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Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.最新文献

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Visual target tracking for autonomous vehicles with the optimal OOSM solution 基于最优OOSM的自动驾驶车辆视觉目标跟踪
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520108
Zhen Jia, Arjuna Balasuriya
{"title":"Visual target tracking for autonomous vehicles with the optimal OOSM solution","authors":"Zhen Jia, Arjuna Balasuriya","doi":"10.1109/ITSC.2005.1520108","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520108","url":null,"abstract":"In this paper, an algorithm is proposed for the vision-based object identification and tracking by autonomous vehicles. In order to estimate the velocity of the tracked object, this algorithm fuses information captured by the vehicle's onboard sensors such as cameras and inertial motion sensors to determine the velocity and position of the object of interest in the world coordinate. However in this multiple sensor fusion based tracking system, the measurements from the same target can arrive out of sequence. This is called the \"out-of-sequence\" measurement (OOSM) problem. In this paper the 1-step-lag OOSM solution from Bar-Shalom is implemented to solve the problem. The target tracking performance with the OOSM solution is demonstrated through experimental results.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"1 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":"128848760","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
Roncalli - position dependent in-vehicle real time information for road users - an overview Roncalli -为道路使用者提供位置相关的车载实时信息-概述
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520189
Roland Spielhofer ; Co-Author, Peter Maurer, Markus Meissner, Klaus Machata, N. Widmann
{"title":"Roncalli - position dependent in-vehicle real time information for road users - an overview","authors":"Roland Spielhofer ; Co-Author, Peter Maurer, Markus Meissner, Klaus Machata, N. Widmann","doi":"10.1109/ITSC.2005.1520189","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520189","url":null,"abstract":"This paper describes the outcomes of the projects Roncalli and Roncall 12, two ITS projects that deal with road safety information for the driver and the trading of traffic data in general at a market place. A client-server architecture for delivering road safety information directly to the driver and the resulting services is described. Furthermore, the design of a market place for traffic data is outlined.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"54 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":"134618464","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
Reliable pre-trip multi-path planning and dynamic adaptation for a centralized road navigation system 集中式道路导航系统的可靠出行前多路径规划与动态自适应
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520057
Y.Y. Chen, M. Bell, K. Bogenberger
{"title":"Reliable pre-trip multi-path planning and dynamic adaptation for a centralized road navigation system","authors":"Y.Y. Chen, M. Bell, K. Bogenberger","doi":"10.1109/ITSC.2005.1520057","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520057","url":null,"abstract":"In this paper, an integrated approach combining offline pre-computation of optimal candidate paths with online path retrieval and dynamic adaptation is proposed for a dynamic navigation system in a centralized system architecture. Based on a static traffic data file, a partially disjoint candidate path set is constructed prior to the trip using a heuristic link weight increment method. This method satisfies reasonable path constraints that meet the drivers' preferences as well as alternative path constraints that limit the joint failure probability for candidate paths. The characteristics of the proposed algorithm are the following: 1) the response time for online navigation demand is nearly linear with network size and less dependent on system load; 2) the veracity of the pre-trip route plan based on the static data file is improved by taking travel time reliability into account; and 3) system optimization can be approximated without sacrificing driver preferences. The algorithm is tested on randomly generated road networks and the numerical results show the efficiency of the approach.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"2014 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":"127464322","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: 36
Effect of rain on travel demand and traffic accidents 降雨对出行需求和交通事故的影响
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520201
E. Chung, O. Ohtani, H. Warita, M. Kuwahara, H. Morita
{"title":"Effect of rain on travel demand and traffic accidents","authors":"E. Chung, O. Ohtani, H. Warita, M. Kuwahara, H. Morita","doi":"10.1109/ITSC.2005.1520201","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520201","url":null,"abstract":"This paper studies the effect of rain on travel demand measured on the Tokyo Metropolitan Expressway (MEX). Rainfall data monitored by the Japan Meteorological Agency's meso-scale network of weather stations are used. This study found that travel demand decreases during rainy days and, in particular, larger reductions occur over the weekend. The effect of rainfall on the number of accidents recorded on 10 routes on the MEX is also analysed. Statistical testing shows that the average frequency of accidents, during periods of rainfall, is significantly different from the average frequency at other times.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"165 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":"117023738","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: 70
Genetic algorithm approach for locating automatic vehicle identification readers 基于遗传算法的车辆自动识别读取器定位方法
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520214
M. Arafeh, Hesham A Rakha
{"title":"Genetic algorithm approach for locating automatic vehicle identification readers","authors":"M. Arafeh, Hesham A Rakha","doi":"10.1109/ITSC.2005.1520214","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520214","url":null,"abstract":"The paper develops an algorithm for optimally locating surveillance technologies with an emphasis on automatic vehicle identification tag readers by maximizing a travel time reliability objective function. The problem is formulated as a quadratic 0-1 optimization problem where the objective function parameters represent benefit factors that capture travel time variability along specified trips. A genetic algorithm is developed to solve the problem and the computational results are presented using data pertaining to a freeway section in San Antonio, Texas, as well as a number of synthetic test cases, to demonstrate the efficacy of the proposed approach.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"35 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":"123596581","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: 6
Extracting interesting vehicle sensor data using multivariate stationarity 利用多元平稳性提取感兴趣的车辆传感器数据
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520180
Kari Torkkola, Keshu Zhang, C. Schreiner, Noel Massey
