Transportation Safety and Environment最新文献

A maneuver indicator and ensemble learning-based risky driver recognition approach for highway merging areas 基于机动指标和集合学习的高速公路并线区域风险驾驶员识别方法

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-04-17 DOI: 10.1093/tse/tdae015

Xingliang Liu, Shuang Deng, Tangzhi Liu, Tong Liu, Song Wang

{"title":"A maneuver indicator and ensemble learning-based risky driver recognition approach for highway merging areas","authors":"Xingliang Liu, Shuang Deng, Tangzhi Liu, Tong Liu, Song Wang","doi":"10.1093/tse/tdae015","DOIUrl":"https://doi.org/10.1093/tse/tdae015","url":null,"abstract":"\u0000 Due to the complex traffic characteristics in highway merging areas, drivers tend to exhibit high-risk driving behaviors. To address the characteristics of driving behavior in highway merging areas, we have developed a real-time identification model for risky drivers by combining a driver risk level labeling method with load balancing-ensemble learning (LB-EL). In this paper, we explore four types of maneuver indicator indexes (MIIs)—acute direction, stomp pedal, dangerous following, and dangerous lane changing—that can describe the negative behaviors of both individual vehicles and vehicle platoons in highway merging areas. To quantize the label driver risk level, we use the interquartile range (IQR) method and Criteria Importance Though Intercriteria Correlation (CRITIC), while we evaluate the reliability of the MII using spatial analysis. Furthermore, we balance the dataset using three load balancing (LB) algorithms and create nine ensemble strategies by pairing adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and light gradient boosting machine (LGBM) with the three LB algorithms. Finally, we validate the proposed model using trajectory data extracted from UAV videos. The results indicate that the distribution laws of risky driving behaviors in the acute direction and stomp pedal show a high degree of similarity and good matching with the distribution laws of traffic conflict points in existing research. Moreover, the SMOTE-LGBM ensemble model achieves the best performance, reaching an accuracy rate of 93.4% and a recall rate of 92.1%, which demonstrates the validity of our proposed model. This model can be widely applied to recognize risky drivers in video-based surveillance systems.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692561","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

Unraveling the veil of traffic safety: A comprehensive analysis of factors influencing crash frequency across U.S. States 揭开交通安全的面纱：全面分析影响美国各州交通事故频率的因素

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-04-13 DOI: 10.1093/tse/tdae016

M. Obeidat, Rahma Mohammad Obeidat, F. Dweiri

引用次数: 0

An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in Hunan province 基于湖南省某县级地区发生的车对车两轮摩托车事故的 ADAS 测试场景调查

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-27 DOI: 10.1093/tse/tdae013

Honggang Wang, Xinghua Wang, Yong Peng, Xin Lou, Zaining Li

{"title":"An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in Hunan province","authors":"Honggang Wang, Xinghua Wang, Yong Peng, Xin Lou, Zaining Li","doi":"10.1093/tse/tdae013","DOIUrl":"https://doi.org/10.1093/tse/tdae013","url":null,"abstract":"\u0000 To meet the requirements for high-risk testing scenarios in the safety assessment of advanced driver assistance systems (ADAS), this study selected 239 vehicle-to-powered two-wheeler accidents occurring in Xiangtan County from the China In-depth Mobility Safety Study—Traffic Accident (CIMSS-TA) database. Seven scenario elements were selected from the levels of static road elements, dynamic traffic participants and environment elements. The accident characteristics were obtained through statistical analysis. The results showed 75.73% of accidents occurred at T-junctions/intersections, and 34.73% of accidents were caused by the visual obstructions. Six typical vehicle-to-powered two-wheeler crash scenarios were established by cluster analysis, including two straight road scenarios (scenario 3 and 6), two T-junction scenarios (scenario 1 and 5), and two intersection scenarios (scenario 2 and 4). Furthermore, six vehicle-to-powered two-wheeler testing scenarios, which represent the traffic environment characteristics of Chinese county-level districts, were constructed by analyzing the vehicle/PTW speed, the first collision point of vehicle, obstacle type and location, etc. The results showed the vehicle speed in scenario 4 was higher than that in scenario 2, with the average values of 34.32 km/h and 21.99 km/h, respectively. The results of this study provided testing scenarios for the safety assessment of ADAS, and contributed to improving the vehicle active safety technology.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374819","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

