International Conference on Vehicle Technology and Intelligent Transport Systems最新文献_第5页

Automated Bicycle Counting System's Prototype to Evaluate the Necessity of New Bicycle Lanes in Jelgava City 评价耶尔加瓦市新建自行车道必要性的自动自行车计数系统原型

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007714104200425

A. Kviesis, A. Zacepins, V. Komašilovs, Normunds Vetra, N. Bumanis

引用次数: 0

Pattern Model Stratification to Decision-making Support of Transport Infrastructure Management 交通基础设施管理决策支持的模式模型分层

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007729904980504

T. Mikheeva, S. Mikheev, O. Golovnin

{"title":"Pattern Model Stratification to Decision-making Support of Transport Infrastructure Management","authors":"T. Mikheeva, S. Mikheev, O. Golovnin","doi":"10.5220/0007729904980504","DOIUrl":"https://doi.org/10.5220/0007729904980504","url":null,"abstract":"Design and engineering of patterns requires tools to enable these processes by means of universal creation and dynamic modification of objects. The article introduces the basic definitions of pattern design (hereinafter P-models), specifies the types and structures of patterns, determines the organization of object design based on P-models. The introduced axiomatic and systematization are based on the use of original definitions and form the concept of stratified pattern construction of objects and associations. A stratified pattern model is considered as an information, methodological and implementation basis for the design of the decision support system of transport infrastructure management. The synthesis of the decision support system of transport infrastructure management is made on the fundamental methodological basis, determined by the object-oriented paradigm. The synthesis of universal structures based on patterns is considered on the formal declaration of objects invariant to their subject orientation. Along with the synthesis of methodical P-models, the patterns of formalization and systematization of relevant information-logical and functional aspects of transport infrastructure are described. The implementation P-models contains the effectiveness of the pattern design of the decision support system of transport infrastructure management of the processes of modelling, management, experimental studies.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimal Driving Profiles in Railway Systems based on Data Envelopment Analysis 基于数据包络分析的铁路系统驾驶曲线优化

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007878002540259

A. Achilleos, M. Anastasopoulos, A. Tzanakaki, Marius Iordache, Olivier Langlois, Jean-Francois Pheulpin, D. Simeonidou

引用次数: 1

Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems 用于验证自动驾驶系统的实际测试驾驶车辆数据管理系统

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007720501710180

Lars Klitzke, C. Koch, Andreas Haja, F. Köster

{"title":"Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems","authors":"Lars Klitzke, C. Koch, Andreas Haja, F. Köster","doi":"10.5220/0007720501710180","DOIUrl":"https://doi.org/10.5220/0007720501710180","url":null,"abstract":"For the validation of autonomous driving systems, a scenario-based assessment approach seems to be widely accepted. However, to verify the functionality of driving functions using a scenario-based approach, all scenarios that may be relevant for the validation have to be identified. Real-world test drives are mandatory to find relevant and critical scenarios. However, the identification of scenarios and the management of the captured data requires computational assistance to validate driving functions with reasonable effort. Therefore, this work proposes a highly-modularised multi-layer Vehicle Data Management System to manage and support analysing large-scale test campaigns for the scenario-based validation of automated driving functions. The system is capable of aggregating the vehicle sensor data to time-series of scenes by utilising temporal discretisation. Those scenes will be enriched with information from various external sources, providing the foundation for efficient scenario mining. The practical usefulness of the proposed system is demonstrated using a real-world test drive sequence, by finding lane-change scenarios and evaluating an onboard system.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors 基于递归神经网络的连接传感器交叉口道路使用者运动模式持续改进模型

