{"title":"Effect of helmet wearing regulation on electric bike riders: a case study of two cities in China","authors":"Wenxin Ma, Zhiyong Liu, Ruimin Li","doi":"10.1093/tse/tdad038","DOIUrl":"https://doi.org/10.1093/tse/tdad038","url":null,"abstract":"Abstract Objectives Electric bikes (e-bikes) are widely used for commuting and delivery in China. With the rapid increase in e-bikes on the road, related accidents have become crucial issues threatening the public. This research aims to explore the protection effect of helmet wearing regulation and investigate some factors influencing head injury with reference to two case cities in China, obtaining enlightment to protect e-bike riders. Methods The traffic police-reported crash data cover the periods before and after the implementation of helmet wearing regulations in Taizhou (with data from 2017 to 2019) and Nanning (with data in 2020) of China. Preliminary statistical analysis, logistic regression and chi-square test with a Bonferroni correction were applied in the research. Results Lack of helmets was common among victims in the context of high helmet wearing rate among general e-bike riders in Taizhou, indicating that fatality could be avoided to some extent by wearing helmets. Specifically, helmet wearing could reduce the probability of suffering fatal head injury by 6.4%. After the regulation implementation in Taizhou, the fraction of fatal head injury decreased from 89% to 79%, remaining at a high level, which indicates that other measures in addition to helmet wearing regulation should be taken. According to the results of Nanning, mandatory regulation worked more effectively than encouraged regulation in terms of reducing head injury. Conclusions Mandatory helmet wearing regulation is highly recommended to policymakers to reduce head injury among e-bike riders. Measures in addition to helmet wearing regulation, e.g., enhancing law-abiding awareness and improving road infrastructure, should be considered to further protect e-bike riders.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134907558","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}
{"title":"Research on the stability of virtual coupling train formation based on PID controller under the influence of time delay","authors":"Sixuan Qiu, Ningzhou Li, Xiaojuan Wei, Gaosong Li","doi":"10.1093/tse/tdad037","DOIUrl":"https://doi.org/10.1093/tse/tdad037","url":null,"abstract":"Abstract As the latest research direction of train-to-train communication between trains, virtual coupling train formation technology has attracted the attention of many scholars. This paper studies the influence of time delay on the formation of virtual coupled trains. And then we proposed a distributed PID controller, which makes the trains can still form a stable fleet operation under the influence of communication delay and control delay. After modeling and analysis, the research uses Matlab to conduct simulation, involving two sets of experiments, including the speed, acceleration, position, position error, expected distance between adjacent trains and the actual distance between adjacent trains are simulated. The results demonstrate that the distributed PID controller can effectively control the impact of time delay on the virtual coupling fleet.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136292630","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}
Haiping Wu, Steffen Junginger, Thomas Roddelkopf, Hui Liu, Kerstin Thurow
{"title":"BLE Beacons for Sample Position Estimation in A Life Science Automation Laboratory","authors":"Haiping Wu, Steffen Junginger, Thomas Roddelkopf, Hui Liu, Kerstin Thurow","doi":"10.1093/tse/tdad033","DOIUrl":"https://doi.org/10.1093/tse/tdad033","url":null,"abstract":"Abstract Estimation of the sample position is essential for working process monitoring and management in the life science automation laboratory. Bluetooth low-energy (BLE) beacons have the advantage of low price, small size, and low-energy consumption, which make them a promising solution for sample position estimation in the automated laboratory. Several fingerprinting models have been proposed to achieve indoor localization with the received signal strength (RSS) data. However, most of the research depends on intensive beacon installation. Proximity estimation, which depends entirely on one beacon, is more suitable for sample position estimation in large automated laboratories. The complexity of the life science automation laboratory environment brings challenges to the traditional path loss model (PLM), which is a widely used radio wave propagation model-based proximity estimation method. In this paper, BLE sensing devices for sample position estimation are proposed. The BLE beacon-based proximity estimation is discussed in the framework of machine learning, in which the support vector regression (SVR) is utilized to model the nonlinear relationship between the RSS data and distance, and the Kalman filter is utilized to decrease the RSS data deviation. The experimental results over different environments indicate that the SVR outperforms the PLM significantly, and provides 1 m absolute errors for more than 95% of the testing samples. The Kalman filter brings benefits to stable distance predictions. Apart from proximity-based sample position estimation, the proposed framework turned out to be effective in position estimation between parallel workbenches and position estimation on an automated workstation.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135045580","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}
