Empirical Evidence of Connected Environment Driving on Fuel Consumption and Emissions

IF 14 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yasir Ali;Anshuman Sharma;Zuduo Zheng;Md. Mazharul Haque
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引用次数: 0

Abstract

A connected environment allows the sharing of information that can homogenise traffic flow by assisting drivers during their driving tasks, which may impact fuel consumption and emissions. However, this impact of connected environment driving is largely hypothesised or assessed via numerical simulations that lack factors reflecting human driving behaviour. This study fills this gap by investigating fuel consumption and emissions in a novel connected environment, which assists in making real-time decisions by creating 360° awareness of surrounding traffic. Using high-quality microscopic data obtained through a driving simulator, the fuel consumption and pollutant emissions of 78 participants are computed using four models from the literature. Results indicate that connected environment driving significantly reduces fuel consumption and pollutant emissions relative to a traditional driving environment, with the largest reduction being observed when responding to changes in traffic lights. Overall, results provide evidence of fuel savings in the connected environment using experimental data.
互联环境驾驶对油耗和排放的影响
互联环境允许共享信息,通过协助驾驶员完成驾驶任务,使交通流量均匀化,这可能会影响燃油消耗和排放。然而,互联环境驾驶的这种影响在很大程度上是通过缺乏反映人类驾驶行为因素的数值模拟来假设或评估的。这项研究通过调查新型互联环境中的油耗和排放,填补了这一空白,通过360度感知周围交通状况,有助于做出实时决策。利用驾驶模拟器获得的高质量微观数据,使用文献中的四种模型计算了78名参与者的燃油消耗和污染物排放。研究结果表明,与传统驾驶环境相比,互联环境驾驶显著降低了燃油消耗和污染物排放,在响应交通信号灯变化时减少幅度最大。总体而言,实验结果为互联环境下的燃油节约提供了证据。
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来源期刊
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization
CiteScore
12.10
自引率
13.40%
发文量
177
期刊介绍: The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.
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