Finding Best Urban Routes Based On Analyses Of High Level And Iopt Petri Net Models

dc.creatorDezani H.
dc.creatorGomes L.
dc.creatorDamiani F.
dc.creatorMarranghello N.
dc.date2012
dc.date2015-06-25T20:27:06Z
dc.date2015-11-26T15:21:21Z
dc.date2015-06-25T20:27:06Z
dc.date2015-11-26T15:21:21Z
dc.date.accessioned2018-03-28T22:30:50Z
dc.date.available2018-03-28T22:30:50Z
dc.identifier9781467324212
dc.identifierIecon Proceedings (industrial Electronics Conference). , v. , n. , p. 6126 - 6131, 2012.
dc.identifier
dc.identifier10.1109/IECON.2012.6389079
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84872965478&partnerID=40&md5=d632e8087636c337976c146fdcb164d0
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90666
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90666
dc.identifier2-s2.0-84872965478
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1260197
dc.descriptionThis paper presents a tool that combines two kinds of Petri Net analyses to set the fastest routes to one vehicle in a bounded area of traffic urban. The first analysis consists of the discovery of possible routes in a state space generated from an IOPT Petri net model given the initial marking as the vehicle position. The second analysis receives the routes found in the first analysis and calculates the state equations at incidence matrix created from the High Level Petri net model to define the fastest route for each vehicle that arrive in the roads. It was considered the exchange of information between vehicle and infrastructure (V2I) to get the position and speed of all vehicles and support the analyses. With the results obtained we conclude that is possible optimizing the urban traffic flow if this tool is applied to all vehicles in a bounded urban traffic. © 2012 IEEE.
dc.description
dc.description
dc.description6126
dc.description6131
dc.descriptionThe Institute of Electrical and Electronics Engineers (IEEE),IEEE Industrial Electronics Society (IES)
dc.descriptionRoess, P., Prassas, E.E., MacShane, W.E., (2010) Traffic Enginnering, , 4th ed., Prentice Hall
dc.descriptionNi, D., Determining Traflic-flow characteristics by definition for application in ITS (2007) IEEE Trans. Intelligent Transportation Systems, 8, pp. 181-187. , June
dc.descriptionMiller, J., Vehicle-to-Vehicle-to-Infrastructure (V2V2I) intelligent transportation system architecture Conf. Rec. 2008 IEEE Intelligent Vehicles Symposium, pp. 715-720
dc.descriptionKumar, P., Singh, V., Reddy, D., Advanced traveler information system for Hyderabad city (2005) IEEE Trans. Intelligent Transportation Systems, 6, pp. 26-37. , March
dc.descriptionReisig, W., (1985) Petri Nets: An Introduction, , New York, NY. USA: SpringerVerlag New York, Inc
dc.descriptionDi Febbraro, A., Giglio, D., Sacco, N., Urban traflic control structure based on hybrid Petri nets (2004) Intelligent Transportation Systems, IEEE Transactions on, 5, pp. 224-237
dc.descriptionDotoli, M., Fanti, M.P., An urban traffic network model via coloured timed Petri nets (2006) Control Engineering Practice, 14, pp. 1213-1229
dc.descriptionJensen, K., Kristensen, L.M., (2009) Coloured Petri Nets: Modeling and Validation of Concurrent Systems, 1. , Springer Verlag
dc.descriptionVazquez, C.R., Sutarto, H.Y., Boel, R., Silva, M., Hybrid Petri net model of a traffic intersection in an urban network Control Applications (CCA), 2010 IEEE International Conference on, 20 (10), pp. 658-664
dc.descriptionMurata, T., Petri nets: Properties, analysis and applications (1989) Proceedings of the IEEE, 77, pp. 541-580
dc.descriptionWong, S.C., Wong, W.T., Leung, C.M., Tong, C.O., Group-based optimization of a time-dependent TRANSYT traffic model for area traflic control (2002) Transportation Research Part B: Methodological, 36, pp. 291-312
dc.descriptionRobertson, D.I., Bretherton, R.D., Optimizing networks of traffic signals in real time-The SCOOT method (1991) Vehicular Technology, IEEE Transactions on, 40, pp. 11-15
dc.descriptionDongkai, F., Ping, S., Improvement of Dijkstra's algorithm and its application in route planning (2010) Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on, pp. 1901-1904
dc.descriptionRandria, I., Ben Khelifa, M.M., Bouchouicha, M., Abellard, P., A comparative study of six basic approaches for path planning towards an autonomous navigation (2007) Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE, pp. 2730-2735
dc.descriptionQu, Y., Li, L., Liu, Y., Chen, Y., Dai, Y., Travel routes estimation in transportation systems modeled by Petri Nets (2010) Vehicular Electronics and Safety (ICVES), 2010 IEEE International Conference on, pp. 73-77
dc.descriptionLiu, X., Huang, S., The simulation algorithm of military transportation shortest path based on petri net (2009) Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on, pp. 111-114
dc.descriptionDavid, R., Alla, H., On Hybrid petri nets (2001) Discrete Event Dynamic Systems, 11, pp. 9-40
dc.descriptionMoutinho, F., Gomes, L., State space generation algorithm for gals systems modeled by IOPT Petri nets (2011) IECon 2011 - 37th Annual Conference on IEEE Industrial Electronics Society, pp. 2839-2844
dc.descriptionPereira, F., Moutinho, F., Gomes, L., Ribeiro, J., Campos-Rebelo, R., An IOPT-net state-space generator tool (2011) Industrial Informatics (INDIN), 2011 9th IEEE International Conference on, pp. 383-389
dc.descriptionPereira, F., Moutinho, F., Gomes, L., Campos-Rebelo, R., IOPT Petri net state space generation algorithm with maximal-step execution semantics (2011) Industrial Informatics (INDIN), 2011 9th IEEE International Conference on, pp. 789-795
dc.descriptionKong, Y., Xue, A., Urban traflic incident detection based on fuzzy logic (2006) IEEE Industrial Electronics, IECon 2006 - 32nd Annual Conference on, pp. 772-775
dc.descriptionKelley, S., Goldberg, M., Magdon-Ismail, M., Mertsalov, K., Wallace, W., Zaki, M., GraphOnt: An ontology based library for conversion from semantic graphs to .JUNG (2009) Intelligence and Security Informatics, 2009. ISI'09. IEEE International Conference on, pp. 170-172
dc.languageen
dc.publisher
dc.relationIECON Proceedings (Industrial Electronics Conference)
dc.rightsfechado
dc.sourceScopus
dc.titleFinding Best Urban Routes Based On Analyses Of High Level And Iopt Petri Net Models
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución