Suyan Li , Gang Li , Liqiang He , Hongli Wang , Liang Ji , Junfang Wang , Weicheng Chen , Yu Kang , Hang Yin
{"title":"重型柴油车氮氧化物排放与油耗:远程车载监测分析","authors":"Suyan Li , Gang Li , Liqiang He , Hongli Wang , Liang Ji , Junfang Wang , Weicheng Chen , Yu Kang , Hang Yin","doi":"10.1016/j.trd.2025.104875","DOIUrl":null,"url":null,"abstract":"<div><div>On-board monitoring (OBM), a cost-effective technical solution for real driving emission monitoring, is being globally adopted, with remote OBM data transmission for China VI heavy-duty diesel vehicles (HDDVs) being mandated, enabling big data–driven analysis of nitrogen oxide (NO<sub>X</sub>) emissions and fuel consumption. Enhancing data preprocessing through time alignment and anomaly removal, this study analyzed 14,570 HDDVs, showing a 78.8 % NO<sub>X</sub> reduction in China VI versus China V vehicles. Fuel consumption, however, is primarily influenced by vehicle weight, power rating, and driving conditions, and not emission standards. Both NO<sub>X</sub> emissions and fuel consumption increased at low speeds. Lower ambient temperatures minimally affected NO<sub>X</sub> emissions and fuel consumption, but increased NO<sub>X</sub> outliers. Elevated altitude slightly increased fuel consumption, while its influence on NO<sub>X</sub> emissions showed no consistent trend. These findings highlight the value of remote OBM data in understanding real-world NO<sub>X</sub> emissions and fuel consumption performance, guiding targeted strategies for in-use compliance.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104875"},"PeriodicalIF":7.3000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heavy-duty diesel vehicle NOX emissions and fuel consumption: Remote on-board monitoring analysis\",\"authors\":\"Suyan Li , Gang Li , Liqiang He , Hongli Wang , Liang Ji , Junfang Wang , Weicheng Chen , Yu Kang , Hang Yin\",\"doi\":\"10.1016/j.trd.2025.104875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>On-board monitoring (OBM), a cost-effective technical solution for real driving emission monitoring, is being globally adopted, with remote OBM data transmission for China VI heavy-duty diesel vehicles (HDDVs) being mandated, enabling big data–driven analysis of nitrogen oxide (NO<sub>X</sub>) emissions and fuel consumption. Enhancing data preprocessing through time alignment and anomaly removal, this study analyzed 14,570 HDDVs, showing a 78.8 % NO<sub>X</sub> reduction in China VI versus China V vehicles. Fuel consumption, however, is primarily influenced by vehicle weight, power rating, and driving conditions, and not emission standards. Both NO<sub>X</sub> emissions and fuel consumption increased at low speeds. Lower ambient temperatures minimally affected NO<sub>X</sub> emissions and fuel consumption, but increased NO<sub>X</sub> outliers. Elevated altitude slightly increased fuel consumption, while its influence on NO<sub>X</sub> emissions showed no consistent trend. These findings highlight the value of remote OBM data in understanding real-world NO<sub>X</sub> emissions and fuel consumption performance, guiding targeted strategies for in-use compliance.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":\"146 \",\"pages\":\"Article 104875\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part D-transport and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1361920925002858\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925002858","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
On-board monitoring (OBM), a cost-effective technical solution for real driving emission monitoring, is being globally adopted, with remote OBM data transmission for China VI heavy-duty diesel vehicles (HDDVs) being mandated, enabling big data–driven analysis of nitrogen oxide (NOX) emissions and fuel consumption. Enhancing data preprocessing through time alignment and anomaly removal, this study analyzed 14,570 HDDVs, showing a 78.8 % NOX reduction in China VI versus China V vehicles. Fuel consumption, however, is primarily influenced by vehicle weight, power rating, and driving conditions, and not emission standards. Both NOX emissions and fuel consumption increased at low speeds. Lower ambient temperatures minimally affected NOX emissions and fuel consumption, but increased NOX outliers. Elevated altitude slightly increased fuel consumption, while its influence on NOX emissions showed no consistent trend. These findings highlight the value of remote OBM data in understanding real-world NOX emissions and fuel consumption performance, guiding targeted strategies for in-use compliance.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.