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2019 5th International Conference on Transportation Information and Safety (ICTIS)最新文献

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Research on Forward Collision Warning System Based on Connected Vehicle V2V Communication 基于车联网V2V通信的前方碰撞预警系统研究
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883534
Tangtao Yang, Yi Zhang, Jiwen Tan, T. Qiu
In this paper, a Forward Collision Warning (FCW) system based on Dedicated Shortrange Communications (DSRC) technology is built to improve vehicle driving safety and reduce traffic accidents. When the Time to Collision (TTC) and the Collision Avoidance Range (CAR) system calculated show that the vehicle is in danger of collision, the driver will be alerted via the voice and visual interface. In order to evaluate the safety and reliability of the warning system, several groups of field experiments were carried out to test the system performance, including the positioning accuracy of Differential GPS (DGPS), the communication quality of DSRC and the trigger of FCW system. We confirm the operation of the FCW system.
为了提高车辆行驶安全性,减少交通事故的发生,本文构建了一种基于专用近距离通信(DSRC)技术的前方碰撞预警(FCW)系统。当计算出的碰撞时间(TTC)和碰撞避免距离(CAR)系统显示出车辆存在碰撞危险时,系统将通过语音和视觉界面向驾驶员发出警报。为了评估预警系统的安全性和可靠性,开展了多组现场试验,对系统的性能进行了测试,包括差分GPS (DGPS)的定位精度、DSRC的通信质量和FCW系统的触发。我们确认FCW系统的运行。
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引用次数: 7
Panoramic reconstruction of central green belt of different levels of highway based on UAV platform 基于无人机平台的不同层次高速公路中央绿化带全景重建
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883772
T. Duan, L. Sang, P. Hu, Ronggao Liu, Lin Wang
In order to reconstruct the panoramic model and extract plant community structure characteristics rapidly and accurately for the highway central green belt, a method for rapidly acquiring images of the targets highway central green belt using quad rotor unmanned aerial vehicle (UAV) and digital image processing techniques is explored. It has the advantages of real-time, high flexibility and low cost to obtain the plant information of the green belt in the middle of the road based on the low-altitude unmanned aerial vehicle. The results show that the images acquired with a lower flight height (30 m and 50 m) can be used to produce rather high quality Ortho-mosaic, 3D point cloud reconstruction and ideal digital surface model. The density of 3D reconstruction point cloud for the target sections is even, and the single-pixel resolution of the ortho-mosaic image can reach 0.67 cm and 1.0 cm, respectively. Thus, it can be seen that the UAV platform can obtain high-precision panoramic reconstruction of monitoring areas with different road types.
为了快速准确地重建高速公路中心绿化带的全景模型,提取植物群落结构特征,探索了一种利用四旋翼无人机和数字图像处理技术快速获取目标高速公路中心绿化带图像的方法。基于低空无人机的路中绿化带植物信息获取具有实时性、灵活性高、成本低等优点。结果表明,在较低的飞行高度(30 m和50 m)下获取的图像可用于高质量的正交拼接、三维点云重建和理想的数字表面模型。目标切片三维重建点云密度均匀,正射影拼接图像的单像素分辨率分别达到0.67 cm和1.0 cm。由此可见,该无人机平台可以获得不同道路类型监控区域的高精度全景重建。
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引用次数: 2
A Low-cost Simultaneous Localization And Mapping Algorithm For Last-mile Indoor Delivery 最后一英里室内配送的低成本同步定位与映射算法
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883749
Wenming Wang, Wei Zhao, Xiaohan Wang, Zhihong Jin, Yuanchen Li, Troy Runge
With the development of e-commerce, more and more express packages need to be delivered. The Last-mile indoor task always takes most time of a whole delivery due to the complex and unfamiliar indoor environment. Generally, there aren’t enough existing indoor localization algorithms that are able to meet the business needs. To benefit the public, in this paper, an advanced low-cost and accurate intelligent localization and mapping algorithm is proposed. Three strengths, according to the experiment results, are concluded. First, the algorithm could run on Android devices, and it is able to save the cost of infrastructure as well as battery resources. Second, the algorithm can achieve an accuracy of less than 5cm, which is enough for general commercial purposes. Last, the system could intelligently shift the sensors between the Inertial Measurement Unit (IMU) sensors and the camera. To test our algorithm, we used the robot to execute the delivery of an indoor mailbox, obtaining a result of high accuracy (>95%) and low battery cost (saving more than 56%). Our algorithm is possible to be deployed in autonomous delivery vehicles or drones to provide last-mile delivery service.
