Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future最新文献
Pub Date : 1995-07-30DOI: 10.1109/VNIS.1995.518855
G. Chang, M. Vasudevan, Chih-Chiang Su
To explore the advantage of integrating bus-preemption with adaptive signal control, this study has produced two integrated models for adaptive bus-preemption control in the absence and presence of automatic vehicle location (AVL) systems. Instead of using prespecified strategies (such as phase extension, phase early start and/or special bus phase) the proposed models make a preemption decision based on a performance index which includes vehicle delay, bus schedule delay, and passenger delay. This study also contains an extensive simulation evaluation with respect to the integration of adaptive control with bus-preemption. Under both with and without AVL environments, both developed models yield quite promising results.
{"title":"Modeling and evaluation of adaptive bus-preemption control with and without AVL systems","authors":"G. Chang, M. Vasudevan, Chih-Chiang Su","doi":"10.1109/VNIS.1995.518855","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518855","url":null,"abstract":"To explore the advantage of integrating bus-preemption with adaptive signal control, this study has produced two integrated models for adaptive bus-preemption control in the absence and presence of automatic vehicle location (AVL) systems. Instead of using prespecified strategies (such as phase extension, phase early start and/or special bus phase) the proposed models make a preemption decision based on a performance index which includes vehicle delay, bus schedule delay, and passenger delay. This study also contains an extensive simulation evaluation with respect to the integration of adaptive control with bus-preemption. Under both with and without AVL environments, both developed models yield quite promising results.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125868600","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518815
Amoeba T S Chang
An advanced signal system, named INTELS (with subsystems, ITSS, IMSS, and MCC), has been proposed for several years and has been upgraded recently. Originally, it only used an expert system to generate a suitable phase during each beginning state of the timing determination; thus no cycle with a steady sequence was possible. Except for the above function, the system is being remodeled to possess the capability of planning optimal timing by using a reasonable traffic forecasting model via an artificial neural network. This paper describes the system's framework, executing process, and the abstract control structure, including the phase generation and the timing design.
{"title":"Adaptive signal control expert by artificial neural network training","authors":"Amoeba T S Chang","doi":"10.1109/VNIS.1995.518815","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518815","url":null,"abstract":"An advanced signal system, named INTELS (with subsystems, ITSS, IMSS, and MCC), has been proposed for several years and has been upgraded recently. Originally, it only used an expert system to generate a suitable phase during each beginning state of the timing determination; thus no cycle with a steady sequence was possible. Except for the above function, the system is being remodeled to possess the capability of planning optimal timing by using a reasonable traffic forecasting model via an artificial neural network. This paper describes the system's framework, executing process, and the abstract control structure, including the phase generation and the timing design.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133855882","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518871
T. Garrett
The Portable Traffic Management System (PTMS) is the first operational test project completed within the Minnesota Guidestar Program. The project was started in the winter of 1993 and was completed in November 1994. The operational test evaluation assessed the impacts of PTMS traffic management at various event locations throughout the Twin Cities metropolitan area. This paper describes the development and functionality of the system and presents the results of the operational test. The conclusions drawn from the operational test present the benefits derived from the system and provide a description of the best event site locations for future deployment.
{"title":"Minnesota Guidestar's Portable Traffic Management System: operational test results","authors":"T. Garrett","doi":"10.1109/VNIS.1995.518871","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518871","url":null,"abstract":"The Portable Traffic Management System (PTMS) is the first operational test project completed within the Minnesota Guidestar Program. The project was started in the winter of 1993 and was completed in November 1994. The operational test evaluation assessed the impacts of PTMS traffic management at various event locations throughout the Twin Cities metropolitan area. This paper describes the development and functionality of the system and presents the results of the operational test. The conclusions drawn from the operational test present the benefits derived from the system and provide a description of the best event site locations for future deployment.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131355067","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518876
B. Andersen, M. Nygård, I. Christiansen
This paper addresses the regional road traffic centres (RRTC) which the Norwegian Public Roads Administration (NPRA) has recently established. The RRTC employ information technology to improve road and traffic monitoring along with providing car drivers with immediate and accurate information. They already cooperate in an integrated fashion and will act as a laboratory for research and development.
{"title":"RTI/ITS in integrated operation-Norway's regional road traffic centres","authors":"B. Andersen, M. Nygård, I. Christiansen","doi":"10.1109/VNIS.1995.518876","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518876","url":null,"abstract":"This paper addresses the regional road traffic centres (RRTC) which the Norwegian Public Roads Administration (NPRA) has recently established. The RRTC employ information technology to improve road and traffic monitoring along with providing car drivers with immediate and accurate information. They already cooperate in an integrated fashion and will act as a laboratory for research and development.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"15 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104352","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518889
T. Tsumura, H. Okubo, N. Komatsu, N. Aoki
This paper presents a new two-way data communication system for road vehicle control using laser beams and corner cubes. This system shows good performance for data communication between vehicles on the road or between vehicles and terminals over the road. This system uses laser transceivers and respondent devices to realize two-way communication. The respondent device consists of laser receivers and optical modulators using corner cube prisms and piezoelectric cells. The operation principle of this system is confirmed by experiments.
