讨论了自动驾驶的技术和非技术问题。
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