Research on intelligent fault diagnosis for railway point machines using deep reinforcement learning 利用深度强化学习的铁路点机械智能故障诊断研究

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-21 DOI: 10.1093/tse/tdae007

Shuai Xiao, Qingsheng Feng, Hong Li, Xue Li

{"title":"Research on intelligent fault diagnosis for railway point machines using deep reinforcement learning","authors":"Shuai Xiao, Qingsheng Feng, Hong Li, Xue Li","doi":"10.1093/tse/tdae007","DOIUrl":"https://doi.org/10.1093/tse/tdae007","url":null,"abstract":"\u0000 The advanced diagnosis of faults in railway point machines is momentous to ensure the efficient and stable operation of the turnout conversion system. Numerous mature deep learning methods have been extensively applied in this domain. While robust perception has yielded excellent diagnostic outcomes, the deficiency in decision-making capability has led to a lack of overall intelligence. To deal with this, this study proposes an end-to-end deep reinforcement learning (DRL) framework for diagnosing faults in railway point machines. Firstly, a one-dimensional convolutional neural network (1DCNN) is used for the automatic extraction of features from the current signal. Subsequently, the deep Q network (DQN) algorithm is introduced as the core of the diagnostic framework. This involves designing an interactive environment for fault classification and optimizing the agent training network. Finally, leveraging fault data, the agent and the environment engage in continuous interactive learning to produce the ideal classification policy. Multiple comparative experiments are conducted to validate the proposed method. The results demonstrate that the diagnostic accuracy reaches 98.41%, and the average accuracy after many iterations is as high as 99.12%. Notably, this research introduces a creative application of DRL to address the challenge of diagnosing faults in railway point machines. The incorporation of decision thought effectively enhances the intelligence of fault diagnosis.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140221333","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

Tank level robust control of LNG carrier based on hyperbolic tangent function nonlinear modification 基于双曲正切函数非线性修正的液化天然气运输船储罐液位稳健控制

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-14 DOI: 10.1093/tse/tdae010

Zongkuo Li, Xianku Zhang, Junpeng Huang

{"title":"Tank level robust control of LNG carrier based on hyperbolic tangent function nonlinear modification","authors":"Zongkuo Li, Xianku Zhang, Junpeng Huang","doi":"10.1093/tse/tdae010","DOIUrl":"https://doi.org/10.1093/tse/tdae010","url":null,"abstract":"\u0000 \u0000 \u0000 To achieve better control effect of the controller on the liquid level of LNG carrier and achieve the goal of energy saving and carbon reduction.\u0000 \u0000 \u0000 \u0000 This paper took the loaded square tank of an S175 high-speed container ship as the research plant, combined with the closed-loop gain-shaping algorithm (CGSA) and nonlinear modification technology to further optimize the controller. We initially employed a third-order CGSA approach in formulating the foundation of our linear controller. Subsequently, we introduced a non-linear modification to this controller by harnessing the power of the hyperbolic tangent function, and the control effect is verified by the MATLAB simulation experiment.\u0000 \u0000 \u0000 \u0000 Based on the outcomes of our MATLAB simulations, by integrating the third-order CGSA technique and introducing non-linear modification through the hyperbolic tangent function, we observed a significant enhancement in the controller's performance. Specifically, it outperformed the traditional PID controller by a substantial margin, demonstrating a remarkable 19% boost in control efficacy. Additionally, it provides better energy savings than the non-linear controller.\u0000 \u0000 \u0000 \u0000 The controller designed in this paper has a better control effect on liquid tank level control of LNG ships, the control process is more energy-saving, and the purpose of carbon reduction is realized.\u0000","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140244409","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 variable time headway model for mixed car-following process considering multiple front vehicles information in foggy weather 大雾天气下考虑多辆前车信息的混合跟车过程的可变时间车距模型

