Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252745
Z. Xia, Tang Zhen Min, Yang Yu, He An Zhi
After the pavement is built up, to prolong its service life and reduce its maintenance expenses are the important things to consider. In order to make a rational maintenance plan, a thorough and accurate understanding in pavement surface situation is needed. In the past years, the measuring of the pavement surface state still depends on the handcraft or semiautomatic devices in China. These kinds of methods are not only extremely low in efficiency but also needs to close the transport. Nanjing University of Science and Technology (NJUST) developed an intelligent equipment for pavement surface measuring. Its main technical performance has already reached the level of the international similar products.
{"title":"N-1 style intelligent data gathering and processing system for pavement surface detecting","authors":"Z. Xia, Tang Zhen Min, Yang Yu, He An Zhi","doi":"10.1109/ITSC.2003.1252745","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252745","url":null,"abstract":"After the pavement is built up, to prolong its service life and reduce its maintenance expenses are the important things to consider. In order to make a rational maintenance plan, a thorough and accurate understanding in pavement surface situation is needed. In the past years, the measuring of the pavement surface state still depends on the handcraft or semiautomatic devices in China. These kinds of methods are not only extremely low in efficiency but also needs to close the transport. Nanjing University of Science and Technology (NJUST) developed an intelligent equipment for pavement surface measuring. Its main technical performance has already reached the level of the international similar products.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125759116","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252753
Weixiong Chen
The traffic simulation is a very useful method to analyze various kinds of traffic control algorithms. In this paper, a parallel simulation algorithm is presented. To imitate the traffic flows more really, we apply the queueing theory to the traffic flows and abstract the vehicles with some complex behavior such as accelerating, decelerating and overtaking. XML is also used to represent the various traffic elements. Finally, a parallel simulation experiment is made and the performance is analyzed.
{"title":"A parallel model for traffic simulation","authors":"Weixiong Chen","doi":"10.1109/ITSC.2003.1252753","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252753","url":null,"abstract":"The traffic simulation is a very useful method to analyze various kinds of traffic control algorithms. In this paper, a parallel simulation algorithm is presented. To imitate the traffic flows more really, we apply the queueing theory to the traffic flows and abstract the vehicles with some complex behavior such as accelerating, decelerating and overtaking. XML is also used to represent the various traffic elements. Finally, a parallel simulation experiment is made and the performance is analyzed.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046007","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252775
Zhishuo Liu, Jinsheng Shen, W. Guan, Zhiwen Zhang
By analyzing the pollution mode of urban environment system, this paper intends to establish a quantitative model system for calculating traffic environment carrying capacity (TECC). Moreover, after reviewing and analyzing the present research situation of traffic capacity, this paper classifies urban traffic capacity into macroUTC and microUTC, and quantitatively analyzes the former based on TECC. Finally, TECC and macroUTC model system is quantitatively and qualitatively applied respectively. The result of these applications displays that the model system proposed by this paper can be effectively used to control traffic development scale, seek for some appropriate approaches to improve urban ecological environment, meet the traffic environment control objective and realize the sustainable development of urban traffic eventually.
{"title":"Models for urban traffic capacity, traffic environment carrying capacity and their applications","authors":"Zhishuo Liu, Jinsheng Shen, W. Guan, Zhiwen Zhang","doi":"10.1109/ITSC.2003.1252775","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252775","url":null,"abstract":"By analyzing the pollution mode of urban environment system, this paper intends to establish a quantitative model system for calculating traffic environment carrying capacity (TECC). Moreover, after reviewing and analyzing the present research situation of traffic capacity, this paper classifies urban traffic capacity into macroUTC and microUTC, and quantitatively analyzes the former based on TECC. Finally, TECC and macroUTC model system is quantitatively and qualitatively applied respectively. The result of these applications displays that the model system proposed by this paper can be effectively used to control traffic development scale, seek for some appropriate approaches to improve urban ecological environment, meet the traffic environment control objective and realize the sustainable development of urban traffic eventually.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130443508","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252707
Mao Yanfen, S. Pengfei
Vehicle detection is one of the key technologies in intelligent transportation system (ITS), and it is an important stage of vehicle tracking in visual surveillance. Due to the clutter of traffic scenes, the captured video sequence involves many large noises. In analyzing human vision, the non-object area and shape suppression are defined, and a new noise-removing algorithm is proposed. To reduce the computational complexity, the sequential algorithm is improved. Experimental results show the effectiveness and efficiency of the algorithm in extracting the moving vehicles in a cluttered scene. The output of the vehicle's contour is very complete and accurate, and can be used in vehicle tracking system to improve the performance.