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007675603190326

Julian Bock, Philipp Nolte, L. Eckstein

{"title":"Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors","authors":"Julian Bock, Philipp Nolte, L. Eckstein","doi":"10.5220/0007675603190326","DOIUrl":"https://doi.org/10.5220/0007675603190326","url":null,"abstract":"Intersections with connected infrastructure and vehicle sensors allow observing vulnerable road users (VRU) longer and with less occlusion than from a moving vehicle. Furthermore, the connected sensors are providing continuous measurements of VRUs at the intersection. Thus, we propose a data-driven prediction model, which benefits of the continuous, local measurements. While most approaches in literature use the most probable path to predict road users, it does not represent the uncertainty in prediction and multiple maneuver options. We propose the use of Recurrent Neural Networks fed with measured trajectories and a variety of contextual information to output the prediction in a local occupancy grid map in polar coordinates. By using polar coordinates, a reliable movement model is learned as base model being insensitive against blind spots in the data. The model is further improved by considering input features containing information about the static and dynamic environment as well as local movement statistics. The model successfully predicts multiple movement options represented in a polar grid map. Besides, the model can continuously improve the prediction accuracy without re-training by updating local movement statistics. Finally, the trained model is providing reliable predictions if applied on a different intersection without data from this intersection.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115364200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Approach for Development of Neural Network based Electrical Machine Models for HEV System-level Design Optimization 基于神经网络的混合动力汽车电机模型开发新方法

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007570300170024

Christian Gletter, Andre Mayer, J. Kallo, T. Winsel, O. Nelles

{"title":"A Novel Approach for Development of Neural Network based Electrical Machine Models for HEV System-level Design Optimization","authors":"Christian Gletter, Andre Mayer, J. Kallo, T. Winsel, O. Nelles","doi":"10.5220/0007570300170024","DOIUrl":"https://doi.org/10.5220/0007570300170024","url":null,"abstract":"To find the optimal system-level design of hybrid electric vehicles (HEVs), component models are used in simulations to evaluate a large number of different designs within a high dimensional design space. As the electrical machine (EM) represents a key component of the HEV powertrain in terms of energy consumption, models require scalability and sufficient accuracy with manageable computational effort. This paper presents a novel approach for the development of scalable EM models based on Neural Networks (NN). The models are trained with data derived by a Finite Element Analysis (FEA) based scaling procedure and capable to represent the characteristics of a wide range of EM designs without the incorporation of further details. Once a model is trained, it can be directly used in system-level design optimization. The practicality of the model is proven within an exemplary simulation study and its goodness of fit to the training data is validated by a statistical analysis. This approach can help to reduce the computational effort of EM efficiency maps calculation, since only a small number of time-consuming FEA based scaling simulations must be performed prior to the optimization.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114699789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications 基于集群的拼车应用信誉评价机制研究

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007796602320241

E. Mastorakis, A. Salamanis, Dionisis D. Kehagias, D. Tzovaras

{"title":"On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications","authors":"E. Mastorakis, A. Salamanis, Dionisis D. Kehagias, D. Tzovaras","doi":"10.5220/0007796602320241","DOIUrl":"https://doi.org/10.5220/0007796602320241","url":null,"abstract":"Carpooling is a mobility concept that appears to be the answer when it comes to challenges in urban mobility derived by population growth. In carpooling, the same amount of people move with fewer vehicles leading to reduced traffic congestion and consequently to less CO2 emissions, fuel consumption and drivers frustration. However, there has always been scepticism around carpooling due to the inherent mistrust between drivers and passengers. In recent years, some reputation systems have been proposed to reduce the impact of mistrust on carpooling applications. Among them, the work of Salamanis et al. (Salamanis, 2018), in which a reputation assessment mechanism based on clustering users travel preferences, was introduced. In this paper, we provide an extended version of the previous mechanism and we thoroughly evaluate its robustness in relation with different types of malicious attacks and clustering algorithms. In addition, we compare our mechanism with a benchmarking reputation system that utilizes the simple arithmetic mean to calculate reputation values based on users ratings. The evaluation results indicate that the extended reputation assessment mechanism exhibits more robust behavior compared to the benchmarking system in all types of attacks when using the hierarchical clustering algorithm.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122123117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preliminary Study on Road Slipperiness Detection using Real-Time Digital Tachograph Data 基于实时数字行车记录仪数据的道路防滑检测初步研究

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0006954702630267

Jinhwan Jang

引用次数: 2

Front-View Vehicle Damage Detection using Roadway Surveillance Camera Images 基于道路监控摄像头图像的前视车辆损伤检测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007724601930198

Burak Balci, Y. Artan, Bensu Alkan, Alperen Elihos

引用次数: 9

Intermodal Containers Transportation: How to Deal with Threats? 集装箱多式联运:如何应对威胁?

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007739805050512

S. Jakovlev, A. Andziulis, A. Senulis, M. Voznák

引用次数: 3