{"title":"Optical two-way communication system for vehicles using lasers and corner cubes","authors":"T. Tsumura, H. Okubo, N. Komatsu, N. Aoki","doi":"10.1109/VNIS.1995.518889","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518889","url":null,"abstract":"This paper presents a new two-way data communication system for road vehicle control using laser beams and corner cubes. This system shows good performance for data communication between vehicles on the road or between vehicles and terminals over the road. This system uses laser transceivers and respondent devices to realize two-way communication. The respondent device consists of laser receivers and optical modulators using corner cube prisms and piezoelectric cells. The operation principle of this system is confirmed by experiments.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115836908","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518834
B. Ramanathan, M. McNally, R. Jayakrishnan
This paper presents a mathematical formulation for the problem of optimizing the operations of a modern traffic signal in a possibly offline evaluation mode. The demand is assumed to be known for the entire optimization period. The signal operations are acyclic, with no fixed staging or stage durations. Solution techniques for the resulting nonlinear mixed integer program are discussed. It is envisaged that the technique can be used to obtain the optimal signal control over a time horizon as a benchmark to compare the performance of other signal control techniques including adaptive control schemes.
{"title":"Formulation of modern signal control operations as a non-linear mixed integer program","authors":"B. Ramanathan, M. McNally, R. Jayakrishnan","doi":"10.1109/VNIS.1995.518834","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518834","url":null,"abstract":"This paper presents a mathematical formulation for the problem of optimizing the operations of a modern traffic signal in a possibly offline evaluation mode. The demand is assumed to be known for the entire optimization period. The signal operations are acyclic, with no fixed staging or stage durations. Solution techniques for the resulting nonlinear mixed integer program are discussed. It is envisaged that the technique can be used to obtain the optimal signal control over a time horizon as a benchmark to compare the performance of other signal control techniques including adaptive control schemes.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555057","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518827
S. Carlson, C. Barclay, J. O'connor, G. Duckworth, J. Heine, B. Papazian, M. Steele
Speech recognition technology has potential for application to intelligent transportation systems (ITS) in the area of advanced traveler information systems (ATIS). ATIS areas which can greatly benefit from speech recognition are: pre-trip traffic information; en-route traffic information; route guidance; ride matching and reservation; transit information services; and traffic and transit management control centers. This paper concentrates on telephony applications of speech recognition to two ATIS applications, real-time traffic information and public transit information. We first discuss the general considerations involved in development of a multiline speech interface to a traffic or transit database, including system architecture and sizing, and the development of dialogs and grammars which are user friendly and efficient. We then discuss two prototype applications of this technology using BBN's HARK speaker-independent speech recognition product. The first is to SmartRoute System's SmarTraveler traveler information system, which was an FHWA Operational Test, and the second to Montgomery County Maryland's public transit system. These were small scale tests to help us develop the technology required for full-scale implementations, but showed that the speech interface was practical, and provided much improved ease of use and performance over conventional touch tone based interactive voice response (IVR) systems.
{"title":"Application of speech recognition technology to ITS advanced traveler information systems","authors":"S. Carlson, C. Barclay, J. O'connor, G. Duckworth, J. Heine, B. Papazian, M. Steele","doi":"10.1109/VNIS.1995.518827","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518827","url":null,"abstract":"Speech recognition technology has potential for application to intelligent transportation systems (ITS) in the area of advanced traveler information systems (ATIS). ATIS areas which can greatly benefit from speech recognition are: pre-trip traffic information; en-route traffic information; route guidance; ride matching and reservation; transit information services; and traffic and transit management control centers. This paper concentrates on telephony applications of speech recognition to two ATIS applications, real-time traffic information and public transit information. We first discuss the general considerations involved in development of a multiline speech interface to a traffic or transit database, including system architecture and sizing, and the development of dialogs and grammars which are user friendly and efficient. We then discuss two prototype applications of this technology using BBN's HARK speaker-independent speech recognition product. The first is to SmartRoute System's SmarTraveler traveler information system, which was an FHWA Operational Test, and the second to Montgomery County Maryland's public transit system. These were small scale tests to help us develop the technology required for full-scale implementations, but showed that the speech interface was practical, and provided much improved ease of use and performance over conventional touch tone based interactive voice response (IVR) systems.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126376805","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518858
M. Van Aerde, Hesham A Rakha
This paper presents a multivariate procedure for performing automated fitting of speed-flow relationships for different roads based on loop detector data. The procedure is shown to fit the observations for different freeway, tunnel and arterial data, thus demonstrating its flexibility in terms of representing different types of roads. Furthermore, the procedure also provides a fit that is reasonable for all data regimes, unlike many other single regime models that only fit free-flow or forced flow conditions data. Finally, this single-regime model provides a quality of fit that is consistent with most multi-regime models, without the need to deal with the complexities associated with the selection of regime break points. In addition to demonstrating the fit of the model to well known sample data from a standard traffic flow text books, fits to three different recent data sets with 1 to 5 minute loop detector data are also presented. These fits demonstrate that the flexibility of the proposed technique to deal with real-time data for both Europe and North America.
