| Full text | |
| Author(s): |
Total Authors: 2
|
| Affiliation: | [1] Univ Nove Julho UNINOVE, Ind Engn Grad Program, Vergueiro St 235-249, BR-01525000 Sao Paulo, SP - Brazil
[2] Univ Nove Julho UNINOVE, Informat & Knowledge Management Grad Program, Vergueiro St 235-249, BR-01525000 Sao Paulo, SP - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 582, NOV 15 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Intelligent transportation systems (ITS) use information technology and control devices like traffic lights and sensors to help commuters in achieving flow coordination, improving safety and smoothness in mobility and providing valuable information to public managers. But ITS devices are not free of vulnerabilities against cyber-attacks and failures. The impacts of traffic light disruption will be different for different street network structures. Complex network analysis can be used to evaluate critical infrastructures like street networks, revealing patterns of flow distribution, path redundancy, efficiency and robustness. But, at the present moment, the correlations between street network topology and the impact of traffic light disruptions were not sufficiently addressed in the literature. This work aims to evaluate the role of topological configuration and resilience of street networks when subjected to traffic light disruption, 50000 trips were simulated using three attack strategies that prioritize traffic lights based on complex network centrality metrics. Complex street, network analysis is used to interpret the results of the trip simulation. (C) 2021 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 18/08326-6 - STUDY OF NEIGHBORHOOD STRUCTURES AND LOCAL SEARCH STRATEGIES IN GPU FOR THE CLASSICAL JOB SHOP SCHEDULING PROBLEM. |
| Grantee: | Fabio Henrique Pereira |
| Support Opportunities: | Regular Research Grants |