{"title":"A general framework for the management of transportation systems affected by recurrent adverse weather conditions","authors":"P. Fiorucci, F. Gaetani, R. Minciardi","doi":"10.1109/ITSC.2005.1520218","DOIUrl":null,"url":null,"abstract":"In the paper, an integrated approach is presented, able to support the decision makers in the planning phase and in preventive/real time phases relevant to transportation systems subject to recurrent severe weather conditions. In the planning phase regressive models are carried out in order to measure the impact of adverse weather conditions on the efficiency of the traffic network, aiming at identifying the links most heavily responsive to such conditions. Besides, a weather responsive traffic management system (WRTMS), based on dynamic models and optimisation, is presented and discussed. Such a system has the purpose of supporting traffic managers in all decisions concerning the preventive location/allocation of resources able to mitigate the effect of weather conditions on the traffic infrastructures, as well as the real-time traffic management.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2005.1520218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In the paper, an integrated approach is presented, able to support the decision makers in the planning phase and in preventive/real time phases relevant to transportation systems subject to recurrent severe weather conditions. In the planning phase regressive models are carried out in order to measure the impact of adverse weather conditions on the efficiency of the traffic network, aiming at identifying the links most heavily responsive to such conditions. Besides, a weather responsive traffic management system (WRTMS), based on dynamic models and optimisation, is presented and discussed. Such a system has the purpose of supporting traffic managers in all decisions concerning the preventive location/allocation of resources able to mitigate the effect of weather conditions on the traffic infrastructures, as well as the real-time traffic management.