Transportation Safety and Environment最新文献_第5页

BLE Beacon-based floor detection for mobile robots in a multi-floor automation Laboratory 基于BLE信标的多层自动化实验室移动机器人地板检测

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-11 DOI: 10.1093/tse/tdad024

Haiping Wu, Hui Liu, T. Roddelkopf, K. Thurow

{"title":"BLE Beacon-based floor detection for mobile robots in a multi-floor automation Laboratory","authors":"Haiping Wu, Hui Liu, T. Roddelkopf, K. Thurow","doi":"10.1093/tse/tdad024","DOIUrl":"https://doi.org/10.1093/tse/tdad024","url":null,"abstract":"\u0000 As an important task of multi-floor localization, floor detection has elicited great attention. Wireless infrastructures like Wi-Fi and Bluetooth low-energy play important roles in floor detection. However, most floor detection research studies tend to focus on data modeling but pay little attention to the data collection system, which is the basis of wireless infrastructure-based floor detection. In fact, the floor detection task can be greatly simplified with proper data collection system design. In this paper, a floor detection solution is developed in a multi-floor life science automation lab. A data collection system consisting of BLE beacons, receiver node, and IoT cloud is provided. The features of the BLE beacon under different settings are evaluated in detail. A mean filter is designed to deal with the fluctuation of the RSSI data. A simple floor detection method without a training process was implemented and evaluated in more than 100 floor detection tests. The time delay and floor detection accuracy under different settings are discussed. Finally, floor detection is evaluated on the H20 multi-floor transportation robot. Two sensor nodes are installed on the robot at different heights. The floor detection performance with different installation heights is discussed. The experimental results indicate that the proposed floor detection method provides floor detection accuracy of 0.9877 to 1 with a time delay of 5 s.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42728982","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

Correcting of Unexpected Localization Measurement for Indoor Automatic Mobile Robot Transportation Based on neural network 基于神经网络的室内自动移动机器人运输非预期定位测量校正

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-05 DOI: 10.1093/tse/tdad019

Jiahao Huang, S. Junginger, Hui Liu, K. Thurow

引用次数: 1

Tunnel bottleneck management with high-occupancy vehicles priority on intelligent freeways 智能高速公路高占用率车辆优先的隧道瓶颈管理

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-05 DOI: 10.1093/tse/tdad022

Jinyong Gao, Juncheng Zeng, Xinyuan Wang, Cheng Zhou, Hailin Zhang, Jintao Lai

{"title":"Tunnel bottleneck management with high-occupancy vehicles priority on intelligent freeways","authors":"Jinyong Gao, Juncheng Zeng, Xinyuan Wang, Cheng Zhou, Hailin Zhang, Jintao Lai","doi":"10.1093/tse/tdad022","DOIUrl":"https://doi.org/10.1093/tse/tdad022","url":null,"abstract":"\u0000 Tunnels on freeways, as one of the critical bottlenecks, frequently cause severe congestion and passenger delay. To solve the tunnel bottleneck problem, most of the existing research can be divided into two types. One is to adopt Variable Speed Limits (VSL) to regulate a predetermined speed for vehicles to get through a bottleneck smoothly. The other is to adopt High-Occupancy Vehicle (HOV) lane management. In HOV lane management strategies, all traffic is divided into HOVs and Low-occupancy Vehicles (LOV). HOVs are vehicles with a driver and one or more passengers. LOVs are vehicles just with a driver. This kind of research can grant priority to HOVs by providing a dedicated HOV lane. However, the existing research cannot both mitigate congestion and maximize passenger-oriented benefits. To address the research gap, this paper leverages Connected and Automated Vehicle (CAV) technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a Dynamic HOV Lane (DHL). The strategy bears the following features: 1) enable tunnel bottleneck management at a microscopic level; 2) maximize passenger-oriented benefits; 3) grant priority to HOVs even when the HOV lane is open to LOVs; 4) allocate right-of-way segments for HOVs and LOVs in real time; 5) perform well in a mixed traffic environment. The proposed strategy is evaluated through comparison against the non-control baseline and a VSL strategy. Sensitivity analysis is conducted under different congestion levels and penetration rates. The results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs'priority level improvement.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42424135","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

Remaining useful life prediction for train bearing based on ILSTM network with adaptive hyperparameter optimization 基于自适应超参数优化ILSTM网络的列车轴承剩余使用寿命预测

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-05 DOI: 10.1093/tse/tdad021

Deqiang He, Jingren Yan, Zhenzhen Jin, Xueyan Zou, S. Shan, Zaiyu Xiang, Jian Miao

