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Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)最新文献

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On representing signalized urban areas by means of deterministic-timed Petri nets 确定性时间Petri网表示城市信号区域的研究
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398927
A. D. Febbraro, D. Giglio
{"title":"On representing signalized urban areas by means of deterministic-timed Petri nets","authors":"A. D. Febbraro, D. Giglio","doi":"10.1109/ITSC.2004.1398927","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398927","url":null,"abstract":"Signalized urban areas are microscopically represented by means of deterministic-timed Petri nets (DTPNs), with the purpose of providing a suitable modelling tool for traffic management and signalling control. The model described in this paper consists of signalized intersections and roads. In order to properly model traffic congestion, intersections are divided into several crossing sections. An intersection always includes a multi-stage traffic signal, whose stage matrix (i.e., the sequence of signal stages) is a-priori known. The DTPN representing the traffic model, intended to traffic management and signalling control, is proposed and fully described in the paper.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122704403","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: 21
Results of an evaluation of a multilateration system using ACAS signals 利用ACAS信号对一个多倍系统进行评估的结果
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398969
T. Koga, H. Tajima, S. Ozeki
{"title":"Results of an evaluation of a multilateration system using ACAS signals","authors":"T. Koga, H. Tajima, S. Ozeki","doi":"10.1109/ITSC.2004.1398969","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398969","url":null,"abstract":"In 2002, we proposed a new aircraft positioning system. The system uses aircraft collision avoidance system (ACAS) signals to determine aircraft's positions. To evaluate the surveillance performance of the system, we have developed an experimental system for airport surface surveillance and conducted an evaluation. We describe the background of our development and introduce the experimental system and time difference of arrival (TDOA) detection techniques. We present the results of the evaluation conducted in the Sendai Airport in 2003.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265381","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: 2
Signal processing of sensor node data for vehicle detection 用于车辆检测的传感器节点数据的信号处理
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398874
Jiagen, Jason Ding, S. Cheung, Chin-Woo Tan, P. Varaiya
{"title":"Signal processing of sensor node data for vehicle detection","authors":"Jiagen, Jason Ding, S. Cheung, Chin-Woo Tan, P. Varaiya","doi":"10.1109/ITSC.2004.1398874","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398874","url":null,"abstract":"We describe an algorithm and experimental work for vehicle detection using sensor node data. Both acoustic and magnetic signals are processed for vehicle detection. We propose a real-time vehicle detection algorithm called the adaptive threshold algorithm (ATA). The algorithm first computes the time-domain energy distribution curve and then slices the energy curve using a threshold updated adaptively by some decision states. Finally, the hard decision results from threshold slicing are passed to a finite-state machine, which makes the final vehicle detection decision. Real-time tests and offline simulations both demonstrate that the proposed algorithm is effective.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128147521","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: 107
Bus arrival time prediction using artificial neural network model 利用人工神经网络模型预测公交车到达时间
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1399041
R. Jeong, R. Rilett
{"title":"Bus arrival time prediction using artificial neural network model","authors":"R. Jeong, R. Rilett","doi":"10.1109/ITSC.2004.1399041","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1399041","url":null,"abstract":"A major component of ATIS is travel time information. The provision of timely and accurate transit travel time information is important because it attracts additional ridership and increases the satisfaction of transit users. The objectives of this research are to develop and apply a model to predict bus arrival time using automatic vehicle location (AVL) data. In this research, the travel time prediction model considered schedule adherence and dwell times. Actual AVL data from a bus route located in Houston, Texas was used as a test bed. A historical data based model, regression models, and artificial neural network (ANN) models were used to predict bus arrival time. It was found that ANN models outperformed the historical data based model and the regression models in terms of prediction accuracy.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134025675","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: 195
Simultaneous perturbation stochastic approximation based neural networks for online learning 基于同步摄动随机逼近的在线学习神经网络
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1399050
M. Choy, D. Srinivasan, R. Cheu
{"title":"Simultaneous perturbation stochastic approximation based neural networks for online learning","authors":"M. Choy, D. Srinivasan, R. Cheu","doi":"10.1109/ITSC.2004.1399050","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1399050","url":null,"abstract":"This work presents a new application of simultaneous perturbation stochastic approximation (SPSA) for online learning and weight updates in multiple neural networks (SPSA-NN). A multi-agent system is implemented for the dynamic control of traffic signals in a complex traffic network with numerous intersections. Neural networks are used to approximate the optimal traffic signal control strategies for each agent and the parameters of these neural networks are updated online using an enhanced version of SPSA. Many simulation runs have been carried out to evaluate the performance of the SPSA-NN against an existing traffic signal control technique. Results show that the SPSA-NN based multi-agent system manages to outperform the existing technique. The mean delay of all vehicles has been reduced by 44% compared to the existing technique.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134045874","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
Measuring freeway travel times using existing detector infrastructure 使用现有的检测器基础设施测量高速公路行驶时间
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398872
S. Krishnamurthy, B. Coifman
