{"title":"Empirical Evidence of Connected Environment Driving on Fuel Consumption and Emissions","authors":"Yasir Ali;Anshuman Sharma;Zuduo Zheng;Md. Mazharul Haque","doi":"10.1109/TIV.2024.3395500","DOIUrl":null,"url":null,"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.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 11","pages":"7239-7250"},"PeriodicalIF":14.0000,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Intelligent Vehicles","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10510663/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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.
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.