Pub Date : 2012-06-18DOI: 10.1109/DEST.2012.6227949
Jana Görmer, J. Müller
Next-generation traffic management systems will make use of on-board intelligence and communication capabilities of vehicles and traffic infrastructure. In this paper, we investigate a multiagent approach allowing vehicle agents to form groups in order to co-ordinate their speed and lane choices. Our hypothesis is that a decentralized approach based on a co-operative driving method can contribute to higher and smoother traffic flow, leading to higher speeds and less delays. Our focus is on automated vehicle decision models. We develop a group-oriented driving method with vehicle agents that perceive their environment and exchange information. The paper proposes decentralized dynamic vehicle grouping algorithm, a conflict detection and global coordination method, and defines individual driving strategies for vehicles. For validation, we compare our method with a driving method implemented in the commercial traffic simulation platform AIMSUN. Experimental results indicate that group formation and group coordination methods can improveme traffic network throughput.
{"title":"Multiagent system architecture and method for group-oriented traffic coordination","authors":"Jana Görmer, J. Müller","doi":"10.1109/DEST.2012.6227949","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227949","url":null,"abstract":"Next-generation traffic management systems will make use of on-board intelligence and communication capabilities of vehicles and traffic infrastructure. In this paper, we investigate a multiagent approach allowing vehicle agents to form groups in order to co-ordinate their speed and lane choices. Our hypothesis is that a decentralized approach based on a co-operative driving method can contribute to higher and smoother traffic flow, leading to higher speeds and less delays. Our focus is on automated vehicle decision models. We develop a group-oriented driving method with vehicle agents that perceive their environment and exchange information. The paper proposes decentralized dynamic vehicle grouping algorithm, a conflict detection and global coordination method, and defines individual driving strategies for vehicles. For validation, we compare our method with a driving method implemented in the commercial traffic simulation platform AIMSUN. Experimental results indicate that group formation and group coordination methods can improveme traffic network throughput.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129561196","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 : 2012-06-01DOI: 10.1109/DEST.2012.6227900
M. Huhn, J. Müller, Bernardo Wagner
Cyber-Physical Systems are a synergetic composition of computational control and physical actors. They aim to achieve an enhanced functionality that relies on both, the interaction with and coordination in between the physical and the virtual components.
{"title":"Track H: Cyber-Physical ecosystems in robotics and telematics","authors":"M. Huhn, J. Müller, Bernardo Wagner","doi":"10.1109/DEST.2012.6227900","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227900","url":null,"abstract":"Cyber-Physical Systems are a synergetic composition of computational control and physical actors. They aim to achieve an enhanced functionality that relies on both, the interaction with and coordination in between the physical and the virtual components.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130415694","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 : 2010-10-01DOI: 10.1109/DEST.2012.6227929
D. Krefting, S. Canisius, Jie Wu, René Siewert, S. Specovius, K. Kesper, T. Penzel
Personal Health Systems are developed for individualized diagnosis, prevention and treatment depending on the actual health-state of the regarding person with a minimum of interference of his or her daily life. They imply the continuous or at least frequent monitoring of the person's health status, subsequent evaluation and possible action initialization, may it be feedback to the patient, a message to the attending physician or the readjustment of a therapeutical device. In this paper, we propose personal health systems that combine new sensor and information technologies. They allow for extensive undisturbing biosignal acquisition at the person's home and comprehensive data processing and analysis using a grid infrastructure. The grid can be considered as a virtual space where people can share their personal health data with attending medical professionals and where an individual and adaptive set of processing and analysis tools is available in a uniform, easy-to-access and cost-efficient way. The current state of public IT networks and grid infrastructures may not allow real-time applications, while complex near-term postprocessing and decision support can be accomplished. The presented systems are dedicated to sleep related breathing disorders, but the underlying concept may also be suitable for other use-cases.
{"title":"Personal health systems for diagnostics of sleep disorders using new sensors and grid technology","authors":"D. Krefting, S. Canisius, Jie Wu, René Siewert, S. Specovius, K. Kesper, T. Penzel","doi":"10.1109/DEST.2012.6227929","DOIUrl":"https://doi.org/10.1109/DEST.2012.6227929","url":null,"abstract":"Personal Health Systems are developed for individualized diagnosis, prevention and treatment depending on the actual health-state of the regarding person with a minimum of interference of his or her daily life. They imply the continuous or at least frequent monitoring of the person's health status, subsequent evaluation and possible action initialization, may it be feedback to the patient, a message to the attending physician or the readjustment of a therapeutical device. In this paper, we propose personal health systems that combine new sensor and information technologies. They allow for extensive undisturbing biosignal acquisition at the person's home and comprehensive data processing and analysis using a grid infrastructure. The grid can be considered as a virtual space where people can share their personal health data with attending medical professionals and where an individual and adaptive set of processing and analysis tools is available in a uniform, easy-to-access and cost-efficient way. The current state of public IT networks and grid infrastructures may not allow real-time applications, while complex near-term postprocessing and decision support can be accomplished. The presented systems are dedicated to sleep related breathing disorders, but the underlying concept may also be suitable for other use-cases.","PeriodicalId":320291,"journal":{"name":"2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216555","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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