{"title":"A high performance license plate recognition system based on the web technique","authors":"Dai Yan, Hongqing Ma, Liu Jilin, Langang Li","doi":"10.1109/ITSC.2001.948677","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948677","url":null,"abstract":"The license plate recognition (LPR) system is one kind of Intelligent transportation systems (ITS) and is of considerable interest because of its potential applications to such areas as highway electronic toll collection, red-light violation enforcement, secure-access control at parking lots and so on. The paper introduces the system framework and work flow of our LPR system which works based on the web technique. Some problems of the technical emphases and realization are also addressed. Capabilities under practical conditions show the effectiveness of the system.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123626620","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}
{"title":"Characterizing Braess's paradox for traffic networks","authors":"J. N. Hagstrom, R. Abrams","doi":"10.1109/ITSC.2001.948769","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948769","url":null,"abstract":"We generalize Braess's (1968) paradoxical example by defining a Braess paradox to occur when the Wardrop equilibrium distribution of traffic flows is not strongly Pareto optimal. We characterize a Braess paradox in terms of the solution to a mathematical program. Examples illustrate unexpected properties of these solutions. We discuss a computational approach to detecting a Braess paradox.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123645316","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}
X. Claeys, J. Yi, L. Alvarez, R. Horowitz, C. de Wit
{"title":"A dynamic tire/road friction model for 3D vehicle control and simulation","authors":"X. Claeys, J. Yi, L. Alvarez, R. Horowitz, C. de Wit","doi":"10.1109/ITSC.2001.948705","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948705","url":null,"abstract":"A tire/road friction model based on the LuGre dry friction model and on tire dynamics is presented. The dynamics of the longitudinal and lateral forces, and the self-aligning torque are described by a set of first order differential equations. This model is suitable for 3D vehicle traction/braking simulation and control. A comparison of the forces and torque produced by this dynamic model with the well known \"magic formula\" is presented.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121937576","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}
{"title":"A control authority transition system for collision avoidance","authors":"T. Acarman, Yaodong Pan, U. Ozguner","doi":"10.1109/ITSC.2001.948702","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948702","url":null,"abstract":"Drivers differ significantly in their skill levels, driving habits, capabilities and decisions especially when impaired by drugs, fatigue or physical handicaps. Late or inadequate responses to hazards and dangers may cause severe results. It may be possible to improve the ability of a driver to operate a vehicle safely if certain parameters in the control of the vehicle axe adjusted according to the driver's normal characteristics. Value has already been established for tailoring certain attributes such as seat, pedals, steering wheel position and mirrors to a given driver through memory functions. This research concentrates on assessing a driver's operating characteristics and modifying the control of the vehicle to improve safe operation of the vehicle on a real-time basis.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126289261","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}
{"title":"A neuro-fuzzy algorithm for coordinated traffic responsive ramp metering","authors":"K. Bogenberger, H. Keller, S. Vukanovic","doi":"10.1109/ITSC.2001.948636","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948636","url":null,"abstract":"This paper proposes a nonlinear approach for designing traffic responsive and coordinated ramp control using a self adapting fuzzy system. An adaptive neuro-fuzzy inference system (ANFIS) is used to incorporate a hybrid learning procedure into the control system. The traffic responsive metering rate is determined in every minute by the neuro-fuzzy control algorithm. Coordination between multiple on-ramps is ensured by the integration of a common input into all ramp controllers upstream of a bottleneck and a periodical update of the fuzzy control system in every 15 min. by a hybrid learning procedure. The objective of the online tuning process of the fuzzy parameters is to minimize the total time spent in the system. Therefore, Payne's traffic flow model and a deterministic queuing model are integrated into the control architecture To assess the impacts of the neuro-fuzzy ramp metering algorithm a section of 25 km of the A9 Autobahn was simulated with the FREQ model and compared with two other control scenarios. The results of the simulation of the neuro-fuzzy algorithm are very promising and an implementation of the neuro-fuzzy ramp metering system on a Munich middle ring road within the MOBINET project is planned.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122269754","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}
Enrique Ferreira, Eswaran Subrahmanian, D. Manstetten
