Transportation Safety and Environment最新文献_第4页

Quantitative measurement and application of droplets on physical surfaces based on LIF technology 基于LIF技术的液滴在物理表面的定量测量及应用

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-06-09 DOI: 10.1093/tse/tdad030

Fan Wu, Shuaixiong Zhou, Qingmin Cui, R. Xu, Hengkui Li, Chao Yu

{"title":"Quantitative measurement and application of droplets on physical surfaces based on LIF technology","authors":"Fan Wu, Shuaixiong Zhou, Qingmin Cui, R. Xu, Hengkui Li, Chao Yu","doi":"10.1093/tse/tdad030","DOIUrl":"https://doi.org/10.1093/tse/tdad030","url":null,"abstract":"\u0000 Contaminated surfaces play a significant role in the transmission of respiratory infectious diseases. To address this issue, we presented a novel quantitative detection method for droplets on physical surfaces, based on Laser-Induced Fluorescence (LIF) technique. The proposed detection method was demonstrated in a realistic high-speed train compartment scenario by simulating the process of droplet release during passengers' breathing and coughing. The experimental results showed that this method could offer high precision (10−1 mg/m2) for detecting minute substance concentrations, and its ease of operation makes it suitable for complex engineering environments. The results also revealed that under the combined effects of the indoor airflow and breathing airflow, the range of droplets released by breathing activity exceeded two rows in front and behind the release position. Simultaneously, we observed that a large number of droplets settled on the seat surfaces on both sides of the same row as the releaser, with over 36% of these droplets concentrated on the backrest area of the seats. As the respiratory jet velocity increased, the location with the most sediment droplets (accounting for 8% of the total sedimentation) occurred on the seat directly in front of the releaser, and approximately 48% of the droplets were found on the back of this seat. Our proposed method overcomes the shortcomings of existing experimental methods in quantitatively capturing the motion characteristics of droplets in complex flow fields.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45887025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Event-triggered adaptive finite time trajectory tracking control for Underactuated Vessel considering unknown time-varying disturbances 考虑未知时变扰动的欠驱动船舶事件触发自适应有限时间轨迹跟踪控制

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-06-09 DOI: 10.1093/tse/tdac078

Qiwen Wang, Qiang Zhang, Yugang Wang, Yancai Hu, Shaoyi Guo

{"title":"Event-triggered adaptive finite time trajectory tracking control for Underactuated Vessel considering unknown time-varying disturbances","authors":"Qiwen Wang, Qiang Zhang, Yugang Wang, Yancai Hu, Shaoyi Guo","doi":"10.1093/tse/tdac078","DOIUrl":"https://doi.org/10.1093/tse/tdac078","url":null,"abstract":"\u0000 This paper aims to solve the finite-time trajectory tracking problem of underactuated surface ships under the influence of dynamic uncertainty, unknown external time-varying interference and limited communication resources, an event-triggered robust adaptive finite-time trajectory tracking control method for underactuated ships is designed by combing the existing trajectory tracking control methods and engineering needs in actual navigation. It can obviously improve the tracking accuracy of the ship, and complete the tracking task safely and efficiently. This scheme transforms the composite uncertain vector synthesized by uncertain parameters and external disturbances into a linear parameterized form. Next, considering the limitation of communication resources, a relative threshold event triggering mechanism is introduced to further extend the triggering time interval on the basis of the fixed threshold triggering scheme. Then, an event-triggered robust adaptive finite-time trajectory tracking control scheme is designed for underactuated ships, and a rigorous stability proof is provided for the finite-time trajectory tracking control scheme designed above through Lyapunov stability theory. Simulation experiment is carried out in MATLAB and the results show that the finite-time trajectory tracking control scheme proposed in this paper can effectively solve the problems of dynamic uncertainty, unknown time-varying interference from the outside world, and limitation of communication resources. This paper can provide theoretical support for the autonomous navigation of intelligent ships.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46205356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Four-channel broadband compact multi-antenna GNSS downconverter for high-reliability navigation 用于高可靠性导航的四通道宽带紧凑型多天线GNSS下变频器

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-06-01 DOI: 10.1093/tse/tdad029

