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Modeling pedestrian-vehicle interactions at unsignalized mid-block crosswalk under automated vehicle mixed traffic flow conditions: an agent-based approach

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Journal of Traffic and Transportation Engineering(English Edition) 2025年

作者： Haojie Li Binyue Zhao ziqian zhang Yingheng zhang Gang Ren School of Transportation， Southeast University Jiangsu Key Laboratory of Urban ITS Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

The introduction of automated vehicles (AVs) is expected to improve the safety and traffic efficiency of the transportation system. However， the impacts of AVs on pedestrian-vehicle interactions (PVIs) remain unclear， especially under the mixed traffic flow condition with AVs and conventional vehicles (CVs). The objective of this paper is to investigate PVIs under AV mixed traffic flow at unsignalized mid-block crosswalk (UMC) where the right of way competition exists and the traffic conditions are more complex. An agent-based simulation model is proposed to evaluate the safety and traffic efficiency under a diverse range of different scenarios. Some agents’ behavioral parameters are calibrated from trajectory and video data collected at two sites in Nanjing. The proposed model is also validated by comparing Post-Encroachment Time (PET) and pedestrian waiting time outputted from simulation with those extracted from empirical data. The simulation results suggest that the introduction of AVs has limited effect on both safety and efficiency levels at UMC under the low AV penetration rate. Compared to the negotiated yielding strategy of AVs， the conservative yielding strategy performs better in terms of pedestrian safety， but worse in improving traffic efficiency. Moreover， the results reveal that pedestrian and vehicle volumes， the proportion of pedestrians familiar with AVs， and the proportion of risk-prone pedestrians could significantly affect the safety and efficiency levels at UMC. Lastly， we provide some practical recommendations for determining treatments for mid-block crosswalks with AV mixed traffic flow to improve pedestrian safety and traffic efficiency.

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A Neuro-Fuzzy Crime Prediction Model Based on Video Analysis

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Chinese Journal of Electronics 2018年第5期27卷 968-975页

作者： ZOU Beiji Nurudeen Mohammed ZHU Chengzhang zhang ziqian ZHAO Rongchang WANG Lei School of Information Science and Engineering Central South University College of Literature and Journalism Central South University

A hybrid neuro-fuzzy model for predicting crime in a wide area such as a town or district in *** model is built using what we describe as crime indicator events extracted from simulated wide area surveillance network. The framework principally involves two phases,namely video analysis and crime modeling phases. In video analysis a concept based approach for video event detection is used to detect crime indicator events. Based on the extracted indicators with other related variables, a fuzzy inference system capable of learning is constructed in the second phase. The model is constructed using Violent scene detection(VSD) 2014 dataset and testing is done using UCR-Videoweb dataset. The experimental results show that the proposed method is quite demonstrative and promising.

关键词： Hybrid intelligent systems(HIS) Subtractive clustering Video event detection Crime prediction

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Humanoid robot heads for human-robot interaction:A review

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Science China(Technological Sciences) 2024年第2期67卷 357-379页

作者： LI Yi ZHU LiXiang zhang ziqian GUO MingFei LI ZhiXin LI YanBiao HASHIMOTO Minoru Key Laboratory of Special Purpose Equipment and Advanced Processing Technology of Ministry of Education Zhejiang University of TechnologyHangzhou 310023China Zhejiang Provincial Key Laboratoryof Special Purpose Equipment and Advanced Processing Technology Zhejang Universityof Technology Hangzhou 310023 China Faculy of Textile Science and Technology Shinshu UniversityUeda 386-8567Japan

The humanoid robot head plays an important role in the emotional expression of human-robot interaction(HRI).They are emerging in industrial manufacturing,business reception,entertainment,teaching assistance,and tour *** recent years,significant progress has been made in the field of humanoid ***,there is still a lack of humanoid robots that can interact with humans naturally and *** review comprises a comprehensive survey of state-of-the-art technologies for humanoid robot heads over the last three decades,which covers the aspects of mechanical structures,actuators and sensors,anthropomorphic behavior control,emotional expression,and human-robot ***,the current challenges and possible future directions are discussed.