{"title":"Remaining useful life prediction for train bearing based on ILSTM network with adaptive hyperparameter optimization","authors":"Deqiang He, Jingren Yan, Zhenzhen Jin, Xueyan Zou, S. Shan, Zaiyu Xiang, Jian Miao","doi":"10.1093/tse/tdad021","DOIUrl":"https://doi.org/10.1093/tse/tdad021","url":null,"abstract":"\u0000 Remaining useful life (RUL) prediction for bearing is a significant part of the maintenance of urban rail transit trains. Bearing RUL is closely linked to the reliability and safety of train running, but the current prediction accuracy is difficult to meet the requirements of high reliability operation. Aiming at the problem, a prediction model based on improved long short-term memory(ILSTM) network is proposed. Firstly, the variational mode decomposition is used to process the signal, and the intrinsic mode function with stronger representation ability is determined according to energy entropy, and the degradation feature data is constructed combined with the time domain characteristics. Then, to improve learning ability, rectified linear unit (ReLU) is applied to activate a fully connected layer lying after LSTM, the hidden state outputs of the layer are weighted by attention mechanism. Harris hawks optimization algorithm is introduced to adaptively set the hyperparameters to improve the performance of LSTM. Finally, the ILSTM is applied to predict bearing RUL. Through experimental cases, the better performance in bearing RUL prediction and the effectiveness of each improving measures of the model are validated, and its superiority of hyperparameters setting is demonstrated.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61099120","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

Influence of leading-edge angle of subgrade on aerodynamic loads of high-speed train in wind tunnel 路基前缘角对高速列车风洞气动载荷的影响

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-05-04 DOI: 10.1093/tse/tdad020

Yang Zeyun, Xu Gang, Wu Fan, Zhang Lei, Du Jian, D. Vainchtein

引用次数: 0

Research on the navigational risk of liquefied natural gas carriers in an inland river based on entropy: a cloud evaluation model 基于熵云评价模型的内河液化天然气运输船航行风险研究

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-04-26 DOI: 10.1093/tse/tdad018

Chengyong Liu, Shijie Li, Shuzhe Chen, Qifan Chen, Kang Liu

{"title":"Research on the navigational risk of liquefied natural gas carriers in an inland river based on entropy: a cloud evaluation model","authors":"Chengyong Liu, Shijie Li, Shuzhe Chen, Qifan Chen, Kang Liu","doi":"10.1093/tse/tdad018","DOIUrl":"https://doi.org/10.1093/tse/tdad018","url":null,"abstract":"\u0000 Due to the flammability and explosive nature of liquefied natural gas (LNG), an extremely strict process is followed for the transportation of LNG carriers in China. Particularly, no LNG carriers are operating in inland rivers within the country. Therefore, to ensure the future navigation safety of LNG carriers entering the Yangtze River, the risk sources of LNG carriers' navigation safety must be identified and evaluated. Based on the Delphi and expert experience method, this paper analyzes and discusses the navigation risk factors of LNG carriers in the lower reaches of the Yangtze River from four aspects (human, ship, environment, and management), and identifies 12 risk indicators affecting the navigation of LNG carriers, and establishes a risk evaluation index system. Further, an entropy weight fuzzy model is utilized to reduce the influence of subjective judgment on the index weight as well as to conduct a segmented and overall evaluation of LNG navigation risks in the Baimaosha Channel. Finally, the cloud model is applied to validate the consistent feasibility of the entropy weight fuzzy model. The research results indicate that the method provides effective technical support for further study on the navigation security of LNG carriers in inland rivers.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48077048","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

Development and engineering application of integrated safety monitoring system for China's high-speed trains 中国高速列车综合安全监控系统的开发与工程应用

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-04-20 DOI: 10.1093/tse/tdad017

Zhuo Yan, Wang Tiantian, Shen Ruiyuan, Xie Jingsong, Yang Jingsong, Zhang Guoqin, Tian Hongqi, Liang Xifeng

{"title":"Development and engineering application of integrated safety monitoring system for China's high-speed trains","authors":"Zhuo Yan, Wang Tiantian, Shen Ruiyuan, Xie Jingsong, Yang Jingsong, Zhang Guoqin, Tian Hongqi, Liang Xifeng","doi":"10.1093/tse/tdad017","DOIUrl":"https://doi.org/10.1093/tse/tdad017","url":null,"abstract":"\u0000 With the improvement of the running speed of China's high-speed trains, the demands for running status monitoring and security assurance of High-speed Electric Multiple Units(EMU) have increased significantly. However, the current safety monitoring systems are independent, which is not conducive to the comprehensive monitoring and information sharing of the whole vehicle. The temperature monitoring of running gear is insensitive to early failures. How to develop a train operation safety monitoring system with strong engineering implementation and high integration is a key problem to be solved. For the monitoring of running stationarity, frame stability and running gear health of China's high-speed trains, an integrated safety monitoring system framework is designed, and the logic and algorithm for diagnosis of stationarity, stability and health states of rotating parts are constructed. A monitoring software which fused the temperature, high and low frequency vibration data is developed, and the design and installation of the vibration temperature composite sensors are completed. The research results have realized the integration and comprehensive processing of multiple monitoring systems, completed the improvement from single component and single vehicle level safety monitoring to multiple systems, vehicle level and interactive monitoring. In the process of real vehicle application, the developed monitoring system acquires the vehicle operation status data in real time and accurately. The constructed diagnosis algorithm and logic evaluate the vehicle operation status timely and accurately, and avoid the evolution from fault to accident. The research results show that the integrated safety monitoring system can provide technical support for train operation safety.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43677238","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