{"title":"Multivariate calibration of single regime speed-flow-density relationships [road traffic management]","authors":"M. Van Aerde, Hesham A Rakha","doi":"10.1109/VNIS.1995.518858","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518858","url":null,"abstract":"This paper presents a multivariate procedure for performing automated fitting of speed-flow relationships for different roads based on loop detector data. The procedure is shown to fit the observations for different freeway, tunnel and arterial data, thus demonstrating its flexibility in terms of representing different types of roads. Furthermore, the procedure also provides a fit that is reasonable for all data regimes, unlike many other single regime models that only fit free-flow or forced flow conditions data. Finally, this single-regime model provides a quality of fit that is consistent with most multi-regime models, without the need to deal with the complexities associated with the selection of regime break points. In addition to demonstrating the fit of the model to well known sample data from a standard traffic flow text books, fits to three different recent data sets with 1 to 5 minute loop detector data are also presented. These fits demonstrate that the flexibility of the proposed technique to deal with real-time data for both Europe and North America.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122044512","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518840
K. Chang, Jae Sung Choi
In advanced vehicle control systems (AVCS), autonomous intelligent cruise control (AICC) is generally understood to be a system that can be achieved in the near future without the demanding infrastructure components and technologies. AICC is an automatic vehicle following system with no human engagement in the longitudinal vehicle direction. This paper presents a fuzzy control algorithm to develop an AICC system, and examines the control performance in formation of vehicles using computer simulations. The most important aspect of the work reported here is the adoption of the fuzzy adaptive control law, and the use of filtering concept to reduce the slinky-effects that may appear in a formation of vehicles equipped with AICC systems. The simulation results demonstrate the effectiveness of the fuzzy adaptive AICC system and its beneficial effects on traffic flow.
{"title":"Automatic vehicle following using the fuzzy logic","authors":"K. Chang, Jae Sung Choi","doi":"10.1109/VNIS.1995.518840","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518840","url":null,"abstract":"In advanced vehicle control systems (AVCS), autonomous intelligent cruise control (AICC) is generally understood to be a system that can be achieved in the near future without the demanding infrastructure components and technologies. AICC is an automatic vehicle following system with no human engagement in the longitudinal vehicle direction. This paper presents a fuzzy control algorithm to develop an AICC system, and examines the control performance in formation of vehicles using computer simulations. The most important aspect of the work reported here is the adoption of the fuzzy adaptive control law, and the use of filtering concept to reduce the slinky-effects that may appear in a formation of vehicles equipped with AICC systems. The simulation results demonstrate the effectiveness of the fuzzy adaptive AICC system and its beneficial effects on traffic flow.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668521","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 : 1995-07-30DOI: 10.1109/VNIS.1995.518846
R. Vojak, M. Danech-Pajouh
We present a first approach for short-term forecasting of traffic flow data using multifractal analysis. The acquisition time is assumed very small (1 minute in our case), which yields highly irregular data well suited to multifractal analysis. We perform predictions with different horizons (from 1 minute to 15 minutes) and come up with satisfactory results. We then present a possible improvement to this approach based on multinomial measures and results on multifractal correlations.
{"title":"Short-term prediction of a nonrecurrent road traffic using multifractal tools","authors":"R. Vojak, M. Danech-Pajouh","doi":"10.1109/VNIS.1995.518846","DOIUrl":"https://doi.org/10.1109/VNIS.1995.518846","url":null,"abstract":"We present a first approach for short-term forecasting of traffic flow data using multifractal analysis. The acquisition time is assumed very small (1 minute in our case), which yields highly irregular data well suited to multifractal analysis. We perform predictions with different horizons (from 1 minute to 15 minutes) and come up with satisfactory results. We then present a possible improvement to this approach based on multinomial measures and results on multifractal correlations.","PeriodicalId":337008,"journal":{"name":"Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122325656","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}
Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future
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