{"title":"Formal design of public transport stations owing to hybrid event graphs (HEG)","authors":"F. Kaakai, S. Hayat, A. E. Moudni","doi":"10.1109/ITSC.2005.1520081","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520081","url":null,"abstract":"Whatever the period in the day and the season in the year multimodal hubs are characterized by a high concentration of travellers, particularly inside the public transport stations. In order to avoid accidents caused by platforms or quays saturation, the stations must be designed so that they can absorb peaks of travellers during the rush hours. A formal design method is developed in this paper. It is based on hybrid event graphs which are a class of hybrid Petri nets. This model allows following and evaluating the maximal number of travellers into the station in order to design secure facilities through rush period scenarios.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"38 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":"134080211","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":"MADARP: multi-agent architecture for passenger transportation systems","authors":"C. Cubillos, F. Guidi-Polanco, C. Demartini","doi":"10.1109/ITSC.2005.1520088","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520088","url":null,"abstract":"This work presents the MADARP agent architecture, devoted to the implementation of passenger transportation systems. It provides a set of base agents that perform the basic interface, planning and support services for managing different types of transportation requests by using an heterogeneous fleet. The agent use allows to easily adapt the architecture to different planning models by integrating vehicles and users in a pervasive way. Three planning models were implemented using the architecture and compared to check the framework validity.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"150 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":"134101740","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":"Mining data from induct loops","authors":"O. Přibyl, P. Pribyl","doi":"10.1109/ITSC.2005.1520101","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520101","url":null,"abstract":"The complicated traffic situation in Prague is not only due to a rise of the number of cars in the last few years, but also due to historical formed streets which are not able to fully satisfy present traffic performances. Also the ratio of motorization is higher here than, for example, in Vienna or Cologne. Using standard methods cannot solve the enormous traffic problems - a new approach should be used. The traffic control in an area of Prague discussed in this paper is based on an adaptive control MOTION. Often, the level of service (LOS) in this area is on the threshold of saturation when the control system cannot significantly improve the situation. For this reason it has to be supported by another system, which provides information about the current traffic conditions to drivers and together create a hybrid traffic management system. Variable message signs (VMS) are used to distribute this information. This paper describes the way how information about LOS can be collected from the induct loops and distributed to the VMS. Most attention is paid to an automated mining of data from detectors. The algorithm used is based on clustering using genetic algorithms.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"34 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":"132713899","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 behavioural classification from trajectory data","authors":"M. Rigolli, Q. Williams, M. Gooding, M. Brady","doi":"10.1109/ITSC.2005.1520168","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520168","url":null,"abstract":"In recent years, traffic video surveillance has increased significantly. However, most of the footage is reviewed by humans or not at all. Tools capable of analysing traffic video sequences and autonomously extracting information are required. This paper presents an analysis of two automatic methods for classifying driver behaviour using only data provided by vehicle trackers. The algorithms are tested on several simulated traffic situations and their performance is compared to human observers. Factor analysis is shown to outperform human observers. We believe this is the first time automatic behavioural clustering of drivers using trajectory information has been successfully demonstrated.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"22 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":"133020417","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 extreme value based neural clustering approach for identifying traffic states","authors":"E. Vlahogianni, M. Karlaftis, A. Stathopoulos","doi":"10.1109/ITSC.2005.1520197","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520197","url":null,"abstract":"Traffic data are characterized by the occurrence of extreme events and frequent shifts to and from congestion. Current practice in traffic forecasting suppresses or disregards these features. But, indications suggest that these features may encompass useful information for modeling congested condition, as well as the transitions to and from congestion. This paper proposes a self-organizing approach to clustering traffic conditions based on information acquired from the 'peaking' behavior of traffic. Primary findings suggest that traffic has a strong transitional behavior that is reflected by frequent peaks detected in time series of volume and occupancy. The main finding is that traffic can be clustered into four distinct areas of traffic characteristics: (i) free-flow, (ii) medium flow states where traffic volume fluctuates in high values and occupancy is low, (iii) medium flow states where volume fluctuates in high values but occupancy increases sharply, and (iv) congestion. The main contribution of this approach is that it enables extracting a posteriori information from real-time traffic data as it pertains to boundary traffic conditions and it clusters traffic based on the occurrence of transitional movements.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"25 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":"126950466","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}
