摘要
本研究旨在测试车路协同条件下生态驾驶的节能减排潜力。研究基于驾驶模拟技术搭建以生态车道(Ecolane)为路端、生态驾驶人机交互系统(EcoHMI)为车端的车路协同生态驾驶预警系统(Ecolane-HMI-CVIS)。招募40名驾驶人开展驾驶模拟实验和主观问卷调查,探究Ecolane-HMI-CVIS对机动车能耗排放的影响。与实验对照组相比,Ecolane-HMI-CVIS降低能耗1.03%,分别降低CO_(2)、CO、HC、NOX1.01%,10.72%,1.52%和9.83%;驾驶人主观认同且客观行为遵循Ecolane-HMI-CVIS预警信息时,车辆能耗排放最低。研究结果表明,车路协同生态驾驶预警系统能够促使驾驶人采用生态驾驶行为,从而降低车辆能耗排放;同时,驾驶人主观认知对预警系统的节能减排效果有明显影响,驾驶人感知有用性的影响最为显著。
The purpose of this study is to test the energy saving and emission reduction potential of eco-driving under the condition of vehicle-road coordination.Based on the driving simulation technology,an Ecolane-HMI-CVIS with Ecolane as the road end and EcoHMI as the car end were built.Forty drivers were recruited to participate in the driving simulation experiments and fill in subjective questionnaires,which was used to explore the impact of Ecolane-HMI-CVIS on energy consumption and emissions of running vehicles.Compared with the experimental control group,Ecolane-HMI-CVIS reduced energy consumption by 1.03% and reduced CO_(2),CO,HC and NOX by 1.01%,10.72%,1.52% and 9.83% respectively.When drivers subjectively agreed with and objectively followed the warning information given by the Ecolane-HMI-CVIS,the vehicle energy consumption hit the lowest point.The results showed that the Ecolane-HMI-CVIS was able to promote drivers to adopt eco-driving behaviors,which could reduce energy consumption.Meanwhile,drivers’subjective cognition also had a significant impact on the energy saving and emission reduction effect of the warning system,among which the perceived usefulness of drivers was the most influential one.
作者
靳雯婷
白昀
付强
伍毅平
赵晓华
JIN Wenting;BAI Yun;FU Qiang;WU Yiping;ZHAO Xiaohua(School of Urban Construction,Beijing University of Technology,Beijing 100124,China;Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China)
出处
《交通节能与环保》
2023年第2期91-99,共9页
Transport Energy Conservation & Environmental Protection
基金
北京市教委科技项目(KM201910005002)
北京市教委社科一般项目(SM202010005004)。
关键词
生态驾驶
车路协同
预警系统
驾驶模拟
生态车道
人机交互
eco-driving
cooperative vehicle infrastructure
warning system
driving simulator
ecolane
human machine interaction
