科研项目

2024-2027，国家重点研发计划（政府间国际科技创新合作），基于车路协同的城市低碳交通关键技术研究与应用。课题3负责人

2023-2026，国家重点研发计划，移动源超低排放实时监测监管与质控技术。 子课题负责人

2022-2024，国家自然科学基金（青年项目），基于数据驱动和机器学习的机动车瞬态排放模型（尾气、非尾气）研究。 主持

2022-2025，国家自然科学基金（面上项目），在用汽油车蒸发排放控制装置劣化规律及其排放评估。 第一参与人

2022-2025，国家重点研发计划，城市和区域交通污染综合治理方案和示范实践。子课题骨干

[1] Qijun Zhang, Jiawei Yin,Zeping Cao, Tiange Fang, Jianfei Peng, Lin Wu, Hongjun Mao, Size distribution,chemical composition and influencing factors of vehicle tire wear particlesbased on a novel test cycle, Environmental Research, 268 (2025).

[2] Zhenyu Jia, Jiawei Yin,Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei,Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao, Machine learning helps revealkey factors affecting tire wear particulate matter emissions, EnvironmentInternational, 195 (2025).

[3] Zhenyu Jia, Jiawei Yin,Zeping Cao, Lin Wu, Ning Wei, Yanjie Zhang, Zhiwen Jiang, Dongping Guo, QijunZhang, Hongjun Mao, Regional vehicle energy consumption evaluation framework toquantify the benefits of vehicle electrification in plateau city: A case studyof Xining, China, Applied Energy, 377 (2025).

[4] Zhenyu Jia, Jiawei Yin,Zeping Cao, Ning Wei, Zhiwen Jiang, Yanjie Zhang, Lin Wu, Qijun Zhang, HongjunMao, Sustainable transportation emission reduction through intelligenttransportation systems: Mitigation drivers, and temporal trends, EnvironmentalImpact Assessment Review, 112 (2025).

[5] Qijun Zhang, Jiawei Yin,Tiange Fang, Quanyou Guo, Jiaxing Sun, Jianfei Peng, Chongzhi Zhong, Lin Wu,Hongjun Mao, Regenerative braking system effectively reduces the formation ofbrake wear particles, Journal of Hazardous Materials, 465 (2024).

[6] Qijun Zhang, Tiange Fang,Zhengyu Men, Ning Wei, Jianfei Peng, Tianqiang Du, Xinfeng Zhang, Yao Ma, LinWu, Hongjun Mao, Direct measurement of brake and tire wear particles based onreal-world driving conditions, Science of the Total Environment, 906 (2024).

[7] Bin Sun, Qijun Zhang, ZhongWu, Hongjun Mao, Impact of early-stage cooperative vehicle infrastructuresystems on traffic and energy consumption under various traffic conditions:From application to policy, Energy, 309 (2024).

[8] Bin Sun, Qijun Zhang, HongjunMao, Zhijun Li, Validation of a statistical-dynamic framework for predictingenergy consumption: A study on vehicle energy conservation equation, EnergyConversion and Management, 307 (2024).

[9] Bin Sun, Qijun Zhang, HongjunMao, Kun Li, Road energy capacity model for sustainable Transportation:Assessing energy consumption under road attributes and traffic condition, SustainableEnergy Technologies and Assessments, 70 (2024).

[10] Bin Sun, Qijun Zhang,Hongjun Mao, Liang Chen, Optimizing energy efficiency in intelligentvehicle-oriented road network design: A novel traffic assignment method forsustainable transportation, Sustainable Energy Technologies and Assessments, 69(2024).

[11] Bin Sun, Haibo Wang, QijunZhang, Hanchao Shi, Hongjun Mao, An energy-based framework for predictingvehicle noise source intensity: From energy consumption to noise, Journal ofEnvironmental Management, 369 (2024).

[12] Bin Sun, Haibo Wang, Le Hu,Qijun Zhang, Hanchao Shi, Hongjun Mao, Exploring vehicle-centric strategies forsustainable urban mobility: A theoretical framework for saving energy andreducing noise in transportation, Journal of Environmental Management, 358(2024).

[13] Bin Sun, Le Hu, Qijun Zhang,Chao Zou, Ning Wei, Zhenyu Jia, Zhong Wu, Hongjun Mao, Temporal variations inurban road network traffic performance during the early application of acooperative vehicle infrastructure system: Evidence from the real world, EnergyConversion and Management, 300 (2024).

[14] Bin Sun, Le Hu, Qijun Zhang,Chao Zou, Ning Wei, Zhenyu Jia, Zhong Wu, Hongjun Mao, Impacts oftraffic-signal-based speed guidance system across different application stageson traffic, Transportation Research Part D-Transport and Environment, 136(2024).