随着电子商务的发展,越来越多的快递包裹需要投递。由于室内环境的复杂和不熟悉,最后一英里的室内配送往往占据整个配送过程的大部分时间。一般来说,现有的室内定位算法不足以满足业务需求。为了造福大众,本文提出了一种先进的低成本、精确的智能定位与制图算法。根据实验结果,总结出了三种优势。首先,该算法可以在Android设备上运行,并且能够节省基础设施成本和电池资源。其次,该算法可以达到小于5cm的精度,足以满足一般商业用途。最后,该系统能够在惯性测量单元(IMU)传感器和摄像机之间实现传感器的智能切换。为了测试我们的算法,我们使用机器人执行室内邮箱的投递,获得了高精度(>95%)和低电池成本(节省56%以上)的结果。我们的算法可以部署在自动配送车辆或无人机上,提供最后一英里的配送服务。
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引用次数: 9
Vehicle Tracking and Motion Estimation on Curve Road Segment by Using Smartphone Sensors 基于智能手机传感器的弯曲路段车辆跟踪与运动估计
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883736
M. Dai, Tao Feng, Luping Guo, Kai Yu
This paper resolves the modelling problem of target vehicle’s lateral motion in real-traffic tracking applications. We incorporate CTR (Constant turn rate) model with UKF (Unscented Kalman Filter) algorithm to deal with the vehicle’s turning maneuver on curve road segment for a high accurate vehicle motion estimation. In order to test the proposed model’s accuracy and applicability under complex real road environment, we design a traffic simulation experiment and drive the test vehicle to pass a turning road. The yaw rate and position information, which could be collected by smartphone sensor (gyroscopes, GPS and orientation sensor), are considered as observed value. Then, vehicle motion trajectory can be accurately obtained after the computation of the proposed model. Comparing with other vehicle motion information fusion algorithms, the result shows the proposed model presents a better accuracy in estimating and predicting vehicle lateral motion state on curve road segment.
本文解决了实际交通跟踪应用中目标车辆横向运动的建模问题。我们将CTR (Constant turning rate)模型与UKF (Unscented卡尔曼滤波)算法相结合,处理车辆在弯曲路段的转向机动,以获得高精度的车辆运动估计。为了验证所提模型在复杂真实道路环境下的准确性和适用性,设计了交通仿真实验,并驾驶试验车辆通过转弯道路。将智能手机传感器(陀螺仪、GPS和方位传感器)采集的横摆角速度和位置信息作为观测值。然后,对所提出的模型进行计算,可以准确地得到车辆的运动轨迹。结果表明,与其他车辆运动信息融合算法相比,该模型在弯道段车辆横向运动状态估计和预测方面具有更好的准确性。
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引用次数: 1
Risk Assessment for Cruise Ship Navigation Safety of Inland Waterway Based on Evidential Reasoning 基于证据推理的内河游船航行安全风险评估
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883595
W. Gan, Ming Huang, Yan-Wei Li, Zongmo Yang
A risk assessment model based on the D-S evidence theory is proposed to solve problems concerning the security risks of tourism in inland waterways. First, we explain the risk assessment index system and describe the steps for the inland waterway cruise ship navigation safety assessment. Second, we evaluate all indicators at the bottom level and transform them into the distribution of belief items. Finally, we apply the evidential reasoning (ER) approach to merge the belief structure information with the index level, in order to obtain the evaluation indicators. Subsequently, it would be possible for us to obtain the assessment results of the goal level in a comparable way. The evaluation results are presented through a belief assignment form, but it is necessary to transform the distribution information into crisp values for comparison purposes, by using a comprehensive evaluation function. Furthermore, we also conducted a case study on the Lijiaxia reservoir, to present and validate the proposed model and the corresponding methods. The results show that the safety evaluation score of the investigated waterway is 3.06, a value that can be considered to be of an intermediate level. Thus, it can be seen that the risk grade generated from the proposed model tends to be consistent with the real safety state of the waterway.