{"title":"Measuring freeway travel times using existing detector infrastructure","authors":"S. Krishnamurthy, B. Coifman","doi":"10.1109/ITSC.2004.1398872","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398872","url":null,"abstract":"The most important task of a traffic surveillance system is to reliably determine whether a facility is free flowing or congested. Conventional vehicle detectors are capable of monitoring discrete points along the roadway but do not provide information about conditions on the link between detectors. This information would be useful to the operating agencies for taking timely decisions in response to various delay causing events and hence reduce the resulting congestion of the system. This paper presents an approach that matches vehicle measurements between detector stations to provide information on the conditions in the link rather than relying on the point measurements from the detectors. This work reidentifies vehicle measurements using the existing loop detector infrastructure. Although the research uses loop detector data, it would be equally applicable to the data obtained from any other traffic detector that provides a reproducible vehicle feature.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114601903","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
License plate tracking for car following with a single camera 用单摄像头跟踪汽车牌照
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398991
M. Zayed, J. Boonaert, M. Bayart
{"title":"License plate tracking for car following with a single camera","authors":"M. Zayed, J. Boonaert, M. Bayart","doi":"10.1109/ITSC.2004.1398991","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398991","url":null,"abstract":"In this article we present a new approach for car following. Generally, car following systems use active sensors or a stereoscopic system for 3D car localization. In this paper, we present a method that uses a license plate as an inherent car feature that can be tracked in real time. This visual information is then exploited to get the exact relative car localization needed by the car following system.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117000057","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: 11
On-line calibration of traffic prediction models 交通预测模型的在线定标
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398876
C. Antoniou, M. Ben-Akiva, H. Koutsopoulos
{"title":"On-line calibration of traffic prediction models","authors":"C. Antoniou, M. Ben-Akiva, H. Koutsopoulos","doi":"10.1109/ITSC.2004.1398876","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398876","url":null,"abstract":"A methodology for the on-line calibration of the speed-density relationship is formulated as a flexible state-space model. Applicable solution approaches are discussed and three of them (extended Kalman filter (EKF), iterated EKF, and unscented Kalman filter (UKF) are selected and presented in detail. An application of the methodology with freeway sensor data from two networks in Europe and the U.S. is presented. The improvement in the estimation and prediction of speeds due to on-line calibration (compared with the speeds obtained from the off-line calibrated relationship) is demonstrated. The EKF provides the most straightforward solution to this problem, and indeed achieves considerable improvements in estimation and prediction accuracy. The benefits obtained from the -more computationally expensive-iterated EKF algorithm are shown. An innovative solution technique (the UKF) is also presented. The UKF has a number of unique qualities and advantages over the EKF, including no assumption of analytical representation of the model and no need for explicit computation of derivatives. Empirical results suggest that the UKF outperforms the other two solution techniques in prediction accuracy.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123459143","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: 33
Traffic incident information management systems based on GIS-T 基于GIS-T的交通事故信息管理系统
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398955
G. Jiang, Mingchen Gu, Guohua Han, Xianping Yang
{"title":"Traffic incident information management systems based on GIS-T","authors":"G. Jiang, Mingchen Gu, Guohua Han, Xianping Yang","doi":"10.1109/ITSC.2004.1398955","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398955","url":null,"abstract":"Through the demands analyzing, this paper puts forward the framework and primary functions of the traffic incident information management system based on GIS-T and develops the system by using VB6.0 and MapBasic7.0. The system can intuitively provide real time traffic incident information for traffic manager and user. It can make the statistical analysis of traffic incident more convenient, and the identification of the traffic secure black spots and the analysis of their causes more beneficial. This system is valuable in improving the efficiency and effect of road traffic safety management.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124958543","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
Traffic monitoring at signal-controlled intersections and data mining for safety applications 信号控制交叉口的交通监控和安全应用的数据挖掘
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) Pub Date : 2004-10-03 DOI: 10.1109/ITSC.2004.1398924
Ching-yao Chan, D. Marco
{"title":"Traffic monitoring at signal-controlled intersections and data mining for safety applications","authors":"Ching-yao Chan, D. Marco","doi":"10.1109/ITSC.2004.1398924","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398924","url":null,"abstract":"Signal-controlled intersections in urban settings represent significant roadway junctions where traffic flows accumulate and intersect, and where accidents tend to concentrate due to the crossing paths of vehicles potentially in conflict. For intersection safety solutions, it is essential to gather the traffic flow information in real time so that proper advisory warning can be issued or control actions can be taken to minimize hazards and to avoid collisions. This work presents an exemplar set of data mining techniques based on real-world traffic monitoring. The methodology is illustrated by two case studies, collision warning for left-turn across-path scenarios and signal violation. The use of these techniques can yield valuable information applicable to a variety of roadway safety and traffic management applications.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869049","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: 17
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