16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)最新文献_第4页

Fault tolerancy in Cooperative Adaptive Cruise Control 协同自适应巡航控制中的容错

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728393

E. V. Nunen, J. Ploeg, A. I. Medina, H. Nijmeijer

引用次数: 15

Maximum likelihood estimation of Departure and Travel Time of Individual Vehicle using statistics and dynamic programming 基于统计和动态规划的个体车辆出发和行驶时间的最大似然估计

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728470

Takuma Yamaguchi, S. Inagaki, Tatsuya Suzuki, A. Ito, M. Fujita, J. Kanamori

{"title":"Maximum likelihood estimation of Departure and Travel Time of Individual Vehicle using statistics and dynamic programming","authors":"Takuma Yamaguchi, S. Inagaki, Tatsuya Suzuki, A. Ito, M. Fujita, J. Kanamori","doi":"10.1109/ITSC.2013.6728470","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728470","url":null,"abstract":"Electric Vehicles (EVs) and Plug-in Hybrid Vehicles (PHVs) generally equip a battery of high capacity. Cars such as EVs and PHVs are expected to work not only as transportation devices, but also as power storages. However, in order to use the battery effectively, we need to know the future Profile of the Departure and Travel Time (PDTT) of the car. This paper presents an estimation method of the PDTT of the car over one day from the present time based on the Statistics of the Departure and Travel Time (SDTT) and dynamic programming. The prediction problem of PDTT of the car is formulated as a maximum-likelihood estimation problem under the condition that the SDTT is available. In order to find a global optimal solution within a reasonable computational cost, first of all, a Markov model representing all possible PDTT of the car is derived from the SDTT. Then, the dynamic programming is applied to find the most likely PDTT of the car. The usefulness of the proposed method is evaluated by numerical experiments, wherein the SDTT is created by real driving data.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116211646","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: 9

Road-line detection and 3D reconstruction using fisheye cameras 使用鱼眼相机进行道路线检测和三维重建

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728376

R. Boutteau, X. Savatier, Fabien Bonardi, J. Ertaud

引用次数: 9

Trajectory clustering based on length scale directive Hausdorff 基于长度尺度指令Hausdorff的轨迹聚类

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728277

Jiuyue Hao, Lei Gao, Xuan Zhao, Pengfei Li, PengJu Xing, Xinye Zhang

引用次数: 3

Evaluation of a mapping strategy based on smooth arc splines for different road types 基于光滑弧样条的不同道路类型映射策略评价

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728227

Stephan Brummer, F. Janda, G. Maier, A. Schindler

{"title":"Evaluation of a mapping strategy based on smooth arc splines for different road types","authors":"Stephan Brummer, F. Janda, G. Maier, A. Schindler","doi":"10.1109/ITSC.2013.6728227","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728227","url":null,"abstract":"Digital maps enrich advanced driver assistance systems by providing information on the local environment of a vehicle. This paper presents various results of a mapping strategy which uses smooth arc splines as geometric model. For any given tolerance, the curve approximation method (SMAP) generates a smooth arc spline with the minimally possible number of curve segments. The evaluation shows the performance of this method regarding the accuracy, the data volume and significant curvature characteristics on both rural and highway roads. It can be stated that the arc spline approximation generally outperforms polygonal representations regarding the information content and the number of segments which has a direct influence on the computational complexity of map calculations and the required data volume for the map storage. These properties are beneficial for many driver assistance system applications like autonomous driving. Furthermore, it is shown that the curvature estimation in the curve apexes is widely stable for a broad range of approximation tolerance values which is crucial for curve speed warnings.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115858479","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: 10

Coordinated route optimization for heavy-duty vehicle platoons 重型车辆排协调路线优化

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728395

Jeffrey Larson, Christoph Kammer, Kuo-Yun Liang, K. Johansson

引用次数: 60

Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots 城市交通的不确定性:预测共享单车和停车场的等待时间

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728210

Bei Chen, Fabio Pinelli, M. Sinn, A. Botea, Francesco Calabrese

{"title":"Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots","authors":"Bei Chen, Fabio Pinelli, M. Sinn, A. Botea, Francesco Calabrese","doi":"10.1109/ITSC.2013.6728210","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728210","url":null,"abstract":"Building efficient and sustainable transportation systems is a key challenge for accommodating the fast-increasing population living in cities. Lack of efficiency in transportation networks typically arises from uncertainty, e.g., about the availability of resources (such as parking lots or bicycles in bike sharing systems), or the exogenous factors affecting their demand (such as weather or the time of the day). In this paper, we present a class of algorithms which use Generalized Additive Models (GAMs) for demand and availability prediction on various time scales. In contrast to existing methods, exogenous effects can be explicitly factored into the models, resulting in significant gains in terms of prediction accuracy. Another advantage of our approach is that it estimates the distribution of the waiting time for the next available bike/parking lot if the current availability is zero. We showcase how this additional information can be used as part of personal uncertainty-aware journey planners which allow users to choose from multiple routes according to their time constraints.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132354648","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: 45

A multiagent system for combining green wave and adaptive control in a dynamic way 一种动态结合绿波与自适应控制的多智能体系统

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728592

Antônio de Abreu Batista Júnior, L. Coutinho

引用次数: 8

Vehicle inertial parameter identification using Extended and unscented Kalman Filters 基于扩展和无气味卡尔曼滤波器的车辆惯性参数辨识

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728432

Sanghyun Hong, Tory Smith, F. Borrelli, J. Hedrick

引用次数: 26

Single Frequency Precise Point Positioning: Obtaining a map accurate to lane-level 单频精确点定位:获得精确到车道水平的地图

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) Pub Date : 2013-10-01 DOI: 10.1109/ITSC.2013.6728563

V. Knoop, P. D. Bakker, C. Tiberius, B. Arem

{"title":"Single Frequency Precise Point Positioning: Obtaining a map accurate to lane-level","authors":"V. Knoop, P. D. Bakker, C. Tiberius, B. Arem","doi":"10.1109/ITSC.2013.6728563","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728563","url":null,"abstract":"Modern Intelligent Transport Solutions can achieve improvement of the traffic flow at motorways. With lane-specific measurements and lane-specific control more measures are possible. Single Frequency Precise Point Positioning (PPP) is a newly developed technique to get a sub-meter accurate position from the signals of the Global Positioning System (GPS). PPP-GPS allows for sub-meter accurate positioning, in real time, of vehicles on the motorway. In theory, it has been shown that using GPS-PPP probe vehicle data, also the lanes of the motorway can be mapped. In this paper this technique is tested in practice and a map of the lanes of a motorway is created. To this end, a vehicle equipped with a PPP-GPS device runs 100 times up and down a specific motorway stretch, for which the PPP-GPS trajectory data are collected. The paper shows a methodology to construct the position of road from the data. Moreover, it shows how the positions and the widths of different lanes can be identified from the data. The results show that the lanes can be successfully identified from the data. With the parametrized lanes, vehicles can be tracked down to a lane with the PPP-GPS device.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131486734","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