{"title":"A Novel Multi-state Bogie System Reliability Evaluation Approach by Extended <i>d</i>-MC Model for High Speed Train","authors":"Yong Fu, Ruoqu Liu, Jisheng Dai, Wenlong Zhu, Xin Liu, Yong Qin","doi":"10.1093/tse/tdad036","DOIUrl":"https://doi.org/10.1093/tse/tdad036","url":null,"abstract":"Abstract Bogie is a pivotal system and plays a critical part in the safety and reliability management of high speed rail. However, the available bogie system reliability analysis methods lack the consideration of multi-state characteristics, and the common multi-state reliability analysis methods, being an NP-hard problem, lead to a low efficiency. In order to overcome the mentioned drawbacks, this paper proposes a novel multi-state rail train bogie system reliability analysis approach based on the extended d-MC model. Three different function interactions within the bogie system are considered to build the multi-state bogie system flow network model. Meanwhile, an extended d-MC model is established to remove unnecessary d-MC candidates and duplicates, which greatly enhances the computing efficiency. The bogie system reliability is calculated, and the examples are provided. Numerical experiments are carried out for the different operational conditions of the bogie system and are used to testify the practicability of the method projected in this article, and is is found that the proposed method outperforms a newly developed method in solving the multi-state reliability problems.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136061784","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}
{"title":"Decision-Making Method for High-speed Rail Early Warning System in Complex Earthquake Situations","authors":"Minjia Tan, Qizhou Hu, Yikai Wu, Xin Fang","doi":"10.1093/tse/tdad034","DOIUrl":"https://doi.org/10.1093/tse/tdad034","url":null,"abstract":"Abstract To address the shortcomings in decision-making methods for ground motion threshold warning models in High-speed rail (HSR) earthquake early warning systems (HSREEWs), we propose a dual judgment method and corresponding early warning process for earthquake early warning decisions based on joint peak ground acceleration (PGA) and complex earthquake environmental risk evaluation (ERE) values. First, we analyze the characteristics of four complex earthquake environments based on the characteristics of HSR operating environments. Second, we establish an earthquake environmental risk evaluation index system and propose an adversarial interpretive structure modeling method-based complex earthquake situation evaluation model (AISM-based ESEM). The AISM method firstly evaluates the proximity by the TOPSIS method, then effectively rank targets with fuzzy attributes through opposite hierarchical extraction rules without sacrificing system functionality. Since PGA can reflect the current size of earthquake energy, combining PGA thresholds with ESEM-derived values of ERE can effectively determine the risk status of each train and make decisions on the most appropriate alarm form and control measures for that status. Finally, case analysis results under the background of Wenchuan Earthquake show that the new early warning decision-making method accurately assesses environmental risks in affected areas and provides corresponding warning levels as a supplement to existing HSREEWs warning models.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135395301","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}
Jing Huang, Wei Wei, Xiaoyan Peng, Lin Hu, Huiqin Chen
{"title":"Driver mental load identification model for adaptive urban road traffic scene","authors":"Jing Huang, Wei Wei, Xiaoyan Peng, Lin Hu, Huiqin Chen","doi":"10.1093/tse/tdac076","DOIUrl":"https://doi.org/10.1093/tse/tdac076","url":null,"abstract":"Abstract Objective At present, most research on driver mental load identification is based on a single driving scene. However, the driver mental load model established in a road traffic scene is difficult to adapt to the changes of the surrounding road environment during the actual driving process. We proposed a driver mental load identification model which adapts to urban road traffic scenarios. Methods The model includes a driving scene discrimination sub-model and driver load identification sub-model, in which the driving scene discrimination sub-model can quickly and accurately determine the road traffic scene. The driver load identification sub-model selects the best feature subset and the best model algorithm in the scene based on the judgement of the driving scene classification sub-model. Results The results show that the driving scene discrimination sub-model using five vehicle features as feature subsets has the best performance. The driver load identification sub-model based on the best feature subset reduces the feature noise, and the recognition effect is better than the feature set using a single source signal and all data. The best recognition algorithm in different scenarios tends to be consistent, and the support vector machine (SVM) algorithm is better than the K-nearest neighbors (KNN) algorithm. Conclusion The proposed driver mental load identification model can discriminate the driving scene quickly and accurately, and then identify the driver mental load. In this way, our model can be more suitable for actual driving and improve the effect of driver mental load identification.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135433412","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}
