{"title":"Evaluating the user interfaces of an integrated system of in-car electronic devices","authors":"A. Kun, W. Miller, W. Lenharth","doi":"10.1109/ITSC.2005.1520179","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520179","url":null,"abstract":"The Project54 system integrates electronic devices in police cruisers and provides a speech user interface and a GUI. It also incorporates the original user interfaces provided by the devices' manufacturers. We evaluate how the different interfaces are used by officers in the field and report on three lessons on designing in-car user interfaces.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128527892","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":"Individualized drowsiness detection during driving by pulse wave analysis with neural network","authors":"K. Hayashi, K. Ishihara, H. Hashimoto, K. Oguri","doi":"10.1109/ITSC.2005.1520170","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520170","url":null,"abstract":"This paper presents a detection method of driver's drowsiness with focus on analyzing individual differences in biological signals and performance data. We have studied biological signals of a driver to detect drowsiness during driving. Our former research suggested a method analyzing changes in indexes derived from biological signals, however the method needs to be configured for each driver because the relation between the indexes and the drowsiness depends on individuals. To analyze the indexes in consideration of the individual differences, neural networks was used in this paper. The learning function the networks was utilized to adapt to the differences. We conducted a experiment that 6 drivers drove a driving simulator to gather their pulse wave and steering data. As the result of learning and analyzing the indexes in neural networks, 98% of the highest ratio was shown in detection of driver's drowsiness. A method of detecting driver's drowsiness is a need for realization of safer traffic environment. The proposed method would contribute to prevent traffic accidents caused by human errors in a drowse.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128708004","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}
Jingsong Hu, R. German, A. Heindl, R. Kates, M. Unbehaun
{"title":"Traffic modelling and cost optimization for transmitting traffic messages over a hybrid broadcast and cellular network","authors":"Jingsong Hu, R. German, A. Heindl, R. Kates, M. Unbehaun","doi":"10.1109/ITSC.2005.1520217","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520217","url":null,"abstract":"Broadcast networks are typically used for distributing common information (music, data) to many users within a given service area, while cellular networks provide point-to-point voice or data delivery to individual users. The fundamental difference from an economic point of view is that cellular networks follow a 'pay-per-use' paradigm with 'per minute' or 'per kbyte' charges, whereas commercial broadcast services (e.g. pay-TV) are charged for by long-term (months or years) subscriptions. In this paper, we investigate a hybrid system for carrying traffic information services. It comprises a data broadcast network for providing the base capacity and a cellular network for carrying the peak traffic exceeding this base capacity. Cellular capacity for the excess data traffic can be purchased whenever needed. However, capacity in broadcast networks is typically leased for long periods of time (potentially several years) at a fixed price. The key problem is how to choose depending on the statistic properties of the input data traffic - the fixed broadcast capacity such that the overall operation cost for the hybrid network is minimized. Results for a telematics service delivering traffic information show that indeed considerable cost savings can be achieved by carefully balancing the capacity allocated in the broadcast network against the peak traffic redirected through the cellular network. The simple analytical model proposed to aid in this tradeoff is validated by simulations.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127045988","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 simulation for intelligent transportation systems development","authors":"M. Marques, R. Neves-Silva","doi":"10.1109/ITSC.2005.1520068","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520068","url":null,"abstract":"This paper presents a traffic simulation environment and test development of intelligent transportation systems. The GESTRAF traffic simulator is based on a cellular automata approach where the individual uniqueness has been stressed in the cell model. Each vehicle-driver pair has the same dynamic structure based on basic kinematics and structural behavior of human in the loop as a controller for speed and relative distance to other cars. The model includes also the decision making process from the driver in changing lanes. The individuality of each of these models appears from the model parameters that are randomly generated from statistical distributions introduced in the simulator. This allows the integration of the individuality factor of the population elements. The result is a flexible tool where it is possible to add new elements in order to simulate a wide variety of situations.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"809 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123922104","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":"Fair policies for travel on neighborhood streets","authors":"S. Chawathe","doi":"10.1109/ITSC.2005.1520192","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520192","url":null,"abstract":"The residents of each street in a neighborhood can improve their travel times by forming agreements with the residents of other streets to permit mutual thoroughfare. However, this benefit comes with the cost of additional neighborhood traffic. The key problem addressed by this paper is that of determining a policy that is fair to each street's residents' desires to minimize their travel time by using neighborhood streets while also minimizing traffic on their street. We model this problem using a street graph and apply game theoretic methods in order to characterize solutions.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"2023 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607853","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}
T. Larsson, M. Taveniku, C. Wigren, P. Wiberg, B. Svensson
