Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems最新文献_第4页

Development of an improved ERP system using GPS and an intelligent search technique 利用GPS和智能搜索技术开发改进的ERP系统

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041347

D. Srinivasn, Ruey Long Chou, E. Yeo

{"title":"Development of an improved ERP system using GPS and an intelligent search technique","authors":"D. Srinivasn, Ruey Long Chou, E. Yeo","doi":"10.1109/ITSC.2002.1041347","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041347","url":null,"abstract":"Absmcf: This papcr dcscribcs thc development of an improved BLcctronic Kvad Pricing (ER€') system for chnrging vehicles that trnvcl on public roadways, using GPS and an inlclligcnl starch technique. The new approach ensbhs a rcnl-time assessment of road user charges based on actual mnd usage, mileage accrual, type of m d , and driving conditions. Inputs to the pricing system inchdc inltonnation from a global positioning system (GPS) rocciva and storcd infonnation on the mad system, such as, location of mid segiiients, classificntion of these scgmcnts, niid spccinl pricing d c s for each segment. The infonnation rwivcd from the GPS rccciver is used to map the vehicle accuratdy on the rood using a transformation matrix, which inaps the global coordinates to x-y plane coordinates. An intolligcnt soarch algorilhm has been used to ovcrcmiic llic limitation of currcnt GPS system to accunitcly pin point a vchicle on the map. Simulations were caricd out on actual data obtained from a road network. RcsulL~ from simulntion runs have been satisfactory. The systwn now awaits migration to the actual vehicle for further tcsting.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122032345","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

Development of a fuzzy neural network color image vehicular detection. (FNNCIVD) system 基于模糊神经网络的彩色图像车辆检测。(FNNCIVD)系统

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041194

L. Lan, A. Kuo

引用次数: 6

Low cost SINS/GPS integration for land vehicle navigation 用于陆地车辆导航的低成本SINS/GPS集成

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041341

F. Cao, D.K. Yang, A.G. Xu, J. Ma, W.D. Xiao, C.L. Law, K. Ling, H. C. Chua

{"title":"Low cost SINS/GPS integration for land vehicle navigation","authors":"F. Cao, D.K. Yang, A.G. Xu, J. Ma, W.D. Xiao, C.L. Law, K. Ling, H. C. Chua","doi":"10.1109/ITSC.2002.1041341","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041341","url":null,"abstract":"The recent progress in the field of micro-electromechanical systems (MEMS) has made low cost inertial devices become a possible option for land navigation. However, the weak stand-alone accuracy and poor run-to-run stability of low cost inertial devices make them not usable as a sole navigation system. Even the integration of them as a supporting device into a navigation system requires non-traditional approaches and algorithms. The objective of this paper is to assess the feasibility of using this kind of low cost inertial device, specifically the Crossbow DMU-6X, integrated with GPS information, to provide the navigation capability to bridge the GPS outages for tens of seconds. A series of tests were conducted in a land vehicle. Post-processing results show that when the GPS signal is available, the position accuracy of low cost SINS/GPS integration is same as that of GPS only. With the complete loss of GPS signals, position error is shown to be less than 10 meters, after 10 seconds. From these results, we can conclude that although GPS and current low cost IMU integration cannot improve the absolute positioning accuracy, it has a high data update rate and can give motion information by SINS only when GPS is not available for a short time, such as in heavily forested areas, in urban centers, in buildings or underground.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127084590","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: 38

Mobile vision-based vehicle tracking and traffic control 基于移动视觉的车辆跟踪与交通控制

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041181

T. Rabie, A. Shalaby, B. Abdulhai, A. El-Rabbany

引用次数: 27

Holonic control of large-scale automated logistic systems 大规模自动化物流系统的全息控制

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041339

C. Versteegt, A. Verbraeck

引用次数: 11

A MAC layer protocol for real-time inter-vehicle communication 用于实时车辆间通信的MAC层协议

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041242

A. Pal, A. Dogan, F. Özgüner, U. Ozguner

引用次数: 17

Contour extraction and tracking of moving vehicles for traffic monitoring 交通监控中移动车辆的轮廓提取与跟踪

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041193

Zhimin Fan, Jie Zhou, Dashan Gao, L. Zhiheng

引用次数: 14

Intelligent freight train ID recognition system 智能货运列车身份识别系统

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041254

Ding Liya, Liu Jilin

引用次数: 3

A rapid algorithm for GPS ambiguity decorrelation GPS模糊度解相关快速算法

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041340

Chen Shu-xin, Wang Yong-sheng, Deng Yan

引用次数: 2

Driver hypovigilance diagnosis using wavelets and statistical analysis 基于小波和统计分析的驾驶员低警觉性诊断

Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems Pub Date : 2002-09-03 DOI: 10.1109/ITSC.2002.1041207

A. Santana Diaz, B. Jammes, D. Estève, M. Gonzalez Mendoza

{"title":"Driver hypovigilance diagnosis using wavelets and statistical analysis","authors":"A. Santana Diaz, B. Jammes, D. Estève, M. Gonzalez Mendoza","doi":"10.1109/ITSC.2002.1041207","DOIUrl":"https://doi.org/10.1109/ITSC.2002.1041207","url":null,"abstract":"This paper presents a driver vigilance diagnosis system based on the analysis of measured signals with wavelets and the computation of their statistical characteristics inside variable length time-windows. Such a system should characterize the driving mode of an unspecified vigilant driver in order to detect a modification of the way of driving due to the fall of vigilance. The signals that we assume to be able to characterize the driving mode are: the position of the vehicle inside the traffic lane, also called lateral position, the steering wheel angle and vehicle speed. This study has been performed with data collected in real traffic conditions. To determine the driving characteristics of vigilant driver we have selected few driving sequences where both the EEG analysis and the driver self-evaluation indicate the driver was vigilant. Then, we qualify the relevance of our system, particularly the choice of the variable used for the diagnostic, by comparing the diagnostic produces by our system with the physiological state of the driver based on EEG analysis and the driver self-evaluation.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124860214","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