The objective of eco-drive technology is to reduce fuel consumption and resulting emissions using advances in communication and traffic control technologies with capability to support infrastructure-to-vehicle connection in a signalized network. On the human factors side, there is growing interest across the world in advising drivers to take eco-drive actions by effectively using the green phase of the signal cycle time to save fuel and reduce emissions. This paper describes a large-scale real-world research project in Ottawa (Ontario, Canada) on this subject. The technology and methods that support the green light optimized speed advisory (GLOSA) system were refined and all 1,178 traffic signals in the city were equipped to connect with a fleet of vehicles. Field study data were analyzed for speed trajectories, fuel consumption, and GLOSA compliance. Greenhouse emissions and fuel cost changes were computed. An anonymous questionnaire study investigated driver perception of the usefulness of the signal data displayed on an in-vehicle unit as advice on driving adjustment decisions made under prevailing traffic conditions. The over 65% compliance with GLOSA and the results of the driver questionnaire were mutually consistent. The fuel saving amounted to 7.6% but was adjusted to 5% because of uncertainties in daily vehicle travel. The reduction in carbon dioxide equivalent and fuel cost reported in the paper are based on a 5% adjustment. These results can be used for cost–benefit studies. Also, simulation-based research projects can verify their findings with the real-world experience reported in this paper.

生态驱动技术的目标是利用通信和交通控制技术的进步来减少燃料消耗和由此产生的排放，该技术具有支持信号网络中基础设施与车辆之间的连接的能力。在人为因素方面，全世界越来越多地建议驾驶员通过有效利用信号周期时间的绿色阶段来采取节能驾驶措施，以节省燃油并减少排放。本文介绍了在渥太华（加拿大安大略省）针对此主题进行的大规模现实世界研究项目。完善了支持绿灯优化速度咨询（GLOSA）系统的技术和方法，并为全市1,178个交通信号灯配备了可与车队连接的设施。分析了现场研究数据的速度轨迹，油耗，并符合GLOSA。计算了温室气体排放和燃料成本的变化。一项匿名调查表研究调查了驾驶员对车载单元上显示的信号数据的有用性的看法，这些信息可作为在主要交通状况下做出的驾驶调整决定的建议。超过65％的GLOSA遵从性和驾驶员问卷调查的结果相互一致。节油总计为7.6％，但由于日常车辆行驶的不确定性而被调整为5％。本文中所报告的二氧化碳当量和燃料成本的减少是基于5％的调整。这些结果可用于成本效益研究。同样，基于仿真的研究项目可以通过本文中报道的真实经验来验证其发现。一项匿名调查表研究调查了驾驶员对车载单元上显示的信号数据的有用性的看法，这些信息可作为在主要交通状况下做出的驾驶调整决定的建议。超过65％的GLOSA遵从性和驾驶员问卷调查的结果相互一致。节油总计为7.6％，但由于日常车辆行驶的不确定性而被调整为5％。本文中所报告的二氧化碳当量和燃料成本的减少是基于5％的调整。这些结果可用于成本效益研究。同样，基于仿真的研究项目可以通过本文中报道的真实经验来验证其发现。一项匿名调查表研究调查了驾驶员对车载单元上显示的信号数据的有用性的看法，这些信息可作为在主要交通状况下做出的驾驶调整决定的建议。超过65％的GLOSA遵从性和驾驶员问卷调查的结果相互一致。节油总计为7.6％，但由于日常车辆行驶的不确定性而被调整为5％。本文中所报告的二氧化碳当量和燃料成本的减少是基于5％的调整。这些结果可用于成本效益研究。同样，基于仿真的研究项目可以通过本文中报道的真实经验来验证其发现。