关键词： humanoid robot head anthropomorphic behaviors emotional expression human-robot interaction

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Ring-restricted N-nitrosated rhodamine as a green-light triggered,orange-emission calibrated and fast-releasing nitric oxide donor

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Chinese Chemical Letters 2018年第10期29卷 1497-1499页

作者： Haihong He Tingting He ziqian zhang Xiu Xu Huibin Yang Xuhong Qian Youjun Yang State Key Laboratory of Bioreactor Engineering East China University of Science and Technology Shanghai 200237 China Shanghai Key Laboratory of Chemical Biology School of Pharmacy East China University of Science and Technology Shanghai 200237 China Guangxi Scientific Research Center of Traditional Chinese Medicine Guangxi University of Chinese Medicine Nanning 530200 China State Key Laboratory of the Discovery and Development of Novel Pestidde Shenyang Sinochem Agrochemicals R&D Co. Ltd. Shenyang 110021 China

Nitric oxide（NO） donors are versatile tools for nitric oxide biology. The biological response of NO is dependent on the transient concentration and the sustained duration. N-Nitrosated rhodamines are photo-triggered and photo-calibrated NO donors. We recently discovered that suppression of the dihedral angle between the N-nitroso fragment with the rhodamine scaffold facilitates NO *** by this discovery, we developed a fast-releasing NO donor （NOD575） suitable for biological applications, e.g., the pulmonary arterial smooth muscle cells（PASMCs）.

关键词： NO donor Photo-trigger Photo-calibrate Platelet aggregation inhibition Antimicrobial

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Engineering a folic acid-decorated ultrasmall gemcitabine nanocarrier for breast cancer therapy: Dual targeting of tumor cells and tumor-associated macrophages

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Acta Pharmaceutica Sinica B 2022年第3期12卷 1148-1162页

作者： Pearl Moharil Zhuoya Wan Apurva Pardeshi Jiang Li Haozhe Huang zhangyi Luo Sanjay Rathod ziqian zhang Yuang Chen Bei zhang Christian A.Fernandez Jingjing Sun Song Li Center for Pharmacogenetics Department of Pharmaceutical ScienceSchool of PharmacyUniversity of PittsburghPA 15261USA

Combination of passive targeting with active targeting is a promising approach to improve the therapeutic efficacy of ***,most reported polymeric systems have sizes above100 nm,which limits effective extravasation into tumors that are poorly vascularized and have dense *** will,in turn,limit the overall effectiveness of the subsequent uptake by tumor cells via active *** this study,we combined the passive targeting via ultra-small-sized gemcitabine(GEM)-based nanoparticles(NPs)with the active targeting provided by folic acid(FA)conjugation for enhanced dual targeted delivery to tumor cells and tumor-associated macrophages(TAMs).We developed an FAmodified prodrug carrier based on GEM(PGEM)to load doxorubicin(DOX),for co-delivery of GEM and DOX to *** co-delivery system showed small particle size of~10 nm in *** ligand-free and FA-targeted micelles showed comparable drug loading efficiency and a sustained DOX release *** FA-conjugated micelles effectively increased DOX uptake in cultured KB cancer cells that express a high level of folate receptor(FR),but no obvious increase was observed in 4T1.2 breast cancer cells that have a low-level expression of ***,in vivo,systemic delivery of FAPGEM/DOX led to enhanced accumulation of the NPs in tumor and drastic reduction of tumor growth in a murine 4T1.2 breast cancer *** study showed that 4T1.2 tumor grown in mice expressed a significantly higher level of FOLR2,which was selectively expressed on ***,targeting of TAM may also contribute to the improved in vivo targeted delivery and therapeutic efficacy.

关键词： Folic acid Gemcitabine Polymeric micelles Breast cancer Dual targeting Tumor associated macrophages Ultrasmall nanocarrier Doxorubicin

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干湿联合冷却系统技术发展现状及展望

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化工进展 2021年第1期40卷 21-30页

作者：张子倩张早校张强西安交通大学化学工程与技术学院动力工程多相流国家重点实验室陕西西安710049 山东蓝想环境科技股份有限公司山东潍坊271000

冷却系统在工业生产过程中起着至关重要的作用。湿冷系统或空冷系统都有比较明显的优缺点,湿冷机组虽然热经济性高,但耗水量大,而我国的水资源相对紧张。空冷也有很多棘手的问题有待解决,如投资非常大,受环境温度等条件的限制多。干湿... 详细信息

冷却系统在工业生产过程中起着至关重要的作用。湿冷系统或空冷系统都有比较明显的优缺点,湿冷机组虽然热经济性高,但耗水量大,而我国的水资源相对紧张。空冷也有很多棘手的问题有待解决,如投资非常大,受环境温度等条件的限制多。干湿联合冷却系统同时兼顾干冷系统和湿冷系统优点,是煤化工、石油化工、电力等行业冷却系统的发展趋势。本文基于空冷系统和湿冷系统的发展,对干湿联合冷却系统的形成和分类进行了综述。着重阐述了干湿冷却系统模型、主要设备、系统优化等研究方向的国内外最新现状。在此基础上,对节水消雾、露点冷却和其他应用于干湿联合冷却系统的技术进行了综述,并对进一步值得研究的重点方向进行了展望,为干湿联合冷却系统的理论研究、工程实践、系统运行提供参考。