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-14 DOI: 10.1093/tse/tdae011

Ziwei Liang, Mingbao Pang

{"title":"A variable time headway model for mixed car-following process considering multiple front vehicles information in foggy weather","authors":"Ziwei Liang, Mingbao Pang","doi":"10.1093/tse/tdae011","DOIUrl":"https://doi.org/10.1093/tse/tdae011","url":null,"abstract":"\u0000 The aim of this work is to investigate the Fog-related variable time headway (FVTH) model of connected and automated mixed flow considering multi-front vehicles information in a reduced visibility environment for driving safety. The car-following modes of mixed vehicles are analysed and the vehicle ratio for each mode based on Markov chain models is derived, where the number of front vehicles, CAVs penetration rate, and platoon intensity are considered. The combined coupling effect of visibility and driving speed on time headway is explored, and a variable time headway strategy is proposed. Their relationship equations are deduced as the FVTH model. The perturbation method is used to discuss the stability of traffic flow and obtain its stability judgment conditions. The proposed model was validated and the effects were discussed via simulation experiments. The results indicate that the acceleration and deceleration times of vehicles and collision possibility decrease significantly using the proposed method. When penetration rate is 50%, the number of front vehicles is three and platoon intensity is zero, the time to return to a stable state is reduced by 18.9%-30.3% and 24.7%-39.4%, respectively, and Time Exposed Time-to-collision (TET) is reduced by 26.1%-48.9% and 43.7%%-65.4%, respectively, compared with the basic IDM method and IDM method that considers multi-front vehicles information. As visibility decreases, the reduced degree of these indicator values increases. The driving efficiency and safety level can be enhanced.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140244033","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

The electric vehicle routing problem of a new mobile charging service 新型移动充电服务的电动汽车路由问题

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-13 DOI: 10.1093/tse/tdae012

Kanghui Ren, Maosheng Li, Xuekai Cen, Helai Huang

{"title":"The electric vehicle routing problem of a new mobile charging service","authors":"Kanghui Ren, Maosheng Li, Xuekai Cen, Helai Huang","doi":"10.1093/tse/tdae012","DOIUrl":"https://doi.org/10.1093/tse/tdae012","url":null,"abstract":"\u0000 A novel mobile charging service that utilizes vehicle-to-vehicle (V2V) charging technology has recently been proposed as a supplement to fixed charging infrastructure (CI), enabling electric vehicles (EVs) to exchange electricity. This study formulates a vehicle routing problem (VRP) of vehicle-to-vehicle (V2V) charging, optimizing the routing of DVs to service RVs while taking into account their willingness to join the V2V charging platform. A mixed integer linear programming (MILP) model is established to optimize the VRP-V2V (i.e. the VRP of V2V charging), which is known to be NP-hard. To solve large-scale instances for real-world applications, we propose an adaptive large neighborhood search (ALNS) algorithm, which, when combined with the structure of the VRP-V2V problem, utilizes four local search procedures to enhance solution quality following destroy and repair operators. Results indicate that the proposed ALNS algorithm outperforms the optimization solver CPLEX in small-scale instances, and can solve large-scale instances that are infeasible using CPLEX solver. In a numerical analysis of Changsha's large-scale network, we demonstrate that the V2V platform can save an average of 33.1% on the charging cost of recharging vehicles, hence raising customer satisfaction with charging services and reducing range anxiety. The platform's profitability is also increased by using V2V charging in areas lacking fixed charging infrastructure.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140248173","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

Resilience analysis of maritime transportation networks: A systematic review 海运网络的复原力分析：系统回顾

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-07 DOI: 10.1093/tse/tdae009