Riyan Wang, Bin Li, Hongyin He, Kunming Yang, Wei Feng, Zhijian Chen

{"title":"Four-channel broadband compact multi-antenna GNSS downconverter for high-reliability navigation","authors":"Riyan Wang, Bin Li, Hongyin He, Kunming Yang, Wei Feng, Zhijian Chen","doi":"10.1093/tse/tdad029","DOIUrl":"https://doi.org/10.1093/tse/tdad029","url":null,"abstract":"\u0000 A high-reliability broadband high-linearity down-converter for multi-antenna Global Navigation Satellite System (GNSS) receiver is presented in this paper. Based on direction-of-arrival estimation, the multi-antenna GNSS receiver can separate the GNSS signals from the interfering signals and suppress harmful wideband radio frequency (RF) interferences. To drive the off-chip 50Ω resistive load and meet the stringent requirements of linearity, a quad-channel down-converter with a broadband common-gate low-noise transconductance amplifier (LNTA), current-driven passive mixer and novel bridge mode transimpedance driving amplifier has been proposed to contruct the multi-antenna receiver. The operating frequency of this down-converter is from 1.15 to 1.65 GHz, covering all bands for GPS/BDS/GLONASS/Galileo. The measured results show that the proposed quad-channel down-converter achieves +38 dBm output 3rd order intercept point (OIP3) and +17 dBm OP1dB (output-referred 1 dB compression point), 9.5–12.9 dB noise Fig. (NF) across the variable gain of 10-27 dB, and approximately 47 dB channel isolation.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43575362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning noise exposure detection of rail transit driver using heart rate variability 基于心率变异性的轨道交通驾驶员噪声暴露机器学习检测

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-31 DOI: 10.1093/tse/tdad028

Zhiqiang Sun, Haiyue Liu, Yubo Jiao, Chenyang Zhang, Fang Xu, Chaozhe Jiang, Xiaozhuo Yu, Gang Wu

{"title":"Machine learning noise exposure detection of rail transit driver using heart rate variability","authors":"Zhiqiang Sun, Haiyue Liu, Yubo Jiao, Chenyang Zhang, Fang Xu, Chaozhe Jiang, Xiaozhuo Yu, Gang Wu","doi":"10.1093/tse/tdad028","DOIUrl":"https://doi.org/10.1093/tse/tdad028","url":null,"abstract":"\u0000 Previous studies have found that drivers’ physiological conditions can deteriorate under noise conditions, which poses a potential hazard when driving. As a result, it is crucial to identify the status of drivers when exposed to different noises. However, such explorations are rarely discussed with short-term physiological indicators, especially for rail transit drivers. In this study, an experiment involving 42 railway transit drivers was conducted with a driving simulator to assess the impact of noise on drivers’ physiological responses. Considering the individuals’ heterogeneity, this study introduced drivers’ noise annoyance to measure their self-noise-adaption. The variances of drivers’ heart rate variability (HRV) along with different noise adaptions are explored when exposed to different noise conditions. Several machine learning approaches (Support Vector Machines, K-nearest Neighbors, and Random Forests) were then used to classify their physiological status under different noise conditions according to the HRV and drivers’ self-noise adaptions. Results indicate that the volume of traffic noise negatively affects drivers’ performance in their routines. Drivers with different noise adaptions but exposed to a fixed noise were found with discrepant HRV, demonstrating that noise adaption is highly associated with drivers’ physiological status under noises. It is also found that noise adaption inclusion could raise the accuracy of classifications. Overall, the Random Forests classifier performed the best in identifying the physiological status when exposed to noise conditions for drivers with different noise adaptions.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47075315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A flexible model-free tram signal priority method with a large coordination scope in China 一种灵活的、协调范围大的无模型电车信号优先排序方法

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-27 DOI: 10.1093/tse/tdad027

Shan Wang

引用次数: 0

Lane-changing trajectory prediction based on multi-task learning 基于多任务学习的变道轨迹预测

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-18 DOI: 10.1093/tse/tdac073

Xianwei Meng, Jinjun Tang, Fang Yang, Zhe Wang

{"title":"Lane-changing trajectory prediction based on multi-task learning","authors":"Xianwei Meng, Jinjun Tang, Fang Yang, Zhe Wang","doi":"10.1093/tse/tdac073","DOIUrl":"https://doi.org/10.1093/tse/tdac073","url":null,"abstract":"\u0000 As a complex driving behavior, lane-changing (LC) behavior has a great influence on traffic flow. Improper lane-changing behavior often leads to traffic accidents. Numerous studies are currently being conducted to predict lane change trajectories to minimize dangers. However, most of their models focus on how to optimize input variables without considering the interaction between output variables. This study proposes a LC trajectory prediction model based on a multi-task deep learning framework to improve driving safety. Concretely, in this work, the coupling effect of lateral and longitudinal movement is considered in the LC process. Trajectory changes in two directions will be modeled separately, and the information interaction is completed under the multi-task learning framework. In addition, the trajectory fragments are clustered by the driving features, and trajectory type recognition is added to the trajectory prediction framework as an auxiliary task. Finally, the prediction process of lateral and longitudinal trajectory and LC style is completed by Long Short-Term Memory (LSTM). The model training and testing are conducted with the data collected by the driving simulator, and that the proposed method expresses better performance in the LC trajectory prediction compared with several traditional models. The result showed in this study can enhance the trajectory prediction accuracy of Advanced Driving Assistance System (ADAS) and reduce the traffic accidents caused by lane changes.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43799074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ride-hailing origin-destination demand prediction with spatiotemporal information fusion 时空信息融合的叫车始发地需求预测