针对内河航道旅游安全风险问题,提出了基于D-S证据理论的风险评估模型。首先,阐述了内河邮轮航行安全风险评价指标体系,阐述了内河邮轮航行安全评价的步骤。其次,我们对底层的所有指标进行评价,并将其转化为信念项目的分布。最后,运用证据推理方法将信念结构信息与指标层次进行融合,从而得到评价指标。随后,我们就有可能以可比的方式获得目标层次的评估结果。评价结果通过信念赋值形式呈现,但需要利用综合评价函数将分布信息转化为清晰的值,以便进行比较。并以李家峡水库为例,对该模型和方法进行了验证。结果表明,调查航道的安全评价得分为3.06分,属于中等水平。由此可见,本文模型生成的风险等级与航道的真实安全状态趋于一致。
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引用次数: 3
Construction of superhydrophobic surfaces for antifouling and drag reduction applications 用于防污和减阻应用的超疏水表面的构造
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883846
Xiaoyan He, Xiuqin Bai, C. Yuan
Superhydrophobic surfaces (water contact angle $thetagt 150^{circ}$) with a low contact angle hysteresis have attracted much attention as a new route for antifouling and drag reduction applications. The last decade has witnessed the significant development in the design of superhydrophobic surfaces in Cassie-Baxter state inspired by the lotus leaf in nature. In this study, a simple fabrication method was developed to prepare a superhydrophobic surfaces in CassieBaxter state. The approach involved the formation of a rough structure and fluorination treatment on substrate. The asprepared surface became superhydrophobic based on the combination of rough structures and low-energy compositions. The air layer captured within the rough structures effectively prevent microorganisms’ adhesion. Meanwhile, the results indicate that the superhydrophobic surfaces show drag reduction for the air/liquid contact. The work provides a simple and highly efficient method to fabricate superhydrophobic surfaces for potential antifouling and drag reduction applications.
具有低接触角滞后性的超疏水表面(水接触角$thetagt 150^{circ}$)作为一种新型的防污减阻材料受到了广泛的关注。在过去的十年中,受自然界荷叶的启发,Cassie-Baxter状态下的超疏水表面设计取得了重大进展。在本研究中,开发了一种简单的制备方法来制备CassieBaxter态的超疏水表面。该方法涉及到粗糙结构的形成和衬底的氟化处理。基于粗糙结构和低能成分的结合,制备的表面具有超疏水性。在粗糙结构中捕获的空气层有效地防止了微生物的粘附。同时,研究结果表明,超疏水表面对空气/液体接触具有降低阻力的作用。这项工作提供了一种简单而高效的方法来制造超疏水表面,用于潜在的防污和减阻应用。
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引用次数: 1
A Cloud-Based Platform for Marine Oil Spill Emergency Response Capability Visualization 基于云的海上溢油应急响应能力可视化平台
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883807
Liang Huang, Xin Peng, Fan Zhang, Y. Wen, Changshi Xiao, Yimeng Zhang
With the booming of marine industry, occurrence of maritime oil spills will not only loss of life and property, but also has brought about a long-term and bad influence to ocean environment and ecosystem system. This paper introduces a platform architecture for marine oil spill response capacity visualization, and elaborates the visualization of oil spill emergency elements, emergency resources dynamic interconnection and regional oil spill response capability with marine oil spill accidents. The platform is based on the B/S (browser/server) framework along with the tools of Baidu map API and MapV visualization system to realize the oil spill emergency resources visualization, oil spill emergency capability visualization and oil spill emergency response. The successful running of the platform provides scientific support for the decision-making in handling the oil spill emergency.
随着海洋产业的蓬勃发展,海上溢油事故的发生不仅会造成生命财产的损失,而且会对海洋环境和生态系统带来长期的不良影响。介绍了一种海洋溢油应急能力可视化平台体系结构,结合海洋溢油事故,阐述了溢油应急要素可视化、应急资源动态互联可视化和区域溢油应急能力可视化。该平台基于B/S(浏览器/服务器)框架,以百度地图API和MapV可视化系统为工具,实现溢油应急资源可视化、溢油应急能力可视化和溢油应急响应可视化。该平台的成功运行为应急溢油处理决策提供了科学依据。
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引用次数: 5
EEG-Based Multiple Entropy Analysis for Assessing Driver Fatigue 基于脑电图的驾驶员疲劳评估多熵分析
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883591
Jianfeng Hu, Feiqiang Liu, Ping Wang
For new automatic technology, an EEG-based approach for studying driver fatigue is one of the potential important research field in traffic safety. In this article, the proposed method based on EEG signals aimed to assess driver fatigue by using multi-entropy measures and compare the performance with channel combination and multiple classifiers. Given that EEG signals are unstable and non-linear, that using several common entropy evaluators to analyze EEG is more appropriate, including spectral entropy, approximate entropy, sample entropy and fuzzy entropy. In this paper, unlike other methods using whole electrodes and single classifier, the influence of channel combination on fatigue detection is discussed, and three types of common classifiers including Random Forest, Decision Tree and K-Nearest Neighbor are applied for classifying driver fatigue, implying that a comprehensive comparison is deeply discussed among them. A simulated driving experiment in this study for twenty-two healthy adults was used to perform continuous signal acquisition for about 20 minutes. The experimental results show that the proposed method can hit the highest accuracy for driver fatigue detection of 97.5% with the leave-one-out cross-validation approach, implying that it could be suitable for accessing driver fatigue by using four entropy measures based on O1 channel and RF classifier.
