2015 IEEE 18th International Conference on Intelligent Transportation Systems最新文献_第2页

Track to Track Fusion Incorporating Out of Sequence Track Based on Information Matrix Fusion 基于信息矩阵融合的失序航迹融合

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.426

B. Duraisamy, T. Schwarz

引用次数: 2

Assessement of Areas Exposed to Damage by Dangerous Goods Transportation: Application of Analytic Hierarchy Process Method for Land Covers Weighing 危险货物运输受损面积评估:层次分析法在土地覆盖加权中的应用

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.410

P. Gandini, L. Studer, F. Borghetti, Rosanna Iuliano, G. Pastorelli

引用次数: 2

Influence of the Sensor Local Track Covariance on the Track-to-Track Sensor Fusion 传感器局部航迹协方差对航迹传感器融合的影响

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.425

B. Duraisamy, T. Schwarz

{"title":"Influence of the Sensor Local Track Covariance on the Track-to-Track Sensor Fusion","authors":"B. Duraisamy, T. Schwarz","doi":"10.1109/ITSC.2015.425","DOIUrl":"https://doi.org/10.1109/ITSC.2015.425","url":null,"abstract":"The information fusion of the processed sensory tracks is carried out using track-to-track fusion algorithms. The performance analysis of a selected track-to-track fusion algorithms under different sensory track covariance configurations are carried out in this paper. This is the first paper that does the study on the influence of sensory track covariance on the performance of three important algorithms for track-to-track fusion. A simulation setup with known system parameters and an optimal centralized measurement fuser based on the Kalman estimator as the benchmark is used to numerically evaluate the different algorithms with different sensory track covariance configurations. The results of this experiment shows that sensory track covariance plays an important role in achieving a consistent fused estimate in a track-to-track fusion problem. It is difficult to obtain this vital information at the fusion center in a real world system due to certain practical limitations. It is necessary to compensate this loss of information by estimating the respective sensor's local track covariance. Some practical solutions based on the available information at the fusion center, which could be used to carry out this compensation is proposed in this paper.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126489527","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: 5

A Framework for Appraising European Member States' Readiness Level for eCall Deployment 评估欧洲成员国紧急呼叫部署准备水平的框架

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.371

S. Hadjidimitriou, Risto Öörni

{"title":"A Framework for Appraising European Member States' Readiness Level for eCall Deployment","authors":"S. Hadjidimitriou, Risto Öörni","doi":"10.1109/ITSC.2015.371","DOIUrl":"https://doi.org/10.1109/ITSC.2015.371","url":null,"abstract":"This work provides a general overview of the main findings of two European projects, HeERO and HeERO2 aimed at facilitating the implementation of the eCall in-vehicle emergency call service in Europe. The representatives of 15 European Member States (MS) participated in the project's activities with the objective to demonstrate the functioning of the eCall. The projects identified several layers that form the eCall value chain. Based on these layers, a questionnaire was prepared and presented to MS representatives to identify the main barriers and enablers at country level. The results of the survey were used in the project to create the guidelines and recommendations for eCall deployment. The main contribution of the paper consists of the evaluation of the HeERO MS readiness level to implement eCall. To this aim, a set of evaluation criteria are measured based on the answers provided by the MS representatives. Furthermore, two multicriteria approaches are selected and implemented: the PROMETHEE and the PAPRIKA methods that consist in performing pairwise comparisons of alternatives. The outcome of the analysis is a ranking of HeERO countries based on their readiness level to implement eCall by October 2017, which is the mandatory deadline that has been set up by the European Commission.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126557186","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

Recursive State Estimation for Lane Detection Using a Fusion of Cooperative and Map Based Data 基于合作数据和地图数据融合的递归状态估计车道检测