[15] Bin Sun, Le Hu, ZhaoyangFan, Hongjun Mao, Qijun Zhang, Evaluation indicators for road traffic energyconsumption: a review and prospect, Environmental Science and PollutionResearch, (2024).

[16] Zhenyu Jia, Jiawei Yin,Zeping Cao, Ning Wei, Zhiwen Jiang, Yanjie Zhang, Lin Wu, Qijun Zhang, HongjunMao, Large-scale deployment of intelligent transportation to help achievelow-carbon and clean sustainable transportation, Science of the TotalEnvironment, 949 (2024).

[17] Xiaoyang Zhao, Zhenyu Jia,Ning Wei, Dongping Guo, Lu Yao, Jiawei Yin, Lin Wu, Yanjie Zhang, Jianfei Peng,Ting Wang, Zhiwen Yang, Qijun Zhang, Hongjun Mao, Green light optimized speedadvisory achieves fuel savings and CO2 emission reduction by profoundlyimpacting driving behavior, Journal of Cleaner Production, 422 (2023).

[18] Qijun Zhang, Lei Yang,Jianfei Peng, Lin Wu, Hongjun Mao, Characteristics, sources, and health risksof inorganic elements in PM2.5 and PM10 at Tianjin Binhai internationalairport*, Environmental Pollution, 332 (2023).

[19] Qijun Zhang, Jiayuan Liu,Ning Wei, Congbo Song, Jianfei Peng, Lin Wu, Hongjun Mao, Identify thecontribution of vehicle non-exhaust emissions: a single particle aerosol massspectrometer test case at typical road environment, Frontiers of EnvironmentalScience & Engineering, 17 (2023).

[20] Lei Yang, Qijun Zhang,Jingbo Zhao, Chao Zou, Ning Wei, Zhenyu Jia, Yanjie Zhang, Fei Fu, Jianhua Lv,Lin Wu, Ting Wang, Jianfei Peng, Hongjun Mao, Real world emissioncharacteristics of Chinese fleet and the current situation of underestimatedship emissions, Journal of Cleaner Production, 418 (2023).

[21] Ning Wei, Zhenyu Jia,Xiaoyang Zhao, Lin Wu, Yanjie Zhang, Jianfei Peng, Ting Wang, Zhiwen Yang,Qijun Zhang, Hongjun Mao, Standard environmental evaluation framework revealsenvironmental benefits of green light optimized speed advisory: A case study onplug-in hybrid electric vehicles, Journal of Cleaner Production, 404 (2023).

[22] Bin Sun, Qijun Zhang, ChaoZou, Ning Wei, Zhenyu Jia, Zhong Wu, Hongjun Mao, Yi Zhang, The optimal speedmodel based on minimum temporal and spatial energy consumption, EnvironmentalScience and Pollution Research, 30 (2023) 70688-70700.

[23] Bin Sun, Qijun Zhang, ChaoZou, Ning Wei, Zhenyu Jia, Zhong Wu, Hongjun Mao, Research on microscopictraffic flow modeling and energy characteristics in the energy-saving drivingenvironment, Nonlinear Dynamics, 111 (2023) 14365-14378.

[24] Bin Sun, Qijun Zhang, Le Hu,Chao Zou, Ning Wei, Zhenyu Jia, Xiaoyang Zhao, Jianfei Peng, Hongjun Mao, ZhongWu, A prediction-evaluation method for road network energy consumption: Fusionof vehicle energy flow principle and Two-Fluid theory, Physica a-StatisticalMechanics and Its Applications, 626 (2023).

[25] Zhenyu Jia, Ning Wei, JiaweiYin, Xiaoyang Zhao, Lin Wu, Yanjie Zhang, Jianfei Peng, Ting Wang, Zhiwen Yang,Qijun Zhang, Hongjun Mao, Energy saving and emission reduction effects from theapplication of green light optimized speed advisory on plug-in hybrid vehicle,Journal of Cleaner Production, 412 (2023).

[26] Qijun Zhang, Lei Yang,Yanjie Zhang, Xiaozhen Fang, Lin Wu, Hongjun Mao,PM_2.5-PAHs and PM₁₀-PAHs atroadside environment: levels, meteorological impact, source apportionment, andhealth risks, Air Quality Atmosphere and Health, 15 (2022) 1287-1301.

[27] Qijun Zhang, Ning Wei, LeiYang, Xi Feng, Yanjie Zhang, Lin Wu, Hongjun Mao, Emission inventory andcontrol policy for non-road construction machinery in Tianjin, EnvironmentalScience and Pollution Research, 29 (2022) 6688-6697.

[28] Qijun Zhang, Ning Wei,Hongjun Mao, Impact of ethanol-gasoline implementation on vehicle emissionbased on remote sensing test, Environmental Research Communications, 4 (2022).