{"title":"Noise reduction algorithm of vehicle detection in intelligent transportation system","authors":"Mao Yanfen, S. Pengfei","doi":"10.1109/ITSC.2003.1252707","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252707","url":null,"abstract":"Vehicle detection is one of the key technologies in intelligent transportation system (ITS), and it is an important stage of vehicle tracking in visual surveillance. Due to the clutter of traffic scenes, the captured video sequence involves many large noises. In analyzing human vision, the non-object area and shape suppression are defined, and a new noise-removing algorithm is proposed. To reduce the computational complexity, the sequential algorithm is improved. Experimental results show the effectiveness and efficiency of the algorithm in extracting the moving vehicles in a cluttered scene. The output of the vehicle's contour is very complete and accurate, and can be used in vehicle tracking system to improve the performance.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127898495","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252709
Z. Chen, Liang Liu
AC electric motor drives are widely used in applications of electric vehicle and subway transportation. The dynamic performance of AC motor control strongly depends on the model parameter accuracy. As a result traditional control scheme cannot achieve good performance under uncertainty parameters. In this paper an improved compound gradient vector (ICGV) is investigated and applied in induction motor drive control. The convergent analysis of the algorithm indicates that because the improved compound gradient vector is employed, the convergent speed of the algorithm can outperform that of the BP algorithm. Some simulations have been carried out and the results verify that satisfactory convergent performance and strong robustness are obtained in AC motor drive control involving uncertainty parameters with ICGV algorithm.
{"title":"Neural networks based electric motor drive for transportation systems","authors":"Z. Chen, Liang Liu","doi":"10.1109/ITSC.2003.1252709","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252709","url":null,"abstract":"AC electric motor drives are widely used in applications of electric vehicle and subway transportation. The dynamic performance of AC motor control strongly depends on the model parameter accuracy. As a result traditional control scheme cannot achieve good performance under uncertainty parameters. In this paper an improved compound gradient vector (ICGV) is investigated and applied in induction motor drive control. The convergent analysis of the algorithm indicates that because the improved compound gradient vector is employed, the convergent speed of the algorithm can outperform that of the BP algorithm. Some simulations have been carried out and the results verify that satisfactory convergent performance and strong robustness are obtained in AC motor drive control involving uncertainty parameters with ICGV algorithm.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131240352","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252720
Zhao Xiuxu, S. Buyun, H. Yefa, Zhou Zude
Consumer's needs are too diversified to be fit individually, mass customization become more and more necessary driven by the customer-oriented market. In this paper, the concept of customer-driven product design and manufacturing of mass customization are discussed. The Web-based solution which enables the interactive design and collaborative development of customizing products is put forward. The architecture and main modules of prototyping implementation platform are introduced. These provide the integrated platform for mass customization. Customers can have direct access to the product design project and incorporate new product development with designer by using a Web-browser or other application systems based on the platform. An instance is given in the last part of this article.
{"title":"A WWW-based customer-driven product design and manufacturing solution for mass customization","authors":"Zhao Xiuxu, S. Buyun, H. Yefa, Zhou Zude","doi":"10.1109/ITSC.2003.1252720","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252720","url":null,"abstract":"Consumer's needs are too diversified to be fit individually, mass customization become more and more necessary driven by the customer-oriented market. In this paper, the concept of customer-driven product design and manufacturing of mass customization are discussed. The Web-based solution which enables the interactive design and collaborative development of customizing products is put forward. The architecture and main modules of prototyping implementation platform are introduced. These provide the integrated platform for mass customization. Customers can have direct access to the product design project and incorporate new product development with designer by using a Web-browser or other application systems based on the platform. An instance is given in the last part of this article.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123106103","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252664
D. Khosla
This paper describes an adaptive Kalman filter based method for accurate estimation of forward path geometry of an automobile. The forward geometry is modeled as two contiguous clothoid segments with different geometries and continuous curvature across the transition between them. This results in a closed-form parametric expression of the same polynomial order as previous models. Instead of using a conventional Kalman filter with fixed process model parameters based on a compromise between noise and filter lag, we adaptively tune the process model parameters. This results in the better filter performance with stable estimates during constant geometry scenarios and faster response during abrupt geometry transitions. Performance evaluation of the proposed method on various simulated road geometries and comparing with previous approaches demonstrate the feasibility and higher accuracy of the proposed method. The high accuracy estimation of forward path or road geometry is directly useful in applications that rely on detecting targets in the forward path of the host vehicle, e.g., adaptive cruise control and automotive collision warning.