K. Tischler, M. Clauss, Y. Guenter, N. Kaempchen, R. M. Schreier, M.M. Stiegeier
{"title":"Networked environment description for advanced driver assistance systems","authors":"K. Tischler, M. Clauss, Y. Guenter, N. Kaempchen, R. M. Schreier, M.M. Stiegeier","doi":"10.1109/ITSC.2005.1520149","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520149","url":null,"abstract":"An overview of our work is given which provides future driver assistance systems with an extended environment description. In detail, methods for low-delay video compression, attention selection, sensor data fusion, inter-vehicle communication, cooperative cognition of vehicles and the improvement of gear shift logic are presented. The algorithms were developed in the context of a joint project of the University of Ulm and the University of Karlsruhe. To evaluate the system in real traffic situations, we are equipped with two test vehicles.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"30 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":"124095914","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 distributed framework for real-time in-vehicle applications","authors":"K. Chaaban, Mohamed Shawky, P. Crubillé","doi":"10.1109/ITSC.2005.1520174","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520174","url":null,"abstract":"This paper presents a framework for distributed in-vehicle real-time applications. The framework is based on a client/server and emitter/receiver models with real-time extensions. The system allows the exchange of distributed data objects between calculators interconnected by a network bus. A dynamic reconfiguration and fault detection mechanisms are developed to ensure a reliable system. Interactions between processes are performed using the IEEE-1394 bus and are modeled as invocations to communicating active objects via an object oriented middleware called SCOOT-R that we developed. Finally, we present a typical automotive application involving our system: real-time accurate vehicle positioning on a digital map.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"77 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":"121281477","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":"Modeling and simulation of an unconventional traffic circle","authors":"Bekir Bartin, K. Ozbay, Ozlem Yanmaz, Neha Rathi","doi":"10.1109/ITSC.2005.1520079","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520079","url":null,"abstract":"This paper deals with the development of a credible and valid simulation model of Collingwood circle in New Jersey for the afternoon peak period. The circle is modeled in PARAMICS simulation software. PARAMICS is amongst the limited number of off-the-shelf simulation softwares that can model unconventional traffic circles. However it is demonstrated in this paper that the default capabilities of PARAMICS are not sufficient to develop a valid simulation model of unconventional circles and roundabouts. It is also shown that the application programming interface (API) feature of PARAMICS is required for a statistically valid simulation model of the study circle. Gap acceptance/ rejection of drivers is modeled using binary probit model in STATA statistical software based on field data. The probit model is then implemented in the simulation using PARAMICS API.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"29 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":"121149117","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 cost behavior of intelligent transportation systems over time","authors":"D. Jawad, K. Ozbay","doi":"10.1109/ITSC.2005.1520194","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520194","url":null,"abstract":"The successful deployment of any innovative system relies heavily on conducting a credible ex-ante evaluation and planning. Among such innovative systems are the intelligent transportation systems (ITS), which promise a cure-all remedy to the staggering adverse impacts of traffic congestion. Yet these systems have different characteristics than the traditional transportation systems-such as different lifecycles and cost structures, and higher uncertainties in terms of benefits, costs or obsolescence. This paper investigates the cost behavior of ITS and questions whether the long-established practice of assuming the project-specific inflation rates to be the same as the general inflation rate-that the traditional approach adopted while conducting the economic and financial analysis of the conventional transportation projects-can be applied to ITS projects. The methodology used for this study follows three different approaches that look into the behavior of inflation rate with respect to ITS projects. The results indicate that a sector-specific inflation rate must be derived and used. This recommended practice will lead, on the whole, to better planning, more effective deployment and improved lifecycle management of these technology driven systems.","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":"127980908","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 low-cost distributed control architecture for intelligent transportation systems deployment in the State of Oklahoma","authors":"R. Huck, J.P. Havlicek, J. Sluss, A. R. Stevenson","doi":"10.1109/ITSC.2005.1520173","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520173","url":null,"abstract":"Cost is a major issue for ITS deployment in Oklahoma. We introduce a novel distributed control architecture that has totally eliminated the need for an expensive monolithic traffic management center, thereby dramatically reducing the overall system cost. Analog and digital video streams from the various metro areas are seamlessly integrated by a fault tolerant, dynamically reconfigurable peer-to-peer network of low-cost geographically distributed ITS Consoles operating under the philosophy that any console should be able to control any system resource at any time.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"5 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":"125465218","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}