{"title":"Real-time traffic-data analysis","authors":"S. Chawathe","doi":"10.1109/ITSC.2004.1398881","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398881","url":null,"abstract":"We describe a method for real-time monitoring of data generated by traffic sensors. We provide a system architecture and discuss three key components: (1) a streaming query processor that is used to reduce the volume of data; (2) a pattern-matching module that is used to detect when a developing traffic situation resembles one flagged earlier; and (3) an interface that efficiently displays the stream of sensor data in a user-configurable manner.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124459745","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}
J. Burgoon, M. Adkins, J. Kruse, M. Jensen, A. Deokar, D.P. Twitchell, S. Lu, D. N. Metaxas, J. Nunamaker, R. Younger
{"title":"Moving toward intent detection: a tool-based approach","authors":"J. Burgoon, M. Adkins, J. Kruse, M. Jensen, A. Deokar, D.P. Twitchell, S. Lu, D. N. Metaxas, J. Nunamaker, R. Younger","doi":"10.1109/ITSC.2004.1398883","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398883","url":null,"abstract":"Past research in deception detection at the University of Arizona has guided the investigation of intent detection. A theoretical foundation and model for the analysis of intent detection is proposed. Available test beds for intent analysis are discussed and two proof-of-concept studies exploring nonverbal communication within the context of intent detection are shared.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124540029","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":"Driver cognitive workload estimation: a data-driven perspective","authors":"Yilu Zhang, Yuri Owechko, Jing Zhang","doi":"10.1109/ITSC.2004.1398976","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398976","url":null,"abstract":"Driver workload estimation (DWE) refers to the activities of monitoring a driver and the driving environment in real-time and acquiring the knowledge of the driver's workload continuously. With this knowledge of the driver's workload, the in-vehicle information systems (IVIS) can provide information on when the driver has the spare capacity to receive and comprehend it, which is both effective and efficient. However, after years of study, it is still difficult to build a robust DWE system. In this paper, we analyze the difficulties facing the existing methodology of developing DWE systems and propose a machine-learning-based DWE development process. Some preliminary but promising results are reported using a popular machine-learning method, the decision tree.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123377117","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":"An assessment of ISA impacts through micro-simulation","authors":"J. Piao, M. McDonald, T. Voge, Yanying Li","doi":"10.1109/ITSC.2004.1398941","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398941","url":null,"abstract":"As a new approach, intelligent speed adaptation (ISA) systems are being developed to provide drivers with assistance for controlling their driving speeds. In this study, ISA impacts were investigated through micro-simulation. The simulation results show that ISA has positive impacts on safety in terms of reducing speeds and speed variations. Applying ISA can harmonizing vehicle speeds between and within lanes, which results in reductions of the number of lane changes and short time-to-collision events. However, journey times could be increased because of speed decreases. This is part of the work of STARDUST, an EU project aimed at assessing the extent to which advanced driver assistance systems (ADAS) and automated vehicle guidance (AVG) systems can contribute to sustainable urban development. The main objective of this simulation study was to assess what impacts intelligent speed adaptation (ISA) have on traffic performances.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115498499","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":"Using Bluetooth and sensor networks for intelligent transportation systems","authors":"H. Sawant, Jindong Tan, Qingyan Yang, Qizhi Wang","doi":"10.1109/ITSC.2004.1398999","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398999","url":null,"abstract":"Safety of road travel can be increased if vehicles can be made to form groups for communicating data among themselves. The Bluetooth protocol can be used for inter-vehicle communication among vehicles equipped with Bluetooth devices. This work presents a novel approach to increase the safety of road travel using the concepts of wireless sensor networks and the Bluetooth protocol. We discuss how vehicles can form mobile ad-hoc networks and exchange data sensed by the on-board sensors. The fusion of these data could give a better understanding of the surrounding traffic conditions. The feasibility of using Bluetooth for data exchange among vehicles is evaluated. Coverage area and probability of detection plots for isotropic and non-isotropic sensors are analyzed to study their use to avoid potential dangerous situations in traffic. As the simulation results show, Bluetooth and sensor networks can be used collaboratively to increase the safety of road travel.