Identifying critical disruption scenarios and a global robustness index tailored to real life road networks

详细信息    查看全文

• 作者：Saeed Asadi Bagloee^a ; ^{saeed.bagloee@unimelb.edu.au} ; Majid Sarvi^a ; ^{majid.sarvi@unimelb.edu.au} ; Brian Wolshon^b ; ^{brian@rsip.lsu.edu} ; Vinayak Dixit^c ; ^{v.dixit@unsw.edu.au}
• 关键词：Critical roads ; K most vital links ; Network robustness ; Fragile ; Sensor (loop detector) location problem (SLP) ; Discrete network design problem (DNDP) ; Benders decomposition ; Lorenz curve
• 刊名：Transportation Research Part E: Logistics and Transportation Review
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：98
• 期：Complete
• 页码：60-81
• 全文大小：1377 K
• 卷排序：98

文摘

K most vital links are found, a global index for road network robustness is defined. Based on sensor (loop detector) location problem we find a number of critical roads. Based on discrete network design problem we find the most disruptive combinations. Solution algorithm is based on system optimal relaxation and Benders decomposition. Out of the disruptive scenarios a robustness index is derived based on Lorenz Curve.