{"title":"GPS-based noise mapping of Ahmedabad city","authors":"Akshay Vinaychandra Vora, R. Vasani","doi":"10.1093/tse/tdac033","DOIUrl":"https://doi.org/10.1093/tse/tdac033","url":null,"abstract":"Noise mapping is an effective tool to measure noise. By noise mapping one can represent noise graphically. Noise mapping was carried out for Ahmedabad city. Data was collected at 633 different locations across the city. Latitude, longitude and real-time noise levels were noted at each location. ArcGIS software was used for creating noise maps and colour noise maps. The percentage of the city covered by the respective value of contour of noise was also found using the software, as well as the number of people in the city suffering from the respective levels of noise. Considering all the results, a multi-linear regression model was developed to predict noise, using SPSS statistics software. The developed model was analysed using an R2 test as well as a paired t-test.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139343415","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}
{"title":"A car-following model based on the optimized velocity and its security analysis","authors":"Rong Fei, Lu Yang, X. Hei, Bo Hu, Aimin Li","doi":"10.1093/tse/tdac077","DOIUrl":"https://doi.org/10.1093/tse/tdac077","url":null,"abstract":"\u0000 An enhanced optimal velocity model (EOVM) that considers driving safety is established to alleviate traffic congestion and ensure driving safety. Time headway is introduced as a criterion for determining whether the car is safe. When the time headway is less than the Minimum time headway (THmin ) or more than the most comfortable time headway(THcom), the acceleration constraints are discussed to ensure the model’s safety and maintain the following state. A stability analysis of the model was carried out to determine the stability conditions of the model. The EOVM is compared with the optimal velocity model (OVM) and fuzzy car-following model using the real dataset. Experiments show that the EOVM model has the smallest error in average, maximum, and median with the real dataset. To confirm the model’s safety, design fleet simulation experiments for three actual scenarios of starting, stopping, and uniform process.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46705860","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}
{"title":"Analysis of rail-bridge interaction of high-speed railway suspension bridge under near-fault pulse-type earthquakes","authors":"Xiangdong Yu, Bangzheng Jiang, Haiquan Jing","doi":"10.1093/tse/tdad032","DOIUrl":"https://doi.org/10.1093/tse/tdad032","url":null,"abstract":"\u0000 Due to the limitations of railway route selection, some high-speed railways are inevitably built near or across fault zones. To study the distribution of rail-bridge interaction under different load history states of suspension bridges under three types of near-fault pulse-type earthquakes, this paper takes China's longest high-speed railway suspension bridge—Wufengshan Yangtze River Bridge as the background and establishes a spatial model of rail-bridge interaction of suspension bridge. The results show that: under the constant load state, the distribution of additional force under three types of pulse-type earthquakes are generally consistent, pulse-type earthquakes produce more significant responses than non-pulse-type earthquakes, with fling-step pulse being the largest, it is advised to specifically consider the influence of the fling-step pulse in the calculation. Under the initial condition of the main beam temperature loading history, all rail-bridge additional forces increase significantly, particularly affecting the steel rail system. The value of the rail-bridge interaction additional force under the near-fault earthquake in the initial state of the suspension bridge when the train deflection load is loaded from the tower to the mid-span is more significant and particularly unfavorable. The initial effect of the braking load will weaken the effect of the deflection load loading history. The results of the study indicate the effect of the initial state of suspension bridges is an important factor influencing the rail-bridge interaction under near-fault pulse-type earthquakes, which needs to be considered in future seismic design.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45824337","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}
{"title":"A review of traffic behavior and intelligent driving at roundabouts based on microscopic perspective","authors":"Hao Jiang, Q. Shen, Aoxue Li, Chenhui Yin","doi":"10.1093/tse/tdad031","DOIUrl":"https://doi.org/10.1093/tse/tdad031","url":null,"abstract":"\u0000 The contradiction between the increasing traffic and the relatively poor roundabout infrastructure is getting stronger. The control and optimization of the macroscopic traffic flow need to be improved to resolve congestion and safety problems at roundabouts and the connected road network. In order to better understand the gaps and trends in this field, we have systematically reviewed the main research and developments in traffic phenomena, driving behavior, autonomous vehicles (AVs), intelligent connected vehicles, and real vehicle trajectory data sets at roundabouts. The study is based on 388 papers about roundabouts, selected through a comprehensive literature search. The review demonstrates that based on a microscopic perspective, sensing, prediction, decision-making, planning, and control aspects of AVs and intelligent connected vehicles can be designed and optimized to fundamentally and significantly improve traffic capacity and driving safety at roundabouts. However, the generation mechanism of traffic conflicts among traffic participants at roundabouts is complex, which is a tremendous challenge for the systematic design of AVs. Therefore, based on naturalistic driving data and machine learning theory, it is an important research direction to build driver models by learning and imitating human driver decision-making and driving behaviors.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44978500","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}