Emergency Management Capacity assessment for Urban Rail transit——An example of Beijing Metro Line 13 城市轨道交通应急管理能力评价——以北京地铁13号线为例

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-03-23 DOI: 10.1093/tse/tdad015

J. Liu, Yun-song Qi, W. Wang

{"title":"Emergency Management Capacity assessment for Urban Rail transit——An example of Beijing Metro Line 13","authors":"J. Liu, Yun-song Qi, W. Wang","doi":"10.1093/tse/tdad015","DOIUrl":"https://doi.org/10.1093/tse/tdad015","url":null,"abstract":"\u0000 In order to improve the emergency management capability of the urban rail transit system and reduce accidents during metro operation, an emergency management capability evaluation method combining theAnalytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. Based on the PPRR (Prevention Preparation Response Recovery) model, the factors influencing the emergency management capability of the urban rail transit system are summarized from the perspective of ‘human, machine, environment, and management’. Then, an emergency management capability evaluation index system containing 20 secondary indicators is constructed in four stages: emergency prevention, emergency preparation, emergency response, and emergency recovery. The weights of indicators are calculated using the AHP method, and the closeness of each indicator to the optimal solution is analyzed with the TOPSIS method. Finally, take the Beijing metro line 13 as an example to investigate the level of emergency management capability of urban rail transit. The results show that the emergency management capability of Beijing urban rail transit system is ‘well’, among which hazard prevention measures (0.31) and emergency response team (0.34) have a greater weight on the emergency management capability of rail transit. The model can more accurately assess the emergency management capability of urban rail transit and provide a basis for emergency event management.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42556396","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

Examining the characteristics between time and distance gaps of secondary crashes 考察二次碰撞的时间间隔和距离间隔特征

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-03-17 DOI: 10.1093/tse/tdad014

Xinyuan Liu, Jinjun Tang, Chen Yuan, Fan Gao, Xizhi Ding

{"title":"Examining the characteristics between time and distance gaps of secondary crashes","authors":"Xinyuan Liu, Jinjun Tang, Chen Yuan, Fan Gao, Xizhi Ding","doi":"10.1093/tse/tdad014","DOIUrl":"https://doi.org/10.1093/tse/tdad014","url":null,"abstract":"\u0000 Understanding the characteristics of time and distance gaps between the primary and second crashes is crucial for preventing secondary crash occurrences and improving road safety. Although previous studies have tried to analyze the variation of gaps, there is limited evidence in quantifying the relationships between different gaps and various influential factors. This study proposed a two-layer Stacking framework to discuss the time and distance gaps. Specifically, the framework took Random Forests, Gradient Boosting Decision Tree, and eXtreme Gradient Boosting as the base classifiers in the first layer and applied Logistic Regression as a combiner in the second layer. On this basis, the Local Interpretable Model-agnostic Explanations (LIME) technology was used to interpret the output of the Stacking model from both local and global perspectives. Through secondary crash identification and feature selection, 346 secondary crashes and 22 crash-related factors were collected from California interstate freeways. The results showed that the Stacking model outperformed base models evaluated by accuracy, precision, and recall indicators. The explanations based on LIME suggest that collision type, distance, speed, and volume are the critical features that affect the time and distance gaps. Higher volume can prolong queue length and increase the distance gap from the secondary to primary crashes. And collision types, peak periods, workday, truck involved, and tow away likely induce a long-distance gap. Conversely, there is a shorter distance gap when secondary roads run in the same direction and are close to the primary roads. Lower speed is a significant factor resulting in a long-time gap, while the higher speed is correlated with a short-time gap. These results are expected to provide insights into how contributory features affect the time and distance gaps and help decision-makers develop accurate decisions to prevent secondary crashes.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41849294","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

Adaptive composite anti-disturbance control for heavy haul trains 重载列车自适应复合抗干扰控制

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2023-03-11 DOI: 10.1093/tse/tdad009

Longsheng Chen, Hui Yang

引用次数: 0