{"title":"T4 - telematics for totally transparent transports","authors":"T. Larsson, M. Taveniku, C. Wigren, P. Wiberg, B. Svensson","doi":"10.1109/ITSC.2005.1520093","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520093","url":null,"abstract":"Transports can be made safer, more secure and efficient by help of telemetry and tracking on-line in real time. T4 is a system architecture aimed to support the development of telematic services for transparent tracking and surveillance monitoring of goods transported by different means on a global scale. The main idea is to focus on the transported pallets or parcels instead of the vehicles moving them. To enable rapid response to new customer requirements and to support remote management of field equipment, software implemented services are designed, packaged, deployed and mediated using XML, Java and the OSGi software technology standards.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127990729","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 maximum-flow approach to dynamic handling of multiple incidents in traffic evacuation management","authors":"G. Hamza-Lup, K. Hua, Rui Peng, A. H. Ho","doi":"10.1109/ITSC.2005.1520213","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520213","url":null,"abstract":"Contemporary terrorists have made public transportation a new theater of operations. Specifically, attacks on the urban transportation system can cause great disruption and alarm, which are the traditional goals of terrorism. The unexpected and stochastic character of terrorist attacks poses unique challenges to those responsible for security. Since the threat of terrorism is obscure and security measures are costly, it is hard to justify the expenditures before an attack. Security against terrorism therefore tends to be reactive. In this paper we propose new ITS technologies to enhance the surface transportation aspects of homeland security, by providing more efficient and safer evacuation for general public in case of terrorist attacks or other human caused disasters. In particular, we extend our existing work on developing a smart traffic evacuation management system (STEMS), by enhancing it with capabilities to adapt to the dynamics of the traffic environment, by leveraging real-time information obtained from sensors or other surveillance technologies. STEMS handles the unexpected aspect of terrorist attacks or other unpredictable disasters, by generating evacuation plans dynamically, when given an incident location and scope. To handle traffic dynamics, STEMS will continue to revise the initially generated plan, during the evacuation operation, to keep it consistent with the continuously changing traffic conditions. The advantages of this revision process are two-fold: first, it ensures that traffic will not be directed towards congested areas; and secondly, it decreases congestion by spreading the traffic from currently congested segments to alternative routes. Our simulation studies show that employing real-time information greatly improves STEMS performance and therefore, evacuation efficiency.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115923795","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":"Mobile phones as a basis for traffic state information","authors":"W. Schneider","doi":"10.1109/ITSC.2005.1520148","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520148","url":null,"abstract":"Conventional traffic sensors usually need expensive roadside infrastructure or onboard units. The idea was to use existing hardware for floating car technology. This paper describes the methodology to generate traffic state information based on mobile phones as mobile sensors. A demonstrator is run in the area of Vienna where smartphones detect cell transitions. A server deduces traffic information from a series of geo-referenced cell transitions. The required travel times are opposed to the travel times at free traffic flow. Successfully tested output classes represent interfaces to several service providers. Experience from the pilot project shows that the creation of simple sensor systems with existing devices is a useful way.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132117510","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 human-computer interface modelled with Petri nets for disabled transportation","authors":"A. Abellard, M. Khelifa, M. Bouchouicha","doi":"10.1109/ITSC.2005.1520126","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520126","url":null,"abstract":"Hardware/software codesign is a difficult issue to deal with, all the more so as a unique, structured and automatic methodology, providing the acceleration of design process and the dynamic evaluation of different compromises, is still lacking. Data flow Petri nets that we studied are an efficient solution to make it possible, combined with the use of a hardware description language, so that they can be implemented on programmable chips. The example described in this paper deals with a wheelchair whose hand lever can adapt to the user's handicap. For some disabled people, the use of a wheelchair can be difficult, for physical or cognitive impairments. Moreover, a choice has been made for modular structure and non-specific material for practical reasons. Therefore, the Fauteull Roulant A Commande Adaptee au Handicap (wheelchair with adaptive command for people with disabilities) project has been developed. The lever is handled by an artificial neural network that records functional limitations of the hand, and then compensates them. First experiments and first implementation studies of a neural network give encouraging results.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130037427","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":"Evaluative feedback as the basis for behavior optimization in the of autonomous vehicle steering","authors":"K. Kuhnert, Michael Krödel","doi":"10.1109/ITSC.2005.1520128","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520128","url":null,"abstract":"Steering an autonomous vehicle requires the permanent adaptation of behavior in relationship to the various situations the vehicle is in. This paper describes a research which implements such adaptation and optimization based on reinforcement learning (RL) which in detail purely learns from evaluative feedback in contrast to instructive feedback. In this way it self-explores and self-optimises actions for situations in a defined environment. The target of this research is to determine to what extent RL-based systems serve as an enhancement or even an alternative to classical concepts of autonomous intelligent vehicles such as modelling or neural nets.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134303989","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}