Road Network Vulnerability Identification Considering the Impact of Road Sections and Intersections Congestion

被引:0
|
作者
Li Y.-C. [1 ]
Liu S.-M. [2 ]
Yu Y. [2 ]
Li S. [3 ]
机构
[1] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(CEMEE), Luoyang
[2] School of Computer Science and Engineering, Northeastern University, Shenyang
[3] Neusoft Medical Systems Company Limited, Shenyang
关键词
Bottleneck line; Cut-off segmentation; Road traffic network; Spectral analysis; Vulnerability analysis;
D O I
10.13190/j.jbupt.2019-088
中图分类号
学科分类号
摘要
Accurately assessing the vulnerability of road networks is the basis of road planning. The congestion effects of road sections and intersections are considered. The concept of bottleneck lines is introduced to identify the vulnerable line, it is difficult to withstand emergencies due to small road capacity. A road network vulnerability analysis method based on spectral analysis is proposed thereafter, using the minimum segmentation theory of the spectral partitioning to locate the bottleneck line. In addition, in order to solve the problem of large-area cut-off segmentation, a road network improvement measure based on connectivity contribution is proposed, providing improvement suggestions for road network protection. Simulations show that the proposed method is more accurate in locating the bottleneck line compared to comparison scheme, and the network improvement measure can effectively avoid the segmentation phenomenon of the road network. © 2020, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
引用
收藏
页码:14 / 20
页数:6
相关论文
共 10 条
  • [1] Chakraborty O., Das A., Dasgupta A., Et al., A multi-objective framework for analysis of road network vulnerability for relief facility location during flood hazards: A case study of relief location analysis in Bankura District, India, Transactions in GIS, 22, 5, pp. 1064-1082, (2018)
  • [2] Faturechi R., Miller-Hooks E., Measuring the performance of transportation infrastructure systems in disasters: a comprehensive review, Journal of Infrastructure Systems, 21, 1, (2014)
  • [3] Mattsson L.G., Jenelius E., Vulnerability and resilience of transport systems-A discussion of recent research, Transportation Research Part A: Policy and Practice, 81, pp. 16-34, (2015)
  • [4] Chen B.Y., Lam W.H.K., Sumalee A., Et al., Vulnerability analysis for large-scale and congested road networks with demand uncertainty, Transportation Research Part A: Policy and Practice, 46, 3, pp. 501-516, (2012)
  • [5] Li Y., Luo X., Che G., Vulnerability identification of urban road network under abrupt congestion condition, Journal of Highway and Transportation Research and Development, 34, 5, pp. 129-136, (2017)
  • [6] Bell M.G.H., Kurauchi F., Perera S., Et al., Investigating transport network vulnerability by capacity weighted spectral analysis, Transportation Research Part B: Methodological, 99, pp. 251-266, (2017)
  • [7] Reggiani A., Nijkamp P., Lanzi D., Transport resilience and vulnerability: the role of connectivity, Transportation Research Part A: Policy and Practice, 81, pp. 4-15, (2015)
  • [8] Akbarzadeh M., Reihani S.F.S., Samani K.A., Detecting critical links of urban networks using cluster detection methods, Physica A: Statistical Mechanics and Its Applications, 515, pp. 288-298, (2019)
  • [9] Golub G.H., Van Loan C.F., Matrix Computations, pp. 50-495, (2012)
  • [10] LeBlanc L.J., An algorithm for the discrete network design problem, Transportation Science, 9, 3, pp. 183-199, (1975)