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115734981","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":"Micro-simulation of urban expressway weaving sections using field data in Shanghai","authors":"Jian Sun, Xiaoguang Yang, B. Zhang, C. Zhang","doi":"10.1109/ITSC.2004.1399026","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1399026","url":null,"abstract":"A major social problem in the developing countries is the traffic congestion. Weaving sections are a typical type to carry out merge and diverge in urban expressways; meanwhile it is usually a traffic congested bottleneck and incident spot and is characterized for intense lane-changing and complicated driver behavior. Four weaving sections are simulated in CORSIM platform using the field data that come from the traffic information collecting system in Shanghai China. Numerous simulation tests indicated that there are differences in the recurring off-peak and peak time traffic flow in the weaving sections. Considering China's vehicle performance, road status and driver behavior, this conclusion is determined: the main parameters affecting simulation precision are desired free-flow speed, warning sign position, gap acceptance, yield value and time to complete lane-change. Good results are obtained after using the calibrated CORSIM model in simulating the weaving sections.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132607247","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":"Surface operation automation research for airport tower and flight deck automation","authors":"V. Cheng","doi":"10.1109/ITSC.2004.1398970","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398970","url":null,"abstract":"Air traffic growth has resulted in serious peak-traffic flight delays in our National Airspace System, and congestion at key airports has been recognized as one of the key factors contributing to the problem. Airport expansion plans designed to increase the airports' capacities cannot fully realize their potential benefits because they tend to increase the complexity of the airport configurations, thus reducing the efficiency of the system. The surface operation automation research (SOAR) concept was proposed in a previous article as a collaborative concept to provide automation for surface-traffic management and the flight deck to enhance the operational efficiency in complex airport environments. Development and evaluation of the SOAR concept is being pursued in a 5-year program. This work presents a progress update of the program.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125347757","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":"Traffic accidents modeling and analysis using temporal reasoning","authors":"Ioan Chisalita, N. Shahmehri, P. Lambrix","doi":"10.1109/ITSC.2004.1398928","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398928","url":null,"abstract":"Traffic accidents account for more than half a million casualties every year. The analysis of accidents helps identifying the elements that affect traffic conditions, the relationships between them, and how they may contribute to the occurrence of dangerous situations. In this paper, we present a temporal reasoning system for modeling and analyzing various types of accident scenarios. The system is based on event calculus and was implemented using Prolog. We exemplify the use of the system by applying it for modeling and analyzing a rear-end accident scenario.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"30 26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123256379","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":"Research on intelligent vehicle robust controller design method based on noise-add","authors":"Jiuhong Ruan, M. Fu, Hui Ding, Yibin Li","doi":"10.1109/ITSC.2004.1398867","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1398867","url":null,"abstract":"Intelligent vehicle (IV) is one of the core components of intelligent transportation system. From the view of pattern-covering & embedding, the robust improvement mechanism of noise-add is described, and then the controller design method based on noise-add is presented. Fuzzy logic is applied to partition and cover vehicle motion pattern space. The controller's ability to cover and embed vehicle motion patterns is improved by adding noise in the design. Thus the robustness of the control system is enhanced. Simulation results show that the designed controller can adapt to non-linear structure with time-variant parameters and measure noise.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304020","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}
A. Dogan, G. Korkmaz, Yiting Liu, F. Özgüner, Ü. Özgüner, K. Redmill, O. Takeshita, K. Tokuda
{"title":"Evaluation of intersection collision warning system using an inter-vehicle communication simulator","authors":"A. Dogan, G. Korkmaz, Yiting Liu, F. Özgüner, Ü. Özgüner, K. Redmill, O. Takeshita, K. Tokuda","doi":"10.1109/ITSC.2004.1399061","DOIUrl":"https://doi.org/10.1109/ITSC.2004.1399061","url":null,"abstract":"An inter-vehicle communication (IVC) simulator has been developed to evaluate an intersection collision warning system. Various representative intersection collision scenarios are simulated. The physical and media access control layer of the wireless communication network are modelled in the IVC simulator for transmission of collision warning messages. The results show that such a collision warning strategy is a viable way for reducing the collisions at the intersections.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"31 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120816363","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}