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.352

P. Lorenz, Bernd Schäufele, Oliver Sawade, I. Radusch

引用次数: 1

Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO 基于ATO控制策略的单列节能运行

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.415

Shuqi Liu, F. Cao, J. Xun, Yihui Wang

{"title":"Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO","authors":"Shuqi Liu, F. Cao, J. Xun, Yihui Wang","doi":"10.1109/ITSC.2015.415","DOIUrl":"https://doi.org/10.1109/ITSC.2015.415","url":null,"abstract":"Energy efficiency is paid more and more attention in urban rail transit systems. Optimization on Automatic Train Operation (ATO) is important to energy-efficient operation of trains. ATO generates the recommended speed curve based on the railway line parameters, the scheduled time table, and the vehicle conditions. The control strategy of ATO makes the train running along the recommended speed curve to meet the requirements on precision of train stopping, punctuality, energy-saving and riding comfort. The optimization of recommended speed curve in traditional research does not consider the influence of the control strategy of ATO. The energy consumption calculated by such a recommended speed curve and the practical curve of the train operation have a significant deviation. In this paper, a more accurate model of the train energy consumption is presented by considering the control strategy of ATO. Two modifications of Tabu Search (TS) algorithm, which are named as Acceleration Rate Decided Modification (ARDM) and Distance Decided Modification (DDM), are proposed to optimize train recommended speed curve based on the presented model. Case studies have been conducted based on Beijing Subway to illustrate that the proposed algorithm results in good performance with regards to energy saving. In addition, the computation time is within 1 s, which is short enough to be applied in the online control of trains.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129828684","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: 12

Mutual Coupling Research of Multi-antenna in Dual-Channel Balise 双通道Balise多天线互耦研究

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.355

Linfu Zhu, Huibing Zhao, D. Liang, Ruigang Song

引用次数: 5

Blind Area Traffic Prediction Using High Definition Maps and LiDAR for Safe Driving Assist 使用高清地图和激光雷达进行盲区交通预测以实现安全驾驶辅助

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.373

E. Takeuchi, Yuki Yoshihara, Y. Ninomiya

引用次数: 21

Economic Analysis Based on the Interrelationships of the OLEV System Components 基于OLEV系统组件相互关系的经济分析

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.430

Hyukjoon Lee, D. Cho

引用次数: 2

Reliability of Probe Speed Data for Detecting Congestion Trends 用于检测拥塞趋势的探针速度数据的可靠性

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-11-02 DOI: 10.1109/ITSC.2015.362

Y. Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, N. Hawkins, Michael Jackson

{"title":"Reliability of Probe Speed Data for Detecting Congestion Trends","authors":"Y. Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, N. Hawkins, Michael Jackson","doi":"10.1109/ITSC.2015.362","DOIUrl":"https://doi.org/10.1109/ITSC.2015.362","url":null,"abstract":"This paper presents a framework for evaluating the reliability of probe-sourced traffic speed data for congestion detection and general infrastructure performance assessment. The methodology outlined employs pattern recognition and time-series analysis to accurately quantify the similarity and dissimilarities between probe-sourced and benchmarked local sensor data. First, an adaptive and multiscale pattern recognition algorithm called Empirical Mode Decomposition (EMD) is used to define short, medium and long-term trends for the probe-sourced and infrastructure mounted local sensor datasets. The reliability of the probe data is then estimated based on the similarity or synchrony between corresponding trends. The synchrony between long-term trends are used as a measure of accuracy for general performance assessment, whereas short and medium term trends are used for testing the accuracy of congestion detection with probe-sourced data. Using one-month of high-resolution speed data, the authors were able to use probe data to detect on average 74% and 63% of the short-term events (events lasting for at most 30 minutes), 95% and 68% of the medium-term events (events lasting between 1 and 3 hours) on freeways and non - freeways respectively. Significant latencies do however exist between both datasets. On non - freeways, the benchmarked data detected events, on average, 12 minutes earlier than the probe data. On freeways, the latency between the datasets was reduced to 8 minutes. The resulting framework can serve as a guide for state DOTs when outsourcing or supplementing traffic data collection to probe-based services.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968641","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: 13