{"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}
{"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":"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":"Research reviews of socio-economic impact evaluation for VMS project on freeway","authors":"Su Baofeng, J. Zhicai, S. Leleur, Wu Wenjing","doi":"10.1109/ITSC.2005.1520190","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520190","url":null,"abstract":"VMS project works as an essential component in ITS traffic information offering system. The paper reviews main international literatures of impact evaluation on VMS, points out issues existing in the past researches, analyzes socio-economic benefits produced by VMS and offers calculating models. Based on analysis in different evaluation methods, the paper applies benefit-cost analysis method, in an effort to show that socio-economic impact evaluation for VMS should begin with the control strategy of VMS, and subsequently technology evaluation, because above them are design and technology bases of VMS. Socio-economic impacts or benefits are reflected through its effects on traffic system and broad society and environment. The approach to identify VMS's socio-economic impacts in traffic network system is applicable to explore potential or indirect benefits of VMS, especially to evaluate integrative impacts among VMS and other components of traffic information offering system for ITS.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"46 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":"124827053","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}
W. Jia, Huaifeng Zhang, Xiangjian He, Massimo Piccardi
{"title":"Mean shift for accurate license plate localization","authors":"W. Jia, Huaifeng Zhang, Xiangjian He, Massimo Piccardi","doi":"10.1109/ITSC.2005.1520110","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520110","url":null,"abstract":"This paper presents a region-based algorithm for accurate license plate localization, where mean shift is utilized to filter and segment color vehicle images into candidate regions. Three features are extracted in order to decide whether a candidate region represents a real license plate, namely, rectangularity, aspect ratio, and edge density. Then, the Mahalanobis classifier is used with respect to above three features to classify license plate regions and non-license plate regions. Experimental results show that the proposed algorithm produces high robustness and accuracy.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"9 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":"128743322","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":"Qualitative analysis of traffic jam formation in urban ring road","authors":"W. Guan, Hui Hu","doi":"10.1109/ITSC.2005.1520098","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520098","url":null,"abstract":"In this paper, the procedure of traffic jams formation in urban ring road are studied qualitatively. Some concepts such as homogeneous measure index (HMI) and spatial-temporal difference index (SDI) are utilized to scale the cross-lane inhomogeneities of the traffic flow, and the spatial-temporal state transitions of the traffic flow are explained in terms of HMI and SDI. We present the actual data of Beijing Third Ring Road to describe the procedure of a traffic jam formation, and the concepts proposed in this paper are used to explain the causality of the traffic jam formation.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"59 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":"126239519","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}