{"title":"Extracting interesting vehicle sensor data using multivariate stationarity","authors":"Kari Torkkola, Keshu Zhang, C. Schreiner, Noel Massey","doi":"10.1109/ITSC.2005.1520180","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520180","url":null,"abstract":"Unsupervised modeling of sequentially sampled sensor data typically results in modeling resources getting allocated in proportion to the occurrence of different phenomena in the training data. This is a problem when most of the data is uninteresting but there are rare interesting events. As a consequence of this inbalance, the rare events are either not become well represented in the model or an undesirably large model is needed to satisfy performance measures. We present an approach to resample the data in proportion to the interestingness of the data where interestingness is defined as the multivariate stationarity of a weighted set of important variables. We present a case in modeling vehicle sensor data with the intent of modeling driver actions and traffic situations. We analyzed driving simulator data with this approach and report results where instance selection using the interestingness filtering resulted in models that correspond much better to human classification of different driving situations.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"80 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":"128415318","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
Global monitoring and security assistance based on next generation Internet for public and transportation safety enhancement 基于下一代互联网的全球监控和安全援助，以增强公共和交通安全
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520209
Gong Xiaoyan, Gao Haijun, Wang Feiyue
{"title":"Global monitoring and security assistance based on next generation Internet for public and transportation safety enhancement","authors":"Gong Xiaoyan, Gao Haijun, Wang Feiyue","doi":"10.1109/ITSC.2005.1520209","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520209","url":null,"abstract":"Currently, information overload has become a serious concern. However, in the near future, with the development and application of next generation Internet based on IPv6 and multimedia data compress techniques, the overloading problem may be even worsen that people would find them lost in the ocean of multimedia data. Urban traffic video systems for monitoring and intelligence collection is a very good example for those situations. Especially, as problems of anti-terrorism and criminal activities get more and more serious, the pubic security problem brings great challenges for governments. So in this paper, based on IPv6 and multimedia data mining techniques, a framework for global monitoring and security system is proposed. It can help people to complete work for public security and even individual security by using online multimedia data analysis and offline multimedia data mining techniques.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"1 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":"127300414","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
Traffic flow forecasting: overcoming memoryless property in nearest neighbor non-parametric regression 交通流预测:克服最近邻非参数回归的无记忆性
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520181
Taehyung Kim, Hyoungsoo Kim, D. Lovell
{"title":"Traffic flow forecasting: overcoming memoryless property in nearest neighbor non-parametric regression","authors":"Taehyung Kim, Hyoungsoo Kim, D. Lovell","doi":"10.1109/ITSC.2005.1520181","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520181","url":null,"abstract":"Short term traffic flow forecasting has played a key role in proactive and dynamic traffic control systems. A variety of methods and techniques have been developed to forecast traffic flow. Current nearest neighbor non-parametric traffic flow forecasting models treat the dynamic evolution of traffic flows at a given state as a memoryless process; i.e., the current state of traffic flow entirely determines the future state of traffic flow, with no dependence on the past sequences of traffic flow patterns that produced the current state (in existing nearest neighbor non-parametric models, the state includes only instantaneous conditions, not historic ones). Of course, traffic flow is not completely random in nature. There should be some patterns in which the past traffic flow repeats itself. In this paper, we have proposed a pattern recognition technique, which enables us to consider the past sequences of traffic flow patterns to predict the future state. It was found that the pattern recognition model is capable of predicting the future state of traffic flow reasonably well compared with the k-nearest neighbor non-parametric regression model. We hope that this paper is a good platform for the development of more effective nearest neighbor non-parametric regression models.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"1 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":"129023970","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: 40
A study on dynamic PN code assignment and improving influence of common code interference in DS/SS IVC DS/SS IVC中动态PN码分配及改进共码干扰影响的研究
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520063
M. Furuya, Y. Kawamagari, M. Fujii, M. Itami, K. Itoh
{"title":"A study on dynamic PN code assignment and improving influence of common code interference in DS/SS IVC","authors":"M. Furuya, Y. Kawamagari, M. Fujii, M. Itami, K. Itoh","doi":"10.1109/ITSC.2005.1520063","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520063","url":null,"abstract":"In this paper, a scheme to assign a unique PN (pseudo noise) code to each vehicle is proposed in order to reduce interference in a DS/CDMA IVC (direct sequence/code division multiple access inter vehicle communication) network. And the scheme how each vehicle acquires PN codes assigned to other is also discussed. In this paper, a common PN code is used to establish an initial communication link [Hattori, K, et al., Nov. 2000] and common code interference suppression using a successive interference cancellation scheme [Tomotaka, N et al., Nov. 1998] by estimating packet reception timing from the vehicle whose reception power is small is examined under the environment where reception power from each vehicle is different (near-far problem is existing).","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"15 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":"127891774","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
NaviView: visual assistance by virtual mirrors at blind intersection NaviView:通过虚拟镜子在盲十字路口辅助视觉
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005. Pub Date : 2005-10-24 DOI: 10.1109/ITSC.2005.1520120
K. Kojima, A. Sato, F. Taya, Y. Kameda, Y. Ohta
{"title":"NaviView: visual assistance by virtual mirrors at blind intersection","authors":"K. Kojima, A. Sato, F. Taya, Y. Kameda, Y. Ohta","doi":"10.1109/ITSC.2005.1520120","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520120","url":null,"abstract":"We propose a vision support system \"NaviView\" as visual assistance for safe driving based on augmented reality technique. \"NaviView\" is a system to realize visual assistance for drivers by utilizing images obtained from roadside surveillance cameras. In this paper, we propose virtual mirrors that display geometrically reshaped images taken from the surveillance cameras to support safe driving at a blind intersection. We proved the usefulness of the proposed method by comparing virtual mirrors with normal mirrors at a blind intersection under CG simulation environment.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"22 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":"129233220","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: 22
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