Decision-tree based green driving suggestion system for carbon emission reduction

Wei-Hsun Lee, Yan-Cheng Lai, Pei-Yin Chen
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引用次数: 10

Abstract

With the growing awareness on environmental protection, the reduction of fuel consumption and carbon dioxide (CO2) emission have been receiving considerable research interests. With the advances in vehicular ad-hoc network (VANET) technology, a green driving suggestion system is proposed to minimize the carbon emission by enhancing the intersection throughputs and providing drivers the best-economic driving suggestions. The idea of this work is to let the signal controllers (with built-in RSU) broadcast the signal countdown message and waiting queue information to the vehicles nearby the intersection, extending the range of drivers' visual contact to the signal. With these information, on-board unit (OBU) can determine the best economic driving speed and provide drivers' suggestions while maintaining the max throughput within a cycle time. The goal of this work is to demonstrate the advantages of reducing vehicles fuel consumption as well as CO2 emission by minimizing the unnecessary acceleration, brakes and stops. Simulation results vividly shows that CO2 emission can be reduced by 4 percent to 20 percent under different vehicle per hour (vph) cases following the proposed scheme.
基于决策树的绿色驾驶碳减排建议系统
随着人们环保意识的增强,减少燃料消耗和二氧化碳排放已成为人们关注的焦点。随着车辆自组织网络(VANET)技术的进步,提出了一种绿色驾驶建议系统,通过提高交叉口吞吐量,为驾驶员提供最经济的驾驶建议,最大限度地减少碳排放。这项工作的思路是让信号控制器(内置RSU)向交叉口附近的车辆广播信号倒计时信息和等待队列信息,扩大驾驶员对信号的视觉接触范围。有了这些信息,车载单元(OBU)可以确定最佳的经济行驶速度,并为驾驶员提供建议,同时保持一个周期时间内的最大吞吐量。这项工作的目标是通过减少不必要的加速、刹车和停车来展示减少车辆燃料消耗和二氧化碳排放的优势。仿真结果生动地表明,在不同的车辆每小时(vph)情况下,采用该方案可以减少4%至20%的二氧化碳排放量。
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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