[29] Lei Yang, Qijun Zhang,Yanjie Zhang, Zongyan Lv, Lin Wu, Hongjun Mao, Real-world emissioncharacteristics of an ocean-going vessel through long sailing measurement,Science of the Total Environment, 810 (2022).

[30] Lei Yang, Qijun Zhang,Zongyan Lv, Yanjie Zhang, Zhiwen Yang, Fei Fu, Jianhua Lv, Lin Wu, Hongjun Mao,Efficiency of DECA on ship emission and urban air quality: A case study ofChina port, Journal of Cleaner Production, 362 (2022).

[31] Ning Wei, Qijun Zhang,Yanjie Zhang, Jiaxin Jin, Junyu Chang, Zhiwen Yang, Chao Ma, Zhenyu Jia,Chunzhe Ren, Lin Wu, Jianfei Peng, Hongjun Mao, Super-learner model realizesthe transient prediction of CO₂ and NOx of dieseltrucks: Model development, evaluation and interpretation, Environment International,158 (2022).

[32] Ning Wei, Zhengyu Men,Chunzhe Ren, Zhenyu Jia, Yanjie Zhang, Jiaxin Jin, Junyu Chang, Zongyan Lv,Dongping Guo, Zhiwen Yang, Jiliang Guo, Lin Wu, Jianfei Peng, Ting Wang,Zhuofei Du, Qijun Zhang, Hongjun Mao, Applying machine learning to constructbraking emission model for real-world road driving, Environment International,166 (2022).

[33] Ning Wei, Zhenyu Jia,Zhengyu Men, Chunzhe Ren, Yanjie Zhang, Jianfei Peng, Lin Wu, Ting Wang, QijunZhang, Hongjun Mao, Machine Learning Predicts Emissions of Brake WearPM_2.5: Model Construction and Interpretation,Environmental Science & Technology Letters, 9 (2022) 352-358.

[34] Bin Sun, Qijun Zhang, ChaoZou, Hui Tong, Ning Wei, Zhenyu Jia, Hongjun Mao, Review and prospect of researchon road traffic flow energy model, Environmental Science and PollutionResearch, 29 (2022) 81198-81209.

[35] Bin Sun, Qijun Zhang, NingWei, Zhenyu Jia, Chunming Li, Hongjun Mao, The energy flow of moving vehiclesfor different traffic states in the intersection, Physica a-StatisticalMechanics and Its Applications, 605 (2022).

[36] Chung Song Ho, Jianfei Peng,UnHyok Yun, Qijun Zhang, Hongjun Mao, Impacts of methanol fuel on vehicularemissions: A review, Frontiers of Environmental Science & Engineering, 16(2022).

[37] Qijun Zhang, Ning Wei, ChaoZou, Hongjun Mao, Evaluating the ammonia emission from in-use vehicles usingon-road remote sensing test, Environmental Pollution, 271 (2021).

[38] Qijun Zhang, Luna Sun, NingWei, Lin Wu, Hongjun Mao, The characteristics and source analysis of VOCsemissions at roadside: Assess the impact of ethanol-gasoline implementation,Atmospheric Environment, 263 (2021).

[39] Qijun Zhang, Hongjun Mao,Yanjie Zhang, Lin Wu, Characterization of PM-Bound Heavy Metal at RoadEnvironment in Tianjin: Size Distribution and Source Identification,Atmosphere, 12 (2021).

[40] Lei Yang, Qijun Zhang,Yanjie Zhang, Zongyan Lv, Yanan Wang, Lin Wu, Xi Feng, Hongjun Mao, AnAIS-based emission inventory and the impact on air quality in Tianjin portbased on localized emission factors, Science of the Total Environment, 783(2021).

[41] Qijun Zhang, Lei Yang, ChaoMa, Yanjie Zhang, Lin Wu, Hongjun Mao, Emission characteristics and chemicalcomposition of particulate matter emitted by typical non-road constructionmachinery, Atmospheric Pollution Research, 11 (2020) 679-685.

[42] Qijun Zhang, Lin Wu,Xiaozhen Fang, Mingyue Liu, Jing Zhang, Min Shao, Sihua Lu, Hongjun Mao,Emission factors of volatile organic compounds (VOCs) based on the detailedvehicle classification in a tunnel study, Science of the Total Environment, 624(2018) 878-886.

[43] Qijun Zhang, Lin Wu, ZhiwenYang, Chao Zou, Xiang Liu, Kaishan Zhang, Hongjun Mao, Characteristics ofgaseous and particulate pollutants exhaust from logistics transportationvehicle on real-world conditions, Transportation Research Part D-Transport andEnvironment, 43 (2016) 40-48.