对于新的自动驾驶技术,基于脑电图的驾驶员疲劳研究是交通安全领域潜在的重要研究方向之一。本文提出了一种基于脑电信号的驾驶员疲劳评估方法,采用多熵度量方法对驾驶员疲劳进行评估,并与信道组合和多分类器进行了性能比较。考虑到脑电信号的不稳定性和非线性,使用谱熵、近似熵、样本熵和模糊熵等几种常用的熵评价器来分析脑电信号更为合适。与其他使用全电极和单一分类器的方法不同,本文讨论了通道组合对疲劳检测的影响,并采用随机森林、决策树和k近邻三种常用分类器对驾驶员疲劳进行分类,对它们进行了深入的综合比较。本研究采用22名健康成人的模拟驾驶实验,进行持续约20分钟的信号采集。实验结果表明,采用留一交叉验证方法,该方法对驾驶员疲劳的检测准确率最高,达到97.5%,表明该方法适用于基于O1通道和RF分类器的4个熵度量对驾驶员疲劳的检测。
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引用次数: 5
Estimation of shipping insurance premiums for Arctic routes 北极航线航运保险费估算
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883796
Jingyu Zhang, Ling Sun
With global warming, melting Arctic sea ice and development of maritime technology are enabling the regular voyages in Arctic waters. Although, the Arctic maritime transport can save time and costs, the Arctic waters serve as a high-risk, environmentally fragile and sensitive ice area for ship navigation. The Arctic maritime transport faces the test of complex sea ice, geomagnetic disturbance, high winds and low visibility. In the face of the increase in shipping risks and their particularity, shipping insurance will play a critical role. Estimating of Arctic shipping insurance premiums has become the top point for insurance companies. For this, this paper uses the shipping cost accounting method to estimate the shipping costs of 5 ship types passing through the Arctic route and the traditional route to 10 different ports respectively. A reasonable interval for hull and cargo insurance premiums is estimated by the cost balance between the two routes. The reasonable number of the insurance premiums for the Arctic shipping calculated in this study can provide a reference for fulfilling of the Arctic shipping insurance.
随着全球气候变暖、北极海冰融化和海洋科技的发展,北极海域的常态化航行成为可能。虽然北极海上运输可以节省时间和成本,但北极水域是船舶航行的高风险、环境脆弱和敏感的冰区。北极海上运输面临着复杂海冰、地磁干扰、大风和低能见度的考验。面对航运风险的增加及其特殊性,航运保险将发挥至关重要的作用。北极航运保险的保费估算已成为保险公司的首要任务。为此,本文采用航运成本核算方法,分别估算了北极航线和传统航线5种船型到10个不同港口的航运成本。根据两条航线之间的成本平衡来估计船舶和货物保险费的合理间隔。本研究计算出的北极航运保险费合理数额可为北极航运保险的履行提供参考。
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引用次数: 1
Airlines Safety Inspection Based on System Safety Theory 基于系统安全理论的航空安全检查
Pub Date : 2019-07-01 DOI: 10.1109/ICTIS.2019.8883585
Y. Zhang, Yijie Sun, Yanqiu Chen
Safety inspection is an important part of airlines safety management. The problems and challenges of airlines safety inspection are analyzed. Through the analysis, it is found that the root causes of these problems is the ambiguity of management purpose of the safety inspection, and the failure to carry out the safety inspection from the perspective of the whole organization and system according to the system safety theory. The system safety theory is analyzed and summarized, which lays a theoretical foundation for airlines to carry out safety inspection. The management purpose and the role of safety inspection in airlines safety management were comprehensively analyzed and summarized. From the aspects of developing inspection list, making inspection plan, implementing inspection, problem analysis and problem handling, the implementation process of safety inspection and the issues that should be paid special attention to were analyzed and summarized. It is helpful for airlines to systematically carry out safety inspection.
安全检查是航空公司安全管理的重要组成部分。分析了航空公司安全检查存在的问题和面临的挑战。通过分析发现,产生这些问题的根本原因是安全检查的管理目的不明确,未能按照系统安全理论从整个组织和系统的角度开展安全检查。对系统安全理论进行了分析和总结,为航空公司开展安全检查奠定了理论基础。全面分析和总结了安全检查在航空公司安全管理中的管理目的和作用。从制定检查清单、制定检查计划、实施检查、问题分析和问题处理等方面,对安全检查的实施过程和应特别注意的问题进行了分析和总结。这有助于航空公司系统地开展安全检查。
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引用次数: 2
期刊
2019 5th International Conference on Transportation Information and Safety (ICTIS)
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