关键词：干湿联合冷却系统模型蒸发优化

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薄壁管材纯弯曲后截面残留扁化变形预测

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机械工程学报 2018年第16期54卷 108-117页

作者：张子骞颜云辉东北大学机械工程与自动化学院

针对薄壁金属管材在塑性纯弯曲后横截面扁化变形难于准确预测的难题,运用四点纯弯曲试验,获得截面残留扁化量的实测数据,进而发现截面最大扁化量出现在垂直于轴向弯曲中性层的方向。随后基于图像处理技术与数据拟合方法,探索出可采用椭... 详细信息

针对薄壁金属管材在塑性纯弯曲后横截面扁化变形难于准确预测的难题,运用四点纯弯曲试验,获得截面残留扁化量的实测数据,进而发现截面最大扁化量出现在垂直于轴向弯曲中性层的方向。随后基于图像处理技术与数据拟合方法,探索出可采用椭圆函数对截面轮廓进行近似数学描述。运用经典卸载理论构建薄壁管材纯弯曲后截面最大残留扁化量的预测模型。通过理论值与试验数据的比对证明了模型的正确性,并获得最大残留扁化量随弯曲半径、壁厚的变化关系。该理论模型能为提高薄壁管材塑性弯曲过程的成形质量提供有效途径。

关键词：薄壁管材塑性纯弯曲截面扁化最大残留扁化量

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Bearing Defect Detection Based on Acoustic Feature Extraction and Statistical Learning

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Journal of Applied Mathematics and Physics 2021年第11期9卷 2927-2935页

作者： Di Wu Jinlong Sun Zhifeng Liu ziqian zhang Min Huang Zhongzhe Xiao School of Optoelectronic Science and Engineering Soochow University Suzhou China

Bearings are widely utilized as key components in industrial scenarios. Therefore, the automatic and precise inspection of bearing defects is imperative for the manufacturing of the bearing. In this paper, a novel defect detection method based on acoustics is proposed to further improve both the accuracy and the efficiency of the defection process. We firstly constructed a labeled dataset composed of acoustic signals sampling from different bearings with a certain rotational speed. OpenSMILE is adopted to extract the acoustic features and the target acoustic feature dataset with 6373 features is formed. To further improve the efficiency of the proposed method, a feature selection strategy based on the chi-square test is adopted to eliminate the most inefficient features. Several statistical learning models are constructed and trained as the classifier. Eventually, the performance of classifiers is evaluated and achieves relatively high accuracy and efficiency with an extremely imbalanced dataset.

关键词： Bearing Defect Detection Feature Extraction Machine Learning

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乡村振兴战略下饲料行业助农路径探索

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中国饲料 2023年第6期 145-148页

作者：张自谦中共邢台市委党校河北邢台054000

随着我国乡村振兴战略的推行,中国农业农村发展逐渐成为国家关注的重点问题。为了助力农村发展,国家大力推行行业助农方案,通过行业的积极带动作用助力农村发展。饲料行业因具有从业门槛低、产业链与农村息息相关等特点,可以带动农村经... 详细信息

随着我国乡村振兴战略的推行,中国农业农村发展逐渐成为国家关注的重点问题。为了助力农村发展,国家大力推行行业助农方案,通过行业的积极带动作用助力农村发展。饲料行业因具有从业门槛低、产业链与农村息息相关等特点,可以带动农村经济可持续发展。但目前饲料行业在推进助农路径中仍存在一定的问题。文章通过论述乡村振兴战略下饲料行业助农的优势和问题,找到饲料行业助力农村发展行之有效的路径,促进农村健康可持续发展。

关键词：乡村振兴饲料行业助农路径探索

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Bearing Defect Detection Based on Acoustic Feature Extraction and Statistical Learning

Bearing Defect Detection Based on Acoustic Feature Extractio...

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作者： Di Wu Jinlong Sun Zhifeng Liu ziqian zhang Min Huang Zhongzhe Xiao School of Optoelectronic Science and Engineering Soochow University

Bearings are widely utilized as key components in industrial ***, the automatic and precise inspection of bearing defects is imperative for the manufacturing of the *** this paper, a novel defect detection method based on acoustics is proposed to further improve both the accuracy and the efficiency of the defection *** firstly constructed a labeled dataset composed of acoustic signals sampling from different bearings with a certain rotational *** is adopted to extract the acoustic features and the target acoustic feature dataset with 6373 features is *** further improve the efficiency of the proposed method, a feature selection strategy based on the chi-square test is adopted to eliminate the most inefficient *** statistical learning models are constructed and trained as the ***, the performance of classifiers is evaluated and achieves relatively high accuracy and efficiency with an extremely imbalanced dataset.

关键词： Bearing Defect Detection Feature Extraction Machine Learning

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