چکیده مقاله
Railway network is an integral part of the economics of each country Network executives tend to know which parts of the network is vulnerable to catastrophic disruptions, and consequently add necessary redundancy to enhance rail network resiliency The vulnerability of each part of the network is measured by calculating increased cost or delaywhen that part is disrupted In this paper, we present two models to assess the vulnerabilityof the rail networks in the context of bi level combinatorial optimization The first model determines those critical links which have the most impact on the routing cost wheninterdicted, and the next one accounts the cost of scheduling over all origins and destinations The trains are scheduled by a time space framework while considering a variety of information including customer demand, track and station capacities, and time planning horizon The paper includes a computational instance which has been analyzed by the proposed models under various disruption scenarios, and the results are compared withthe full enumeration method, namely network scan The accuracy of obtained results in addition to very fast computational time indicates the effectiveness of the proposed method
کلیدواژهها
نویسندگان
Mostafa Bababeik
PhD Student, School of Civil Engineering, College of Engineering, University of Tehran, Iran
Navid khademi
Assistant Professor, School of Civil Engineering, College of Engineering, University of Tehran, Iran Senior researcher, THEMA Université de Cergy Pontoise, 33, boulevard du Port, 95011 Cergy Pontoise Cedex, France
Kambiz Behnia
Associate Professor, Assistant Professor, School of Civil Engineering, College of Engineering, University of Tehran, Iran
شیوه ارجاع
Bababeik, Mostafa and khademi, Navid and Behnia, Kambiz,1394,Vulnerability Analysis of Railway Networks in Case of Multi-Link Blockage,The 15th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات پانزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک11 اسفند 1394 · تهران