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-18 DOI: 10.1093/tse/tdad026

Ning Wang, Liang Zheng, Huitao Shen, Shukai Li

引用次数: 1

Effects of the windshield inclination angle on head/brain injuries in car-to-pedestrian collisions using computational biomechanics models 基于计算生物力学模型的汽车与行人碰撞中挡风玻璃倾角对头部/脑损伤的影响

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-16 DOI: 10.1093/tse/tdad016

Fang Wang, Mingliang Wang, Lin Hu, Ke Peng, Jiajie Yin, Danqi Wang, Liangliang Shi, Zhou Zhou

{"title":"Effects of the windshield inclination angle on head/brain injuries in car-to-pedestrian collisions using computational biomechanics models","authors":"Fang Wang, Mingliang Wang, Lin Hu, Ke Peng, Jiajie Yin, Danqi Wang, Liangliang Shi, Zhou Zhou","doi":"10.1093/tse/tdad016","DOIUrl":"https://doi.org/10.1093/tse/tdad016","url":null,"abstract":"\u0000 Car-to-pedestrian collision (CPC) accidents occur frequently, and pedestrians often suffer serious head/brain injuries. One major cause is the primary impact with the windshield. Here, we use a numerical simulation method to study the influence of the windshield inclination angle of a passenger car on pedestrian head/brain injury due to CPC accidents. The range of the windshield inclination angle was set to 24°–50°, with an interval of 2°. The results show that the windshield angle significantly affects the pedestrian kinematics and exerts different effects on the head injury when evaluating with various head injury criteria. Regarding the head peak linear/rotational acceleration and acceleration-based criteria head injury criterion (HIC)/rotational injury criterion (RIC), the predictions at the secondary impact stage have no clear relationship with the windshield angle (R2 = 0.04, 0.07, 0.03 and 0.26, respectively), and their distributions are scattered. In the primary impact, the peak linear acceleration and HIC show a weak trend of first decreasing and then increasing with the increasing of the windshield angle, and the rotational acceleration and RIC tend to remain relatively constant. Regarding the cumulative strain damage measure (CSDM) criterion, the predictions at the primary impact are slightly lower than those at the secondary impact, and the trend of first decreasing and then increasing with the increase in the windshield angle is observed at both impact stages. When the windshield inclination angle is approximately 32°–40°, the head injury severity in both impact phases is generally lower than that predicted at other windshield angles.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43056437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low complexity model predictive control of four-level active neutral point clamped inverter without weighting factors 无权重因子的四电平有源中性点箝位逆变器低复杂度模型预测控制

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-16 DOI: 10.1093/tse/tdad023

Chaoqun Xiang, Ziyin Fan, Songyang Jiang, Xinan Zhang, Shu Cheng

引用次数: 0

Factors affecting college students’ attitudes toward carpooling 影响大学生拼车态度的因素

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-13 DOI: 10.1093/tse/tdad025

Linchao Li, Huali Zhang, Zuoxian Gan

{"title":"Factors affecting college students’ attitudes toward carpooling","authors":"Linchao Li, Huali Zhang, Zuoxian Gan","doi":"10.1093/tse/tdad025","DOIUrl":"https://doi.org/10.1093/tse/tdad025","url":null,"abstract":"\u0000 As a sustainable mode of travel, carpooling is an effective solution to environmental and energy problems, but carpooling has not been fully utilized. The research on carpooling attitude, especially for college students, still needs to be improved. In response to this problem, this paper aims to investigate the effect of personal attributes, travel attributes, attitude attributes, and other attributes of students on carpooling attitudes in China. To collect the data, an online questionnaire survey was implemented at Shenzhen University, and 514 students participated. Based on the samples, the multinomial logit model is used to explore the contribution of all variables. The model results showed that personal attributes such as gender and age had no significant effect on the attitude of college students toward carpooling. The safety of carpooling and the high cost of carpooling make college students have a neutral attitude towards carpooling. The most concerning factor for college students in carpooling is the comfort of carpooling. These findings can provide valuable suggestions for measures to be taken in response to different attributes affecting students’ attitudes and are particularly important for the university and government to make optimal decisions for motivating students to select carpooling.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43638393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0