Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway

被引:17
|
作者
He, Hong -di [1 ]
Lu, Dan-ni [1 ]
Zhao, Hong-mei [1 ]
Peng, Zhong-ren [2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Ctr ITS & UAV Applicat Res, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China
[2] Univ Florida, Coll Design Construct & Planning, Int Ctr Adaptat Planning & Design, POB 115706, Gainesville, FL 32611 USA
[3] Ajman Univ, Hlth Bldg Res Ctr, Ajman, U Arab Emirates
基金
中国国家自然科学基金;
关键词
Toll stations; Driving behaviour; Vehicle emission; Random forest; STEPWISE REGRESSION; ROAD GRADE; SPEED; LASSO; SIMULATION; IMPACT; MODEL; LOAD;
D O I
10.1016/j.trd.2023.104024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Electronic toll collection (ETC) has been designed and implemented to improve traffic efficiency and reduce traffic-related air pollution. However, the real-world impact of ETC on these factors is currently under-qualified. With this consideration, we attempted to reveal the effect of ETC on traffic efficiency and traffic pollution using portable emission measurement systems. Firstly, in contrast to the manual toll collection (MTC), ETC offer lower emissions and time savings, and there exist a quadratic relationship between emission rates and vehicle specific power. Secondly, vehicles in acceleration state emit more pollutants than other situations such as deceleration, steady cruising and idling in both ETC and MTC lanes. Thirdly, ETC lanes show 34.25% and 13.63% lower CO2 and NOx emissions, respectively, along with a 46.55% timesaving compared to MTC lanes. Finally, the study identifies engine load percent as the primary factor impacting emissions, accounting for 60-88% of the variance.
引用
收藏
页数:17
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