Di Zhang, Jiale Tao, C. Wan, Liang Huang, Ming Yang

引用次数: 0

Traffic Volume Imputation Using Attention-based Spatiotemporal Generative Adversarial Imputation Network 使用基于注意力的时空生成式对抗推算网络进行交通量推算

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-06 DOI: 10.1093/tse/tdae008

Yixin Duan, Chengcheng Wang, Chao Wang, Jinjun Tang, Qun Chen

{"title":"Traffic Volume Imputation Using Attention-based Spatiotemporal Generative Adversarial Imputation Network","authors":"Yixin Duan, Chengcheng Wang, Chao Wang, Jinjun Tang, Qun Chen","doi":"10.1093/tse/tdae008","DOIUrl":"https://doi.org/10.1093/tse/tdae008","url":null,"abstract":"\u0000 With the increasing development of intelligent detection devices, a vast amount of traffic flow data can be collected from intelligent transportation systems. However, these data often encounter issues such as missing and abnormal values, which can adversely affect the accuracy of future tasks like traffic flow forecasting. To address this problem, this paper proposes the Attention-based Spatiotemporal Generative Adversarial Imputation Network (ASTGAIN) model, comprising a generator and a discriminator, to conduct traffic volume imputation. The generator incorporates an information fuse module, a spatial attention mechanism, a causal inference module, and a temporal attention mechanism, enabling it to capture historical information and extract spatiotemporal relationships from the traffic flow data. The discriminator features a Bidirectional Gated Recurrent Unit (BiGRU), which explores the temporal correlation of the imputed data to distinguish between imputed and original values. Additionally, we have devised an imputation filling technique that fully leverages the imputed data to enhance the imputation performance. Comparison experiments with several traditional imputation models demonstrate the superior performance of the ASTGAIN model across diverse missing scenarios.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140078484","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

Effects of Reynolds number on train aerodynamics considering the air compressibility: A wind tunnel study 考虑到空气可压缩性，雷诺数对列车空气动力学的影响：风洞研究

IF 2.2 4区工程技术

Transportation Safety and Environment Pub Date : 2024-03-05 DOI: 10.1093/tse/tdae006

Zhixiang Huang, Wenhui Li, Li Chen

{"title":"Effects of Reynolds number on train aerodynamics considering the air compressibility: A wind tunnel study","authors":"Zhixiang Huang, Wenhui Li, Li Chen","doi":"10.1093/tse/tdae006","DOIUrl":"https://doi.org/10.1093/tse/tdae006","url":null,"abstract":"\u0000 The study on Reynolds number (Re) effects is crucial for high-speed trains for optimizing the aerodynamics, enhance safety, and reduce energy consumption. In this paper, a wind tunnel test was carried out to investigate the influence of Re on the train aerodynamic performance considering the shift of the air compressibility, which has not yet been explored to date. The test was conducted in a low-speed & large-scale tunnel with a stationary floor and the vehicle model was based on a 1/8th scaled train with 3 units. The Re ranges from Re=0.75×106∼ Re=3.12×106 by accelerating the uniform wind speed from U=27.8 m/s to U=115 m/s with zero-yaw. The Mach number (Ma) of the maximum speed scenario has exceeded 0.3, indicating that the airflow can be considered as compressible range. The results show that the aerodynamic characteristics of high-speed trains exhibit a self-similarity region of the Re, which is dependent on the flow velocity. The aerodynamic loads little changes when the Re ≥ 1.51×106, which corresponds U ≥55.6 m/s. Therefore, the compressibility of the airflow within the range up to U=115 m/s has a negligible effect on aerodynamic loads, thus can be disregarded. However, the surface pressure significantly decreases when the incoming flow surpasses 0.3Ma and transitions into a compressible state. While the compressibility has a relatively minor impact on macroscopic aerodynamics, it cannot be overlooked when considering detailed flow field, such as surface pressure.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140078797","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