Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.最新文献_第9页

Real-time flow data analysis by GIS: Internet and WAP approach 基于GIS的实时流量数据分析:Internet和WAP方法

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520185

I. Fi, Á. Barsi, T. Lovas, Z. Siki, G. Fordos

引用次数: 2

Assisting orientation and guidance for multimodal travelers in situations of modal change 协助多式联运旅客在运输方式变化的情况下进行定位和引导

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520083

K. Rehrl, S. Leitinger, S. Bruntsch, H. Mentz

引用次数: 20

Ubiquitous location based service 无处不在的基于位置的服务

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520159

Jae-Chul Kim, Tae-Wook Heo, Ju-Wan Kim, Jong-Hyun Park

引用次数: 12

Dynamics of freeway traffic 高速公路交通动态

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520067

L. Figueiredo, J. Machado

引用次数: 1

Single-lane traffic simulation with multi-agent system 基于多智能体系统的单车道交通仿真

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520219

Fa Zhang, Jinling Li, Qiaoxia Zhao

{"title":"Single-lane traffic simulation with multi-agent system","authors":"Fa Zhang, Jinling Li, Qiaoxia Zhao","doi":"10.1109/ITSC.2005.1520219","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520219","url":null,"abstract":"Agent-based traffic simulation has emerged as an efficient tool to investigate traffic phenomenon. However, the main problem is how to reproduce realistic patterns of traffic flow at both macroscopic and microscopic levels with restricted computational resources. In this paper, we present a multi-agent framework of single-lane traffic simulation. We focus on the driver-vehicle agents, which is the most important ones in the framework. The three-layer architecture of driver-vehicle agents is proposed, the decision tree of tactical longitudinal movement is put forward, and the simplified formulas of acceleration and deceleration rate are derived. With parallel update mode of agent states, a one-dimension traffic simulation model is developed. To validate it at the macroscopic level, we reproduced the realistic flow-density and speed-density relation of traffic flow with periodic boundary condition. To validate it at the microscopic level, a platoon of 10 vehicles was simulated. Given four kinds of typical speed profiles of the leader, each follower can follow its leader safely and stably. The result shows that this model can reproduce realistic macroscopic and microscopic characteristics of single-lane traffic flow.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243638","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: 26

Using k-means clustering to identify time-of-day break points for traffic signal timing plans 使用k-均值聚类识别交通信号配时计划的时间断点

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520102

Xiaodong Wang, W. Cottrell, S. Mu

{"title":"Using k-means clustering to identify time-of-day break points for traffic signal timing plans","authors":"Xiaodong Wang, W. Cottrell, S. Mu","doi":"10.1109/ITSC.2005.1520102","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520102","url":null,"abstract":"The k-means method, a nonhierarchical clustering algorithm, is applied to traffic volume data to determine time-of-day (TOD) breakpoints for traffic signal timing plans. Other methods, including hierarchical clustering techniques, have been applied to traffic signal timings, but they are computationally intensive and require a substantial amount of data storage space. The procedure requires that the analyst specify the number of clusters prior to engaging the algorithm. The resultant allocations of volumes to clusters may be \"noisy\"; smoothing may be needed to avoid having an inoperable number of TOD breakpoints. The algorithm is applied to a small case study involving a two-intersection corridor and just under four hours of volume data. Three time intervals were identified, with a peak, two-hour period sandwiched by two off-peak segments. An expanded application of the algorithm on a longer corridor or network, over a longer time period, is recommended. Subsequent steps would be to develop the signal timing plans for the study intersections, evaluate the proposed plans, and assess the potential for their implementation. The k-means method can develop TOD breakpoints from traffic volumes, making it a potentially useful procedure where detectors supplying additional traffic information are either sparse or nonexistent.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121217154","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: 42

Unconstrained licence plate and text localization and recognition 无约束车牌和文本定位和识别

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520111

Jiri Matas, K. Zimmermann

{"title":"Unconstrained licence plate and text localization and recognition","authors":"Jiri Matas, K. Zimmermann","doi":"10.1109/ITSC.2005.1520111","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520111","url":null,"abstract":"Licence plates and traffic signs detection and recognition have a number of different applications relevant for transportation systems, such as traffic monitoring, detection of stolen vehicles, driver navigation support or any statistical research. A number of methods have been proposed, but only for particular cases and working under constraints (e.g. known text direction or high resolution). Therefore a new class of locally threshold separable detectors based on extremal regions, which can be adapted by machine learning techniques to arbitrary shapes, is proposed. In the test set of licence plate images taken from different viewpoints (-45/spl deg/,45/spl deg/), scales (from seven to hundreds of pixels height) even in bad illumination conditions and partial occlusions, the high detection accuracy is achieved (95%). Finally we present the detector generic abilities by traffic signs detection. The standard classifier (neural network) within the detector selects a relevant subset of extremal regions, i.e. regions that are connected components of a thresholded image. Properties of extremal regions render the detector very robust to illumination change and partial occlusions. Robustness to a viewpoint change is achieved by using invariant descriptors and/or by modelling shape variations by the classifier. The time-complexity of the detection is approximately linear in the number of pixel and a non-optimized implementation runs at about 1 frame per second for a 640 /spl times/ 480 image on a high-end PC.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115822554","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: 119

Identification of deceptive behavioral cues extracted from video 从视频中提取的欺骗行为线索的识别

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520211

Matthew L. Jensen, Thomas O. Meservy, J. Kruse, J. Burgoon, J. Nunamaker

引用次数: 13

Video event recognition for aircraft activity monitoring 用于飞机活动监控的视频事件识别

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520205

D. Thirde, M. Borg, J. Ferryman, F. Fusier, V. Valentin, F. Brémond, M. Thonnat

引用次数: 6

School trip attraction modeling using neural & fuzzy-neural approaches 基于神经和模糊神经方法的学校旅行吸引力建模

Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520199

Y. Shafahi, E. Abrishami

引用次数: 5