用于车队管理和司机培训的智能适应性网络设备

M. Delehaye, D. Hubaux, L. Guedria, J. Legat, T. Delvaulx, B. Goffard
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引用次数: 4

摘要

由于当今交通运输的一个主要挑战是减少温室气体排放和减少燃料消耗,因此开发最佳使用车辆和节省燃料的方法变得势在必行。车队管理尤其关注这个问题。此外,要使euro 05标准充分发挥效率,驾驶员就成了关键因素。通过指导卡车司机避免让他们的车辆超出最佳工作范围,并更好地预测障碍物,可以实现燃料和设备的显著节约。在此背景下,我们表明信息和通信技术带来了新的解决方案。事实上,现在可以从车辆中获取必要的数据,以分析驾驶员的驾驶行为。本文介绍了一种解决最优驾驶员训练问题的方案,包括车辆数据的访问、车载和车载数据传输的解决方案以及高效的处理能力。目前的试点显示了显著的改进,受到司机的好评,并得到了令人鼓舞的改进反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart adaptable network device for fleet management and driver coaching
As one major challenge today in transport is the reduction of greenhouse gas emission and the decrease of fuel consumption, the development of methods for the optimal use of a vehicle and fuel savings becomes then mandatory. Fleet management is especially concerned by this problem. Moreover, for the EUR05 norm to be fully efficient, the driver becomes a key player. By coaching truck drivers to avoid bringing their vehicles out of their optimal working range and to better anticipate the obstacles, significant economy savings in fuel and equipment can be achieved. In this context, we show that Information and Communication Technologies bring a new solution. Indeed, it is now possible to acquire the necessary data from the vehicle in order to analyse the driving behaviour of the driver. This paper describes a solution for solving optimal driver coaching issue, involving an access to vehicle data, a solution for data transmission on-board and off-board, and an efficient processing capability. Current pilots show a significant improvement, well-received by the drivers, and encouraging feedback for enhancement.
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