{"title":"Adaptive Kalman filter approach for road geometry estimation","authors":"D. Khosla","doi":"10.1109/ITSC.2003.1252664","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252664","url":null,"abstract":"This paper describes an adaptive Kalman filter based method for accurate estimation of forward path geometry of an automobile. The forward geometry is modeled as two contiguous clothoid segments with different geometries and continuous curvature across the transition between them. This results in a closed-form parametric expression of the same polynomial order as previous models. Instead of using a conventional Kalman filter with fixed process model parameters based on a compromise between noise and filter lag, we adaptively tune the process model parameters. This results in the better filter performance with stable estimates during constant geometry scenarios and faster response during abrupt geometry transitions. Performance evaluation of the proposed method on various simulated road geometries and comparing with previous approaches demonstrate the feasibility and higher accuracy of the proposed method. The high accuracy estimation of forward path or road geometry is directly useful in applications that rely on detecting targets in the forward path of the host vehicle, e.g., adaptive cruise control and automotive collision warning.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122235627","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252642
Y. Pei, Yi-shun Lang
Traffic congestion is widely distributed around network. Generally to analyze the traffic congestion static traffic capacity is adopted. But the dynamic characteristic must be studied because the congestion is a dynamic process. Dynamic traffic assignment modeling fundamental combined with urban congestion analysis method is studied in this paper. Three methods are erected on congestion analysis especially the stochastic user optimal DTA models is considered. Correspondingly, dynamic system optimal model is suggested to responding congestion countermeasure and ideal user optimal model to predicted congestion countermeasure respectively.
{"title":"Research on dynamic traffic assignment applied in traffic congestion analyze and management","authors":"Y. Pei, Yi-shun Lang","doi":"10.1109/ITSC.2003.1252642","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252642","url":null,"abstract":"Traffic congestion is widely distributed around network. Generally to analyze the traffic congestion static traffic capacity is adopted. But the dynamic characteristic must be studied because the congestion is a dynamic process. Dynamic traffic assignment modeling fundamental combined with urban congestion analysis method is studied in this paper. Three methods are erected on congestion analysis especially the stochastic user optimal DTA models is considered. Correspondingly, dynamic system optimal model is suggested to responding congestion countermeasure and ideal user optimal model to predicted congestion countermeasure respectively.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":" 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935821","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252764
Xu Kaihua, L. Yuhua
In this paper, we review the status of intelligent transportation systems (ITS). We describe a novel intelligent transportation monitoring and management system based on GPRS wireless communication technology designed and realized by us, present the logic structure and functions of this system, and explain its integrated working mechanism. Furthermore, we explore the ways to realize such a system and key technologies involved. Finally, we point out the near-future development directions of ITS in China based on GPRS wireless communication.
{"title":"A novel intelligent transportation monitoring and management system based on GPRS","authors":"Xu Kaihua, L. Yuhua","doi":"10.1109/ITSC.2003.1252764","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252764","url":null,"abstract":"In this paper, we review the status of intelligent transportation systems (ITS). We describe a novel intelligent transportation monitoring and management system based on GPRS wireless communication technology designed and realized by us, present the logic structure and functions of this system, and explain its integrated working mechanism. Furthermore, we explore the ways to realize such a system and key technologies involved. Finally, we point out the near-future development directions of ITS in China based on GPRS wireless communication.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121352188","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}
Pub Date : 2003-12-19DOI: 10.1109/ITSC.2003.1252631
Chen’ Yanyan, Liang Ying, Du Huabing
Vehicle automatic navigation system plays an important role in intelligent transportation system, the model of optimum route selection used for the system is built in the paper. Considering the randomicity of traffic demand and supply, the unblocked reliability of the road is used to dispose the uncertainty of the congestion happening. Taking advantage of historical data and experience, the optimum route can be decided based on the analysis of unblocked reliability and the circuitous length, which can provide the reasonable route guidance to the traveler even without real time traffic information.
{"title":"The model of optimum route selection in vehicle automatic navigation system based on unblocked reliability analyses","authors":"Chen’ Yanyan, Liang Ying, Du Huabing","doi":"10.1109/ITSC.2003.1252631","DOIUrl":"https://doi.org/10.1109/ITSC.2003.1252631","url":null,"abstract":"Vehicle automatic navigation system plays an important role in intelligent transportation system, the model of optimum route selection used for the system is built in the paper. Considering the randomicity of traffic demand and supply, the unblocked reliability of the road is used to dispose the uncertainty of the congestion happening. Taking advantage of historical data and experience, the optimum route can be decided based on the analysis of unblocked reliability and the circuitous length, which can provide the reasonable route guidance to the traveler even without real time traffic information.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125179718","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}
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