{"title":"Intelligent agents in decentralized traffic control","authors":"Enrique Ferreira, Eswaran Subrahmanian, D. Manstetten","doi":"10.1109/ITSC.2001.948746","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948746","url":null,"abstract":"A multi-agent decentralized strategy to control an urban traffic network is presented. Each agent is in charge of managing the signals of an intersection. Local feedback information about an intersection state is obtained using lane sensors to implement an adaptive strategy for each agent. Cooperating behavior between agents is achieved by exchanging information, called \"opinions\", between adjacent agents to influence each other decisions. Results for this architecture are shown on a simulated environment modeling an area of the city of Pittsburgh, PA, and comparisons are made with other methods.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129965198","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}
{"title":"System design and analysis of repeating GPS","authors":"Yongguang Chen, Hisashi Kobayashl","doi":"10.1109/ITSC.2001.948619","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948619","url":null,"abstract":"This paper presents some different concepts between GPS and repeating GPS (RGPS). It also proposes a scheme to fit the idea of partial GPS into the RGPS system. Some block diagrams of analog/digital repeater and central processor, as well as their parameters and performances are analyzed and discussed to allow a more detailed system design in the future. As a part of the required power consumption estimation, the paper also determines the transmission power requirement of the GPS repeater based on typical power sensitivity of GPS receivers.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134095142","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}
{"title":"The PeMS algorithms for accurate, real-time estimates of g-factors and speeds from single-loop detectors","authors":"Zhanfeng Jia, Chao Chen, B. Coifman, P. Varaiya","doi":"10.1109/ITSC.2001.948715","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948715","url":null,"abstract":"Presents the PeMS algorithms for the accurate, adaptive, real-time estimation of the g-factor and vehicle speeds from single-loop detector data. The estimates are validated by comparison with independent, direct measurements of the g-factor and vehicle speeds from 20 double-loop detectors on I-80 over a three-month period. The algorithm is used to process data from all freeways in Caltrans District 12 (Orange County, CA) over a 20-month period beginning January 1998. Analysis of those data shows that the g-factors for different loops in the district differ by as much as 100 percent, and the g-factor for the same loop can vary up to 50 percent over a 24-hour period. Many transportation districts now post real-time speed and travel time estimates on the World Wide Web. Those estimates often are derived from single-loop detector data assuming a common g-factor for all detectors in the district. This study suggests that those estimates can be in error by 50 percent, and so they are of little value to travelers. The use of the PeMS algorithm will reduce those errors.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"477 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134172615","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}
{"title":"AI-based dynamic route guidance strategy and its simulation","authors":"Guogang He, Shoufeng Ma","doi":"10.1109/ITSC.2001.948624","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948624","url":null,"abstract":"Dynamic route guidance system must be intelligent because traffic flow process is a complex process with the high uncertainty. In this paper, a new strategy for dynamic route guidance based on artificial intelligence is proposed, and its simulation results are given.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134431484","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}
G. Garibotto, P. Castello, E. Del Ninno, P. Pedrazzi, G. Zan
{"title":"Speed-vision: speed measurement by license plate reading and tracking","authors":"G. Garibotto, P. Castello, E. Del Ninno, P. Pedrazzi, G. Zan","doi":"10.1109/ITSC.2001.948725","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948725","url":null,"abstract":"Our proposed approach, Speed Vision by license plate reading is aimed to compute the instantaneous speed of the vehicles using monocular as well as binocular system configurations. By tracking the vehicle in two images it is possible to get a high accurate estimation of the vehicle speed. The features used for matching and tracking are high level features (clusters of matched license plate characters). The processing system is actually connected into a larger distributed architecture based on standard CORBA interfaces to achieve a more efficient interconnection between the peripheral units and the central supervisor. The description of the processing scheme is supported by a simulation model, that is used to identify the most critical parameters of the system. Experimental results in the laboratory environment are discussed, by computing the accuracy in the computation of license plate displacement in different configurations. Finally, a series of experimental results were obtained using a binocular license plate reading system.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293319","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}